1、Global insights from over 10,000 analytics,IT,and business leaders on data management and decision-making in the age of artificial intelligence.State of Data and AnalyticsSALESFORCE2STATE OF DATA AND ANALYTICSSALESFORCEExecutive LetterAI isnt new,but its fundamental role in the future of business is

2、.AI,especially generative AI,is one of the most transformative advancements well see in our lifetime,but its not enough to invest in just the technical capabilities of AI.Organizations must prioritize a comprehensive and reliable data foundation to help guide decision-making and strategy development

3、.As companies rapidly embrace AI and realize its benefits,trust must be their top priority.And to instill trust in AI,they must first instill trust in the data that powers it.Think about data as a well-balanced diet for AI youre healthiest when you avoid junk food and consume all the proper nutrient

4、s.Simply put,organizations can only harness the full power of AI when it is fueled by accurate,comprehensive data.Our State of Data and Analytics report highlights this vital connection and the urgent need for trusted data now more than ever.However,business leaders are nearly unanimous in their bel

5、ief that they arent unlocking their datas full potential.I hope you find this report a valuable reference point as you navigate how to establish a strong data foundation,manage increasingly complex volumes of data,and capitalize on AIs ever-evolving capabilities.Wendy Batchelder SVP,Chief Data Offic

6、erWendy Batchelder SVP,Chief Data OfficerSALESFORCE3STATE OF DATA AND ANALYTICSContentsWhat Youll Find in This Report.04 Executive Summary .05Introduction:AI Puts Trusted Data in the Spotlight.06Chapter 1:A Strong Data Foundation Fuels AI.09Chapter 2:Datas Full Potential Remains Elusive.14Chapter 3:

7、The Road to Data and AI Success Is Winding.19Survey Demographics .25SALESFORCESALESFORCE4STATE OF DATA AND ANALYTICSSalesforce Research provides data-driven insights to help businesses transform how they drive customer success.Browse all reports at Youll Find in This Report5,540 analytics and IT lea

8、derssurveyed worldwideFor the State of Data and Analytics report,Salesforce surveyed 5,540 analytics and IT decision makers and 5,540 line-of-business leaders worldwide to discover:Strategies used to navigate rapid advancements in artificial intelligence(AI)Challenges organizations face in realizing

9、 the full potential of their data Tactics analytics and IT leaders employ to manage increasingly extensive and complex dataUnless cited otherwise,data in this report are from two double-anonymous surveys conducted from June 16 through July 31,2023.The first survey generated 5,540 responses from anal

10、ytics and IT decision makers across North America,Latin America,Asia-Pacific,and Europe.The second survey generated 5,540 responses from line-of-business leaders from the same regions.See page 25 for further survey demographics.Due to rounding,not all percentage totals in this report equal 100%.Comp

11、arison calculations are made from total(not rounded)numbers.SALESFORCE5,540 line-of-business leaderssurveyed worldwideSALESFORCE5STATE OF DATA AND ANALYTICSExecutive SummaryBehind transformative breakthroughs powered by generative AI,advanced analytics,and real-time personalization,is the quiet reli

12、ance on trusted data.Nearly all analytics and IT decision makers surveyed(92%)say trustworthy data is needed more than than ever before.How can business,IT,and analytics leaders harness data to fuel these opportunities and overcome roadblocks that are derailing data-driven strategies?This report unc

13、overs the obstacles leaders are facing and the tactics theyre focusing on to maximize their datas volume.A Strong Data Foundation Fuels AIAdvances in AI are fast-moving,putting pressure on data management teams to supply algorithms with high-quality data.Eighty-seven percent of analytics and IT lead

14、ers say advances in AI make data management a high priority.01Datas Full Potential Remains ElusiveAnalytics,IT,and business leaders all cite security threats as the top barrier to successful data management.However,misalignment between data strategy and business goals complicates efforts.Meanwhile,t

15、he amount of data that companies generate is expected to increase 22%on average over the next 12 months.02The Road to Data and AI Success Is WindingTo secure and scale data and analytics capabilities,analytics and IT leaders use a combination of strategies,like reimagining data governance,strengthen

16、ing internal data culture,and deploying cloud technologies.Simplifying IT management is the biggest driver for moving apps and analytics to the cloud.03SALESFORCESALESFORCE6STATE OF DATA ANALYTICSIntroductionAI Puts Trusted Data in the SpotlightSALESFORCESTATE OF DATA AND ANALYTICS 6SALESFORCE7STATE

