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1、BARC DATA CULTURE SURVEY 23 HOW TO LIBERALIZE DATA ACCESS TO EMPOWER DATA USERSTOPICAL SURVEYThis study was prepared by BARC,an inde-pendent market analyst firm.It is available free of charge thanks to the generosity of Denodo,Snowflake,Tableau and Zeenea.Authors Dr.Carsten BangeTimm Grosser2BARC Da
2、ta Culture Survey 23-How to liberalize data access to empower data users BARC 2022TABLE OF CONTENTSForeword.3Management Summary.4BARC Data Culture Framework.8Action Items.901 The Current Status of Data-Driven Decision-Making.1102 Data Culture Achievements and Priorities.1303 Data Access.19Demographi
3、cs.25BARC Profile.27Sponsor Profiles.28Authors.32FOREWORD“Data culture eats data strategy for breakfast”has become a popular saying among data and analytics managers and executives.Even the best data strategy cannot fulfill its potential if the data culture in the company does not match it.Ultimatel
4、y,it is the people in the company who have to change their behavior and mindset in order to benefit from the ever-increasing amount of data available to them.In last years BARC Data Culture Survey,participants named data access as the most frequently implemented of the six elements in BARCs Data Cul
5、ture Framework.For this reason,this year we focused on questions about the implementation of data access.The results provide interesting insights into prevailing views on the right to know and need to know principles of data access,the technologies used and the importance of data knowledge(i.e.,the
6、information available on data and the skills required to use it).In this years survey,data access is now considered the most relevant initiative to positively influence data culture while data strategy took first place from data access as the most commonly implemented initiative.This confirms that t
7、he opening statement has reached the top of organizations and that the consideration and development of a data culture should be anchored in the data strategy.Carsten Bange and Timm GrosserWrzburg,November 2022Following an increase in 2021,the proportion of companies making primarily data-driven dec
8、isions has remained stable this year at around one third.50 percent state that they generally base their decisions on a combination of data and gut feeling.01THE MAJORITY RELIES ON A MIXTURE OF DATA AND GUT FEELING FOR DECISION-MAKINGThere is a clear understanding that data is an asset to the organi
9、zation.Almost three quarters of respondents also state that they have recognized the need to invest in ways to access,link and understand metadata.However,when asked about the specific technologies used,it is apparent that the most appropriate tools are not very widespread yet.There is still work to
10、 be done to implement and disseminate data knowledge.02DATA KNOWLEDGE IS ESSENTIAL TO DATA AND ANALYTICSBARC Data Culture Survey 23-How to liberalize data access to empower data users BARC 20224MANAGEMENT SUMMARY47%34%51%25%21%19%0%10%20%30%40%50%60%20202021Half data-based and half basedon experienc
11、e or gut feelingPredominantly or purely data-basedPredominantly or purely basedon experience or gut feeling202232%54%18%Are decisions in your company based on data or gut feeling?(n20=412,n21=429,n22=374)40%30%43%44%13%21%4%5%Data/information is considered an assetWe understand that data knowledge i
12、s key for data analytics so we invest or plan to invest in collecting,linking and analyzing metadataStrongly agreeSomewhat agreeSomewhat disagreeStrongly disagreeTo what extent do you agree with the following statements regarding the data culture in your company?(n=372)Almost half of the companies s
13、urveyed count improved decision-making among the goals they have achieved,and more than a third have achieved continuous process improvements and cost reductions through the use of data.However,expectations are much higher and more diverse.Respondents are looking for further improvements in their de
14、cision-making and processes,revenue growth and,ultimately,to gain competitive advantage.03DATA CULTURE PAYS OFFData strategy,data governance and data access are the three data culture initiatives that survey participants consider to be the most relevant and com-monly implemented.On the other hand,da
15、ta leadership,data communication and data literacy initiatives have only been launched by around 20 percent.It is interesting to note that the CxO perspective is quite different:81 percent of CxOs claim that data literacy is already in place or planned,and 78 percent say the same for data communicat
16、ion.04DATA LITERACY,LEADERSHIP AND COMMUNICATION NEED A BOOSTBARC Data Culture Survey 23-How to liberalize data access to empower data users BARC 20225MANAGEMENT SUMMARYPercentage of relevant and being implementedData strategyData governanceData access32%33%34%63%59%72%36%37%49%Cost reduction throug
17、hthe use of dataContinuous process improvementbased on dataImproved decision-makingAchievedStriving forPlease indicate the current status and relevance of the following data culture measures/approaches in your company.Top 3(n=352)Which positive effects of a data-driven culture have you already achie
18、ved and which do you strive for?(n achieved=367;n strive for=374)The biggest reported obstacles to implementing a data culture are a lack of resources,a lack of knowledge,a lack of roles and responsibilities,and inadequate communication.This is where companies should take action and seize the initia
19、tive if they are serious about becoming data-driven.Unfortunately,it is precisely these obstacles that are the least frequently addressed in concrete initiatives.05COMPANIES SEEM TO FOCUS ON THE WRONG ACTIONSCompanies today still predominantly follow the need to know principle,which means data acces
20、s is only granted on request.59 percent of respondents see greater advantages in the more liberal right to know approach.37 percent have already adopted this principle and believe they are more successful with it.06MOST COMPANIES BELIEVE IN THE VALUE OF LIBERALIZING DATA ACCESSBARC Data Culture Surv
21、ey 23-How to liberalize data access to empower data users BARC 20226MANAGEMENT SUMMARY40%Resource allocation is generally insufficient to strengthen data&analytics39%Lack of knowledge among employees about data&analytics(data literacy)36%Lack of roles&responsibilities for data33%Lack of internal com
22、munication about data&analyticsWhat are the main obstacles to the implementation or initial establishment of a data culture in your company?Top 4 challenges(n=371)Right to knowNeed to know59%41%37%63%Right to knowNeed to knowPrevalent data access principleConsidered as most beneficialWhich data acce
23、ss principle is prevalent in your organization?and which approach do you consider most beneficial for your company?(n=365)The biggest challenges to liberalizing data access are a lack of data knowledge on the part of users and enabling simple access methods.Many of the conditions for better data acc
24、ess must therefore be created first.More than half of all respondents would like their data to be more transparent and want to be able to connect to it more easily.07THE CONDITIONS FOR DATA ACCESS FOR ALL ARE NOT YET IN PLACEBest-in-class companies use technologies and concepts beyond classic busine
25、ss intelligence tools significantly more frequently than laggards.These include tools for metadata management(e.g.,data catalogs,data intelligence platforms),tools for data virtualization,organizational concepts(e.g.,data mesh)and architectural concepts and principles such as data fabric.Best-in-cla
26、ss companies have extracted significantly greater added value than laggards from using these technologies and concepts.For these approaches to be successful,the ability to apply them properly is essential.Knowledge about data,technologies and concepts is a key competency that often needs to be devel
27、oped in the workforce.08BEST-IN-CLASS INCREASINGLY RELY ON MODERN CONCEPTS,TECHNOLOGIES AND METADATABARC Data Culture Survey 23-How to liberalize data access to empower data users BARC 20227MANAGEMENT SUMMARY58%19%Data intelligenceplatforms56%22%Data lake51%25%Data integration44%14%Data catalogs42%1
28、3%Data access engines/data virtualization40%4%Data fabric6%35%Data meshBest-in-classLaggardsMaking data sources known and connectable for data&analytics purposesDocumenting and linking expert knowledge to getdata transparency and context59%55%48%Simplifying data access and preparationfor business us
29、ersWhich technologies/concepts are used in your organization for data access?Largest deviation in tool usage between best-in-class and laggards (top 5,n=115)What do you see as the biggest challenges in data access?Top 3(n=369)The framework identifies the six most important action areas,thus giving c
30、ompanies a guideline on where to focus their attention.There is no hierarchy among the six action areas.Strategy,leadership and governance typically specify goals and parameters in which a data culture is promoted or can be restricted.Data access and data literacy are important enablers,while data c
31、ommunication serves as a facilitator for data culture.8BARC Data Culture Survey 23-How to liberalize data access to empower data users BARC 2022BARC DATA CULTURE FRAMEWORKData LeadershipData StrategyData GovernanceData LiteracyData AccessData CommunicationData CultureACTION ITEMSBARC Data Culture Su
32、rvey 23-How to liberalize data access to empower data users BARC 20229In each of the six pillars of the BARC Data Culture Framework,it is worthwhile to regularly measure progress.It makes sense to obtain the broadest possible amount of feedback from within the company.This survey clearly shows that
33、executives,employees in operational functions and data and analytics leaders can have completely different views on how initiatives are progressing in key areas.The difference is particularly striking in relation to data literacy and data communication.TRACK YOUR PROGRESSTAKE A HOLISTIC AND LONG-TER
34、M APPROACH TO DATA CULTUREChanging the data culture in a company takes time a change of mindset and a shift in behavior cannot come overnight.This is not a sprint but a marathon.However,it also demands a holistic approach that addresses a number of areas at different levels.BARCs model for systemati
35、zing the starting points for changing a data culture the BARC Data Culture Framework has become well established.Opening up the use of data for employees starts with making data available as widely and openly as possible.Consider to what extent a right to know data access principle can be implemente
36、d and driven forward.Concerns about data security should be taken seriously,but must not block a transformation to data access that is open in prin-ciple and has as few hurdles as possible.RETHINK THE OPENNESS IN HANDLING DATAKnowledge about data creates transparency and helps people to find,underst
37、and,evaluate and use data.A lack of documentation is one of the main challenges to data access.Knowledge about data already exists explicitly in the form of metadata.Learn how to extract metadata,expose knowledge from it and promote transparency with data intelligence.It is important to keep the fol
38、lowing in mind:Create clear structures and responsibilities for data so that it can be clearly defined and described.Enable the generation and collection of metadata to help users find and understand data.Get a picture of what information needs to exist about data.Establish a space for knowledge sha
39、ring and encourage employees to share their experiences and results with data in communities or on knowledge platforms.Build trust in data through data governance,such as data quality monitoring and reporting.Encapsulate the complexity of distributed data landscapes and promote easy access to data a
40、nd data knowledge through metadata technologies such as data catalogsBETTER DATA ACCESS DEMANDS DATA KNOWLEDGE04030201ACTION ITEMSBARC Data Culture Survey 23-How to liberalize data access to empower data users BARC 202210The increasing complexity of system and data landscapes and technologies used r
41、equires a rethinking of technology support for access to data.Requirements and scopes have changed.For example,it is not always necessary or useful to physically integrate data.New concepts such as data fabric and data virtualization can help provide data more flexibly.Data knowledge in the form of
42、metadata is also scattered across numerous applications.Tool support(e.g.,in the form of modern data catalogs)helps to organize integration more efficiently and simplify access.06CONSIDER MODERN TECHNOLOGIES THE DATA WAREHOUSE DOES NOT SOLVE ALL PROBLEMS05BUILD COMPETENCE INVEST IN DATA LITERACYLack