17、 OF DATA AND ANALYTICSThe need for trusted data is not new,given longstanding calls for real-time personalization and increased business efficiencies.Generative AI is intensifying these demands,and analytics and IT leaders are racing to fortify their data foundations.Eighty-six percent of analytics

18、and IT leaders agree that AIs outputs are only as good as its data inputs.The good news?Technical leaders are upbeat about where they stand.When considering a variety of factors like data capabilities,processes,sponsorship,investment,and vision,more than one-third of analytics and IT leaders classif

19、y their data maturity as best-in-class.However,only 6%of these leaders describe their data maturity as below industry standard or nonexistent,representing at best the difficulty of benchmarking maturity against peers,or at worst,overconfidence in data strategy and capabilities.AI Stokes Demand for T

20、rusted DataAnalytics and IT Leaders Examine Data Maturity Amid Rising Need for Trusted Dataof analytics and IT leaders agree the need for trustworthy data is higher than ever6%49%43%92%Strongly agreeAgreeNeutralDisagreeStrongly DisagreeAnalytics and IT Leaders Who Assess Their Companys Data Maturity

21、 as Follows Considering capabilities,processes,sponsorship,structure,investment,and vision for dataNonexistentBelow industry standardOn par with industry standardBest-in-class57%37%5%1%1%1%SALESFORCE8STATE OF DATA AND ANALYTICSLeaders Stress Need for Improved Data Trust and UtilizationDespite genera

22、lly positive self-assessments by IT and analytics leaders,over nine in 10 business leaders(94%)believe they should be getting even more value from their data signalling room for improvement.To meet this need,analytics and IT leaders are focused on the fundamentals:Data quality,stronger security,and

23、AI-readiness.The problem?While leaders goals are straightforward,the path to achieving them is anything but.Leaders Focus On Data Trust and Utilization AIs potential is immense.You dont have to sell people on the potential.What you have to sell people on is:How do we go about it?What is a short-term

24、 strategy?What is a long-term strategy?”DEEP SRIVASTAVMEMBER OF TABLEAUS DATA LEADERSHIP COLLABORATIVE AND HEAD OF AI AND DIGITAL TRANSFORMATION,FRANKLIN TEMPLETONof business leaders feel their organization should be getting more value out of its data4%46%48%94%Strongly agreeAgreeNeutralDisagreeStro

25、ngly disagree1Improve data quality2Strengthen security/compliance3Build AI capabilities4Improve company-wide data literacy5Modernize tools and technologiesAnalytics and IT Leaders Top Data Priorities1%1%SALESFORCE9STATE OF DATA ANALYTICSA Strong Data Foundation Fuels AI01SALESFORCESTATE OF DATA AND

26、ANALYTICS 9SALESFORCE10STATE OF DATA AND ANALYTICS01Business Leaders Eager To Benefit from Generative AIGenerative AI is a significant leap beyond more established iterations of related technologies like predictive AI,and business leaders are embracing its promise.Over nine in 10(91%)see generative

27、AI as providing a major advantage given appealing use-cases ranging from content creation to software development.Despite its novelty,generative AI is advancing quickly.Over three-quarters of business leaders already fear they are missing out on generative AIs benefits.Marketing leaders are especial

28、ly nervous they arent fully harnessing generative AI in workflows,with 88%concerned their companies are falling behind.Business Leaders Are Concerned About Capturing Generative AI ValueTotalMarketingSalesService77%88%78%73%AgreeDisagreeNot Sure20%12%19%25%Percent of Business Leaders Worried Their Co

29、mpany Is Missing Out on Generative AIs Benefits 3%3%2%1%of business leaders say generative AI would benefit their organization91%5%44%47%3%1%Strongly agreeAgreeNot SureDisagreeStrongly disagreeSource for all data on this page:“Generative AI Snapshot Series,”Salesforce,March 2023.accurate,complete,an

30、d unified data55%enhanced security measures to avert new threats to the business54%ethical use guidelines 30%dont have a unified data strategy59%say generative AI wont integrate into current tech stack60%are concerned about generative AI bias73%SALESFORCE11STATE OF DATA AND ANALYTICSSPOTLIGHT:Genera

31、tive AI Spurs Data Ethics and Equity ConcernsTaking advantage of generative AI requires complete,unified,and accurate data,according to over half of IT leaders.Yet roadblocks remain.A recent survey found most IT leaders dont have a unified data strategy and cant integrate generative AI into their cu

32、rrent tech stack.Technical requirements aside,generative AI also surfaces serious ethical considerations.83%of IT leaders think companies must work together to ensure generative AI is used ethically.Nearly three-quarters of IT leaders are wary of biased or inaccurate results,yet fewer than a third c