43、 of knowledge and competence reduces success in data and analytics and lowers the chances of leveraging the full potential of data.Invest specifically in the development of competencies through education,training,communities,etc.This should reach as many employees as possible,and can only succeed if
44、 the offer of competence development is targeted to different roles,backgrounds and tasks.Furthermore,data literacy should be understood broadly.It is not just a matter of competencies for understanding data,but also of competencies for establishing business context,mastering technologies for access
45、ing and preparing data,and analyzing and communicating with data using the appropriate methods.The use of data for decision-making is relatively constant compared with last year.Half of the companies surveyed make decisions based on a mixture of data and experience or gut feeling,while one third mak
46、e decisions exclusively on the basis of data.The share of companies making decisions based solely on experience is slowly decreasing.2021 in particular showed a 74 PERCENT OF BEST-IN-CLASS COMPANIES RELY ON DATA-DRIVEN DECISION-MAKINGBARC Data Culture Survey 23-How to liberalize data access to empow
47、er data users BARC 202211clear move towards more data-driven decision-making,probably driven by external factors,most notably COVID-19.In our observation,the value of data for decision-making remains clear to most organizations,especially in the context of current global political and economic chall
48、enges.The difficulties lie more in being able to realize this value at a reasonable cost.It is noteworthy that 74 percent of best-in-class companies rely on data and make decisions purely or predominantly based on data.This reveals a significant difference from the average of all participating compa
49、nies(32 percent)and even more so from laggards,of which only 11 percent rely purely or predominantly on data-driven decision-making.28%47%14%34%58%51%25%21%19%0%10%20%30%40%50%60%20142020 2021Half data-based and half basedon experience or gut feelingPredominantly or purely data-basedPredominantly or
50、 purely basedon experience or gut feeling202232%54%18%Are decisions in your company based on data or gut feeling?(n14=697,n20=412,n21=429,n22=374)THE CURRENT STATUS OF DATA-DRIVEN DECISION-MAKING01Data based74%11%Half half23%51%Based on experience2%38%Best-in-classLaggardsAre decisions in your compa
51、ny based on data or gut feeling?By best-in-class(n=115)THE MOST DATA-DRIVEN DEPARTMENTS ARE FINANCE/ACCOUNTING AND SALES/DISTRIBUTIONBARC Data Culture Survey 23-How to liberalize data access to empower data users BARC 202212Survey participants were asked to identify the departments that they conside
52、red to be the most data-driven with the option of naming more than one department.That finance/accounting and sales/distribution occupy the leading positions is to be expected.These areas have had the 5%59%Finance/Accounting44%Sales/Distribution29%Marketing27%Production27%Logistics/Supply chain25%Pu
53、rchasing20%Research and development17%Personnel/HR16%Service/After-SalesOther1%NoneWhich departments in your company are the most data-driven in their decision-making,operational processes and/or organizational structure?(n=374)THE CURRENT STATUS OF DATA-DRIVEN DECISION-MAKING01highest penetration o
54、f BI and analytics tools for a long time.It is interesting that the top two spots flip significantly for best-in-class companies(67 percent for sales/distribution and 53 percent for finance/accounting).The low values(and the distance behind finance/accounting and sales/distribution)are surprising fo
55、r areas such as production and logistics,since it is precisely here that a lot has been done with IoT and other data initiatives in recent years.83 percent of participants confirm that data/information is seen as an asset in their company,but only just over half of the companies surveyed use data as
56、 a major revenue generator.There is obviously still some catching up to do here.Best-in-class companies are significantly further ahead in this regard(84 percent).74 percent of users identify data knowledge as the key to data and analytics and want to invest in collecting,linking and analyzing metad
57、ata.Knowledge resides in the enterprise in the form of metadata.It provides the contextual information necessary to help data users find,understand,trust and apply data.The need for knowledge is recognized.Interestingly,however,this study also shows that few companies are currently investing in proc
58、esses or technologies that help to leverage metadata.However,a detailed look at best-in-class companies shows that 95 percent of them acknowledge the importance of data knowledge and the need to invest.The picture regarding the use of data at various levels of decision-making is also worth mentionin
59、g.At both operational and tactical levels in business Data/information is considered an asset83%17%We understand that data knowledge is key for data analytics so we invest or plan to invest in collecting,linking and analyzing metadata74%26%Decisions at(top)management level are predominantly based on
60、 data66%34%Data platforms and tools are clearly identified and available across the enterprise63%37%Decisions at executive level in business units are predominantly based on data62%38%Decisions at operational level are predominantly based on data61%39%Data is a major revenue generator 53%47%Strongly
61、 or somewhat agreeSomewhat or strongly disagreeDo you agree or disagree with the following statements regarding the data culture in your company?(n=371)DATA KNOWLEDGE IS THE KEY TO THE SUCCESSFUL USE OF DATA AND ANALYTICSBARC Data Culture Survey 23-How to liberalize data access to empower data users
62、 BARC 202213DATA CULTURE ACHIEVEMENTS AND PRIORITIES02units,just under 40 percent of survey respondents claim that decisions are not made primarily on the basis of data.This is quite a high figure.Data-driven decision support should be in place throughout the company at all levels,so there is work t
63、o be done here.When asked about the positive effects of a data culture,the picture this year is similar to last year.Expectations are high while the actual benefits achieved are still significantly lower.The most 63%59%72%36%37%49%Cost reduction throughthe use of dataContinuous process improvementba
64、sed on dataImproved decision-makingAchievedStriving for58%31%56%22%26%29%Competitive advantageGreater acceptance of decisionsRevenue growth throughthe use of dataWhich positive effects of a data-driven culture have you already achieved and which do you strive for?(n achieved=367;n strive for=374)THE
65、 BENEFITS OF A DATA CULTURE ARE PROMISING AND EXPECTATIONS ARE EVEN HIGHERBARC Data Culture Survey 23-How to liberalize data access to empower data users BARC 202214frequently achieved(and also expected)benefit from data culture is improved decision-making,which almost half of the survey participant
66、s have achieved.The benefit with the smallest deviation between expectation and achievement is greater acceptance of decisions.For just under a third,this is a desirable goal,and almost all achieve it.Best-in-class companies prove that improving their data culture pays off.They achieve benefits sign
67、ificantly more frequently than laggards,and the differences between best-in-class and laggards are greatest when it comes to achieving competitive advantage(56 percent vs.4 percent),revenue growth through the use of data(60 percent vs.19 percent)and improved decision-making(70 percent vs.40 percent)
68、.Europe,at more than 50 percent,expects significantly greater benefits from reducing data silos and a distributed understanding of data than respondents from the United States and APAC(less than 40 percent).Overall,actual benefit achievement is noticeably higher in the United States and APAC.In thes
69、e regions,there is also a higher adoption rate of new concepts and technologies(e.g.,more widespread use of data products).DATA CULTURE ACHIEVEMENTS AND PRIORITIES02Relevant andbeing implementedRelevant andplannedRelevant butnot plannedNo/LowrelevanceData strategy202234%39%22%6%202131%34%31%4Data go
70、vernance202233%36%24%7%202131%35%27%6%Data access202232%39%26%4202133%36%25%7%Data literacy202222%38%30%10%202120%31%39%11%Data communication202220%41%30%9%202121%36%36%6%Data leadership202220%35%37%8%202116%34%40%10%Please indicate the current status and relevance of the following data culture init
71、iatives in your company.(n22=352,n21=400)INITIATIVES TO IMPROVE DATA CULTURE PRACTICAL ACTIONS COMPANIES CAN TAKEBARC Data Culture Survey 23-How to liberalize data access to empower data users BARC 202215Compared to 2021,the importance of data culture initiatives has increased in each of the six asp
72、ects of the BARC Data Culture Framework.Data strategy takes the lead as the most relevant and also the most implemented initiative impacting data culture,with 94 percent of respondents considering it to be relevant and 73 percent having already launched an initiative or planning to do so.This makes
73、sense as the lack of a strategy is often cited as a barrier to data-driven work.It provides a target picture,the framework and links data activities with corporate goals.Closely linked to data strategy is data governance as an instrument for establishing a secure,reliable and consistent data foundat
74、ion that meets corporate requirements and regulations.Data governance is already being driven forward by one third of respondents and a further 36 percent have initiatives planned.Data leadership is also considered relevant in 92 percent of companies,but only 20 percent have anything in place and 35
75、 percent have implementations planned.More would be expected here in light of the fact that a lack of management support and resources are among the biggest impediments to data initiatives.DATA CULTURE ACHIEVEMENTS AND PRIORITIES02Relevant andbeing implementedRelevant andplannedRelevant butnot plann
76、edNo/LowrelevanceData strategy34%39%22%6%Data governance33%36%24%7%Data access32%39%26%4Data literacy22%38%30%10%Data communication20%41%30%9%Data leadership20%35%37%8%Please indicate the current status and relevance of the following data culture initiatives in your company.(n22=352)INITIATIVES TO I
77、MPROVE DATA CULTURE PRACTICAL ACTIONS COMPANIES CAN TAKEBARC Data Culture Survey 23-How to liberalize data access to empower data users BARC 202216This is recognized by companies that follow the right to know principle.Here,the level of implementation and planning of data leadership initiatives is 7
78、 percentage points higher.Also,it is 6 percentage points higher for data communication and 5 percentage points higher for data literacy.We therefore see a connection at least a slight one between strong leadership,communication and literacy and data democratization through the right to know principl
79、e.1 for data culture),then strategic considerations will not be converted into actual practical benefits.Data access initiatives have the highest relevance overall at 96 percent,having already been implemented by 32 percent.Data literacy and data communication trail way behind,each with around 40 pe
80、rcent of participants not planning any initiatives in these areas.However,in our view,they should not be delayed too long because a lack of knowledge is one of the top challenges in the implementation of data projects and can even prevent benefits being generated from data and/or technology.Data lea
81、dership is based on conviction and strategic thinking.But it is also a question of the generation of leaders.In our recent study,Strategies for Driving Adoption and Usage with BI and Analytics,a new generation of data-driven leaders was cited as the strongest driver of BI and analytics tool adoption
82、 and usage.The CxO perspective is particularly interesting:81 percent of the CxOs surveyed claim that data literacy initiatives have already been implemented or are planned,and the corresponding figure for data communication is 78 percent.Overall,the CxOs view of initiatives that have already been i
83、mplemented is significantly more positive than in general.Employees in operational functions and data and analytics leaders and experts report less widespread activity,so there is definitely work to be done here to convince top management that competence and communication are still nowhere near as f
84、ar advanced as they think.This is particularly relevant for data literacy,as this is seen as the second most frequent obstacle to the proliferation of a data culture(see page 17).If management does not provide sufficient resources for this and other initiatives(obstacle no.DATA CULTURE ACHIEVEMENTS
85、AND PRIORITIES02Lack of resources,lack of knowledge,organization and communication are the top barriers to implementing a data culture.They have consistently been the biggest challenges for data and analytics leaders for a long time,and not only when it comes to data culture.As shown on page 13,many
86、 companies have recognized the value of data.However,they often fail to create the necessary conditions for the actual use of data.Of particular concern is that many are prioritizing initiatives to improve data culture that do not directly address the biggest problems40%Resource allocation is genera
87、lly insufficientto strengthen data&analytics39%Lack of knowledge among employeesabout data&analytics(data literacy)36%Lack of roles&responsibilities for data33%Lack of internal communication aboutdata&analyticsWhat are the main obstacles to the implementation or initial establishment of a data cultu
88、re in your company?Top 4 challenges(n=371)RESOURCES,SKILLS AND ORGANIZATION:THE OBSTACLES TO OVERCOMEBARC Data Culture Survey 23-How to liberalize data access to empower data users BARC 202217The lack of data literacy is particularly striking here.It is the second most frequent challenge but tacklin
89、g it is not a high priority(see page 16).Unlike data strategy,data governance and data access,data literacy is one of the initiatives where a lot is planned but relatively little is done.This also includes data leadership and communication.From the beginning,the goal should be to bring everyone alon
90、g,to empower them,and to set an example of data-driven action.This requires creating the necessary space,starting with the development of a data strategy.The objective should be clear goals,broad competence training and the development of a data and analytics ecosystem that efficiently contributes t
91、o the companys goals.40%of participants are not planning any initiatives in data literacy.DATA CULTURE ACHIEVEMENTS AND PRIORITIES02Resource allocation is generally insufficientto strengthen data&analytics43%36%Data governance initiatives are driven bycompliance requirements and regulations40%10%Lac
92、k of knowledge among employeesabout data&analytics(data literacy)40%41%Our data strategy is purely a technologystrategy26%36%Best-in-classLaggardsWhat are the main obstacles to the implementation or initial establishment of a data culture in your company?Top 4 challenges of best-in-class vs.laggards
93、(n=115)RESOURCES,SKILLS AND ORGANIZATION:THE OBSTACLES TO OVERCOMEBARC Data Culture Survey 23-How to liberalize data access to empower data users BARC 202218Data governance has two sides.Firstly,data must be protected and secured and a regulatory framework created.However,it is also about enabling b
94、usiness users to use data flexibly by providing a reliable,trustworthy,understandable foundation of data in which data and analytics artifacts can be found,understood,obtained and used.Best-in-class companies are far more alive than laggards to the challenge that their data strategy is aligned with
95、technology.After all,organizational challenges have to be tackled,as already shown above.In fact,the prevailing opinion is that the purchase of a technology solves the data problems.This is not the case.For example,a data catalog without any organization(roles,responsibilities,processes)and active u
96、se by data consumers and producers will never be able to deliver the benefits it is designed for.This point is recognized by 31 percent of the companies that practise right to know,but only by 23 percent of the companies that follow the need to know principle.Best-in-class companies see it as far mo
97、re challenging that data governance initiatives are driven exclusively by compliance requirements.DATA CULTURE ACHIEVEMENTS AND PRIORITIES0237%63%Right to knowNeed to knowWhich data access principle is prevalent in your organization?(n=365)THE RIGHT TO KNOW PRINCIPLE IS MORE BENEFICIAL THAN NEED TO
98、KNOWBARC Data Culture Survey 23-How to liberalize data access to empower data users BARC 202219Two basic principles can be observed in data access.We refer to the more restrictive approach as need to know.Here,users must ask for authorization to access data.Data access is thus the exception to the r
99、ule of locking everything up.In contrast,data democracy propagates free data access for all employees,limited only by intentionally restricted data(e.g.,secret,personal or similar data).We refer to this data access model as right to know.DATA ACCESS03Right to knowNeed to know59%41%Which approach do
100、you consider most beneficial for your company?(n=365)Need to know has always been the predominant principle for data access,with 63 percent of participants confirming that this approach prevails in their organization.However,significantly more than half of our sample consider right to know to be the
101、 most beneficial model.We also support this point of view.The flexibility required today coupled with a stronger data orientation in general are leading to the call for a shift towards right to know.However,this shift goes hand in hand with a change to the organizational mindset and is therefore no
102、small matter.Currently,only 37 percent of respondents live by the right to know principle.For many respondents,however,there is still a significant gap between their wishes and reality.Right to know is practiced mainly by small companies.This is not surprising due to their mostly simple and flat org
103、anizational structures and straightforward communication channels.As the size of a company increases,so does its organizational complexity and the demands on data governance.The need to know principle tends to prevail here.Regionally,we see a higher level of adoption of right to know in North Americ
104、a(46 percent of respondents)and APAC(43 percent)compared to Europe(34 percent).It should be emphasized that the majority of best-in-class companies(53 percent)rely on right to know and see the benefits of greater freedom in the use of data.By contrast,only 24 percent of laggards concur.This is also
105、confirmed in our analysis of the benefits achieved(see page 20).Right to KnowNeed to KnowImproved decision-making50%48%Continuous process improvementbased on data39%35%Revenue growth through the use of data36%26%Cost reduction through the use of data36%38%Competitive advantage30%16%Preservation of m
106、arket position29%17%Shared understanding of data28%24%Greater acceptance of decisions26%26%Development of new business models/areas based on data23%20%Reduction in data silos20%24%Reduced risk or complianceconcerns around the use of data10%15%Which positive effects of a data culture have you already
107、 achieved?Benefits achieved by data access principle(n=358)THE RIGHT TO KNOW PRINCIPLE IS MORE BENEFICIAL THAN NEED TO KNOWBARC Data Culture Survey 23-How to liberalize data access to empower data users BARC 202220DATA ACCESS03Companies that predominantly practise the right to know principle believe
108、 that they generate greater benefits from data than companies adopting need to know.This applies to almost all the benefit categories surveyed.They report a much higher rate of achievement when it comes to gaining competitive advantage,preserving market position and growing revenue.Companies adoptin
109、g the need to know principle only outperform their counterparts in three areas:reduction in data silos,reduced risk and compliance concerns and cost reduction through the use of data.53%of best-in-class companies rely on the right to know principle.But only 24%of laggards concur.48%Making data sourc
110、es known andconnectable for data&analytics purposes45%Documenting and linking expert knowledgeto get data transparency and context44%Simplifying data access and preparationfor business users44%Automating collection,linking and/orenrichment of various types of metadataFostering cross-functional knowl
111、edge and datasharing between data producers and consumersInvesting in data quality initiatives59%55%What do you see as the biggest challenges in data access?Top 6(n=369)LACK OF DATA KNOWLEDGE IS THE BIGGEST CHALLENGE IN DATA ACCESSBARC Data Culture Survey 23-How to liberalize data access to empower
112、data users BARC 202221DATA ACCESS03Nevertheless,data knowledge thrives on knowledge sharing through communication and collaboration.With reference to the importance of data culture initiatives,it should be noted that those related to data communication,data literacy and data leadership(see page 15)t
113、ake a back seat compared to some other topics.Nevertheless,they are essential in order to implement data access efficiently and correctly.and understood must be made for each software tool and provider in use.AI/ML algorithms can also play a supporting role in integration and description.Self-learni
114、ng is a laborious and tedious process to get up and running(training time,explainability)and is therefore rarely used.Instead,many rely on proven automation techniques such as partial automation of process control through scheduling and monitoring.Data access is a cornerstone of data-driven companie
115、s.It is essential to be able to use data from complex and distributed data landscapes and generate value from it.The biggest challenges to achieving this lie in empowering business users.Often,they dont even know what data exists(59 percent).Alternatively,they may not understand the data and its con
116、text(55 percent),or technical access to the data and options for data processing are too complicated(48 percent).Transparency of data is essential here,and data knowledge is crucial too.Information about data is available in the form of metadata.Collecting,integrating,linking,enriching and evaluatin
117、g this data is complex and time-consuming.Automation must provide support here to create a comprehensible,trustworthy database.Automation is seen by 45 percent of respondents as a major challenge,especially for the integration and preparation of metadata.This is partly due to the fact that there is
118、no established standard for describing and exchanging metadata,so a reassessment of how metadata can be integrated 24%21%10%9%8%2%74%Data warehouse72%Business intelligence69%Excel51%Self-service analytics38%Data lake38%Data integration32%Code(e.g.,Python)32%Data preparation by business users29%AI/ad
119、vanced analyticsData intelligence platforms23%Data catalogsData access engines/data virtualizationData lakehouseData meshData fabricOtherWhich technologies/concepts are used in your organization for data access?(n=368)DATA ACCESS IS MAINLY IMPLEMENTED IN BI/DWH TOOLS AND EXCELBARC Data Culture Surve
120、y 23-How to liberalize data access to empower data users BARC 202222Data access requires technology support.About two thirds of the companies surveyed use traditional data warehousing and BI technologies.69 percent use Excel and 51 percent use self-service analytics tools.If the aim is to solve chal
121、lenges with existing tools for the time being,these figures are not surprising,but there are better options available.It is worth mentioning that 32 percent use code to manage data access,which corresponds to our general market perception that languages such as Python are gaining a stronger foothold
122、 in the enterprise data landscape.This is happening primarily via exploratory use cases and concerns data engineering,data pipelining and the design of models.In turn,the need for transparency to be able to find data,features and algorithms in an uncomplicated manner and to integrate them securely i
123、s also increasing,thus providing the breeding ground for software providers to offer new solutions that help to manage and monitor code in order to have a controlled and monitored process.DATA ACCESS0358%19%Data intelligence platforms56%22%Data lake51%25%Data integration44%14%Data catalogs42%13%Data
124、 access engines/data virtualization40%4%Data fabric6%35%Data meshBest-in-classLaggardsWhich technologies/concepts are used in your organization for data access?Largest deviations in tool usage between best-in-class and laggards(n=115)BEST-IN-CLASS COMPANIES RELY ON MODERN TECHNOLOGIES AND CONCEPTSBA
125、RC Data Culture Survey 23-How to liberalize data access to empower data users BARC 202223DATA ACCESS03Best-in-class companies are 3x more likely to use data intelligence platforms than laggardsThere is a great deal of catching up to do in terms of technologies that help to increase transparency arou
126、nd data.Fewer than 25 percent of the companies surveyed use data intelligence platforms or data catalogs.However,it is precisely these types of tools that help to compile knowledge about data outside of the BI context,across systems,and make it analyzable,thus addressing the main challenges to data
127、access head on.The importance of data knowledge has been recognized above all by best-in-class companies.58 percent use data intelligence platforms,compared with only 19 percent of laggards.Data virtualization and data cataloging technologies,the data mesh organizational concept and the data fabric
128、architectural principle are also used much more frequently by best-in-class companies.Technology is only half the solution to data access problems.Many challenges have their origin in a lack of strategy or organization(see page 17).The added value of technologies for increasing data access is limite
129、d.Only just over half succeed in improving data access through BI and data warehouse technologies,and only one in three companies manage it with self-service analytics tools.This is surprising,since one of the main promises of self-service tools is to make access to data significantly easier for bus
130、iness users.53%Data warehouse54%Business intelligence34%Self-service analyticsWhich technology has helped to improve data access in your organization?Top 3(n=352)THERE IS A LACK OF COMPETENCE IN THE USE OF NEW TECHNOLOGIESBARC Data Culture Survey 23-How to liberalize data access to empower data user
131、s BARC 20222403Data access engines/data virtualization21%10%Data mesh14%3%Data fabric15%2%Data catalogs18%11%Data intelligence platforms24%10%Data preparation by business users20%12%Right to knowNeed to knowWhich technology has helped to improve data access in your organization?By access principle(n
132、=343)Data virtualization tools,data intelligence platforms and data catalogs play a special role in the technical support of data access.These tools can clearly add value,but there is probably a lack of knowledge and training to be able to use them extensively.39 percent of respondents complain abou
133、t a lack of skills as the second most common obstacle to data access.Best-in-class companies and organizations that have adopted the right to know principle report a significantly lower lack of data literacy than other companies in general.At the same time,we see a significantly higher level of bene
134、fits achieved through the use of new technologies,concepts and principles.DATA ACCESSDEMOGRAPHICSBARC Data Culture Survey 23-How to liberalize data access to empower data users BARC 202225BROAD SPECTRUM OF INDUSTRIES AND COMPANY SIZESThis study was based on the findings of a world-wide online survey
135、 conducted in July and August 2022.The survey was promoted within the BARC panel,as well as via websites and newsletter distribution lists.A total of 384 people took part,representing a variety of different roles,industries and company sizes.24%Manufacturing18%Services18%Public sector15%IT12%Banking
136、 and finance7%Retail/Wholesale/Trade7%OtherWhich of the following best describes your organizations industry sector?(n=374)INDUSTRY SECTOR16%Manager for data/BI/analytics from IT department11%Member of a cross-departmental data/BI/analytics team10%Head of department10%IT employee9%Head of a cross-de
137、partmental data/BI/analytics team9%CIO/Head of IT9%External consultant or vendor8%Manager for departmental data/BI/analytics5%CEO4%Line of business employee3%Other3%In-house consultant2%CDOWhat is your role in the company?(n=374)POSITION IN THE COMPANY69%Europe22%North America6%Asia and Pacific2%Sou
138、th America1%AfricaIn which region are you located?(n=374)31%38%31%Less than 500500-4,9995,000 or moreHow many employees does your company have?(n=374)REGIONCOMPANY SIZEWe divided the sample into best-in-class andlaggards in order to identify differences interms of the current data culture within org
139、anizations,the hurdles companies are facing and the initiatives that are underway.This division was made based on the ques-tion“How would you rate your companys data culture compared to your main compet-itors?”.Companies that have a much better data culture than their competitors are referred to as
140、best-in-class (12 percent)while those who have a slightly or much worse data culture than their competitors are classed as laggards(22 percent).BEST-IN-CLASS12%32%34%17%5%Much betterSlightly betterSimilarSlightly worseMuch worseHow would you rate your companys data culture compared to your main comp
141、etitors?(n=345)BARC Data Culture Survey 23-BARC 202226BARC Data Culture Survey 23-How to liberalize data access to empower data users BARC 202227BARC MAKING DIGITAL LEADERSOur independent research brings market developments into clear focus,puts software and vendors through their paces and gives use
142、rs a place to express their opinions.EventsDecision-makers and IT industry leaders come together at BARC events.BARC seminars in small groups,online webinars and conferences with more than 1,000 participants annually all offer inspiration and interactivity.Through exchange with peers and an overview
143、 of current trends and market developments,you will receive new impetus to drive your business forward.ConsultingIn confidential expert workshops,coaching and in-house consultations,we transform the needs of your company into future-proof decisions.We provide you with successful,holistic concepts th
144、at enable you to use the right information correctly.Our project support covers all stages of the successful use of software.BARC BUSINESS APPLICATION RESEARCH CENTERBARC(Business Application Research Center)is one of Europes leading analyst firms for business software,focusing on the areas of data,
145、business intelligence(BI)and analytics,enterprise content management(ECM),customer relationship management(CRM)and enterprise resource planning(ERP).Our passion is to help organizations become digital companies of tomorrow.We do this by using technology to rethink the world,trusting data-based decis
146、ions and optimizing and digitalizing processes.Its about finding the right tools and using them in a way that gives your company the best possible advantage.This unique blend of knowledge,exchange of information and independence distinguishes our services in the areas of research,events and consulti
147、ng.Research Our BARC studies are based on internal market research,software tests and analyst comments,giving you the security to make the right decisions.GermanyBARC GmbHBerliner Platz 7D-97080 Wrzburg+49 931 880 AustriaBARC GmbHHirschstettner Strae 19/I/IS314A-1220 Wien+43 660 6366870SwitzerlandBA
148、RC Schweiz GmbHTfernstrae 22aCH-5405 Baden-Dttwil+41 56 470 94 34Rest of the World+44 1536 772 451www.barc-SPONSOR PROFILE:DENODOBARC Data Culture Survey 23-How to liberalize data access to empower data users BARC 202228than 400%ROI and millions of dollars in benefits,Denodos customers across large
149、enterprises and mid-market companies in 30+industries have received payback in less than 6 months.For more information,visit ABOUT DENODODenodo is a leader in data management.The award-winning Denodo Platform is the leading data integration,management,and delivery platform using a logical approach t
150、o enable self-service BI,data science,hybrid/multi-cloud data integration,and enterprise data services.Realizing more Denodo Technologies GmbHOberanger 28Munich,80331 Germany+49 89 599 904 UK+44 20 3196 4710Spain+34 912 77 58 55France+33 1 42 68 51 27Italy+39 2 72546395SPONSOR PROFILE:SNOWFLAKEBARC
151、Data Culture Survey 23-How to liberalize data access to empower data users BARC 202229ABOUT SNOWFLAKESnowflake enables every organization to mobilize their data with Snowflakes Data Cloud.Customers use the Data Cloud to unite siloed data,discover and securely share data,and execute diverse analytic
152、workloads.Wherever data or users live,Snowflake delivers a single data experience that spans multiple clouds and geographies.Thousands of customers across many industries,including 506 of the 2021 Forbes Global 2000(G2K)as of April 30,2022,use Snowflake Data Cloud to power their businesses.Learn mor
153、e at Snowflake Computing GmbHLeipziger Platz 1810117 BerlinGermanyhttps:/www.snowflake.de/SPONSOR PROFILE:TABLEAUBARC Data Culture Survey 23-How to liberalize data access to empower data users BARC 202230Intuitive data analysisAdvanced visual analysis options and natural language processing help you
154、 answer any question about data.Drag and drop,ask,see,learn-it all works effortlessly with the gold standard for data analysis.Industry-leading governanceAccess to meaningful data is essential to the success of your business-but security must be maintained.With unmatched security and powerful govern
155、ance models,you can ensure that the right data is available to the right people.Enterprise analytics to get your business off to a flying startTableau,the most comprehensive and detailed analytics platform,is flexible to expand and adapt to changes in your data strategy.Einstein,our industry-leading
156、 AI,is built right in.This allows you to effortlessly embed data into the culture of your organisation,gain insights and drive better results.ABOUT TABLEAU-A MEANINGFUL MISSIONWe help people see and understand their data.10 words that guide everything we do.And that has never been more important tha
157、n it is today.By 2020,the world will have generated 50 times as much data as it did in 2011,and the number of information sources continues to increase.There are huge opportunities for human progress in this data.But to exploit these opportunities,we need to harness the power of data directly.Tablea
158、u develops software that does just that.Our products give users entirely new ways to use data to solve problems.We make data analysis fast,easy,beautiful and useful.And our software is for everyone.We are Tableau.Using data to make a difference in the worldEvery day there are millions of opportuniti
159、es to improve peoples lives by making better use of data.Medical research,schooling,operational efficiency,patient care,public spending-the possibilities are endlessTableauContactChristian SchuetzHead of Field Marketing Central Europe for Tableau SalesforceUlmenstrasse 3060325 FrankfurtMobile:+49 17
160、3 SPONSOR PROFILE:ZEENEABARC Data Culture Survey 23-How to liberalize data access to empower data users BARC 202231Zeeneas SOC 2 Type II-certified solutions include a Data Catalog,a Business Glossary,Data Lineage,Data Quality,Data Governance,Data Stewardship,Data Privacy,Regulatory Compliance,Cloud
161、Transformation.For more information,visit .ABOUT ZEENEAZeenea is the Data Discovery Platform built for everyone to find,trust,and unlock the value of enterprise data.The cloud platform features two modern user experiences,accessible from anywhere:Zeenea Studio is the application designed for data ex
162、perts to save time managing,documenting,and governing data with maximum automation;while Zeenea Explorer enables business users to gain productivity by finding the data assets they need across all enterprise information.Zeeneas built-in scanners and APIs enable organizations to automatically collect
163、,consolidate,and link metadata from their data ecosystem.With a powerful knowledge graph and smart search engine,data teams can activate all enterprise metadata through a single source of truth.Zeenea helps dozens of organizations worldwide democratize data,including BPCE Group,Club Med,Generali,Ker
164、ing,Renault,Socit Gnrale,Solactive and Stellantis.ZeeneaContactFrieder BreidenbachHead of DACH AUTHORSDr.Carsten Bange is the founder and CEO of the Business Application Research Center(BARC).He is considered one of the leading experts on the successful use of information technology for business int
165、elligence and data management in the transformation to becoming a data-driven company.As a long-standing and neutral market observer,he is a coach and strategic consultant to companies of various industries and sizes,a frequent speaker at conferences and seminars,and the author of numerous publicati
166、ons and market studies.BARC Data Culture Survey 23-How to liberalize data access to empower data users BARC 202232DR.CARSTEN BANGECEO AND SENIOR ANALYST DATA&ANALYTICSTIMM GROSSERSENIOR ANALYST DATA&ANALYTICSAs a senior analyst,Timm Grosser has been advising domestic and international companies of v
167、arious sizes and industries in the areas of BI,data management and analytics for more than 10 years.During his time as a consultant,he has designed numerous solutions in BI/big data strategy,organization,architecture and tool selection with customers and in the BARC test lab.He is a frequent speaker
168、 at conferences and seminars as well as the author of numerous industry articles and market studies.GermanyBARC GmbHBerliner Platz 7D-97080 Wrzburg+49 931 880 6510AustriaBARC GmbHHirschstettner Strae 19/I/IS314A-1220 Wien+43 660 6366870SwitzerlandBARC Schweiz GmbHTfernstrae 22aCH-5405 Baden-Dttwil+41 56 470 94 34Rest of the World www.barc-+44 1536 772 451