33、onsider ethical use guidelines critical.IT Leaders Requirements for Successful Generative AI UseSuccessful AI Use Requires Proper Data Foundation and EthicsSALESFORCEIT Leaders Concerns with Generative AISALESFORCE12STATE OF DATA AND ANALYTICS01Analytics and IT Leaders Top Realized AI Benefits Ranke

34、d by“significant”benefitGenerative AI may be getting all the buzz,but more established applications of AI,like predictive analytics and chatbots,have benefitted organizations for some time.Technical leaders using AI report noticeably faster decision-making and operations.Speed isnt the only perk:ana

35、lytics and IT leaders say they have more time to tackle strategic challenges,rather than getting bogged down in mundane tasks.Customers,too,stand to benefit.Technical leaders describe significant improvements to customer satisfaction thanks to AI.Given the dependence of AIs outputs on the quality of

36、 underlying data,its no surprise that nearly nine in 10 analytics and IT leaders say new developments in AI make data management a high priority.AI Shines Light on Data Management1 Faster business decision-making2 Operational efficiencies3 Free up time for valuable work4 Automated workflows5 Improve

37、d customer satisfactionAnalytics and IT Leaders Top Data PrioritiesBase:analytics and IT leaders who use artificial intelligenceAIs outputs are only as good as its data inputsStrongly AgreeAgreeNeutralAdvances in AI make data management a high priority39%37%47%50%11%11%DisagreeStrongly DisagreeExten

38、t to Which Analytics and IT Leaders Agree with the Following2%1%2%SALESFORCE13STATE OF DATA AND ANALYTICSData maturity is a building block of successful AI adoption,with high-maturity organizations citing superior infrastructure,strategy,and alignment compared to low-data-maturity organizations.*Dif

39、ferences between high-and low-maturity companies are stark when it comes to data quality.High-maturity respondents are 2x more likely than low-maturity respondents to have the high-quality data needed to use AI effectively.Data Maturity Is a Sign of AI Preparedness01High-Maturity Organizations Feel

40、Better Prepared to Harness AIAnalytics and IT Leaders Who Assess The Following as Excellent at Their Company*Low-data-maturity organizations are defined as respondents who report nonexistent or below industry standard data maturity.High-data-maturity organizations are defined as respondents with sel

41、f-reported best-in-class data maturity.LOW DATA MATURITYMODERATE DATA MATURITYHIGH DATA MATURITYData quality30%39%59%Technology infrastructure36%40%57%Artificial intelligence strategy32%36%56%Technical talent/skills33%36%56%Business stakeholders alignment34%36%55%Security/compliance capabilities32%3

42、9%55%SALESFORCE14STATE OF DATA ANALYTICSDatas Full Potential Remains Elusive02SALESFORCESTATE OF DATA AND ANALYTICS 14Completely alignedPartially alignedNot aligned63%58%36%40%IT/analytics employee productivityData qualityData utilizationCloud computing costsOperational efficiencyData management lev

43、els and costsData services deliveryValue of data monetizationROI of data initativesSpeed to insightProgress on technical roadmapSALESFORCE15STATE OF DATA AND ANALYTICSGetting a handle on organizational data may not pay off until business and technical stakeholders agree on core objectives.Many leade

44、rs admit they need tighter alignment:Forty-one percent of line-of-business leaders say their data strategy has only partial or no alignment with business objectives.Similarly,37%of analytics and IT leaders see room for improvement.Part of the disconnect may stem from a lack of shared KPIs.Over six i

45、n 10 analytics and IT leaders are in the dark about line-of-business teams data utilization or speed to insight,for example.Furthermore,fewer than one-third of analytics and IT leaders track the value of data monetization.This raises the issue of whether the majority of teams can effectively quantif

46、y the ROI of data initiatives for business stakeholders in the first place.Data Strategies Are Disconnected from Business Goals02Leaders Lack of Alignment Highlights Need for Data Strategy and Performance MeasuresExtent Data Strategy Aligns with Business Objectives1%1%47%44%39%37%37%36%34%32%32%28%2

47、8%Analytics and IT Leaders Who Track the Following MetricsAnalytics and IT LeadersLine-of-Business Leaders02No visibilityLittle visibilityPartial visibilityFull visibility1%40%4%56%SALESFORCE16STATE OF DATA AND ANALYTICSWith 94%of business leaders believing they should get more value from their data

48、,whats stopping them?78%of analytics and IT leaders say their organizations struggle to drive business priorities with data.The top culprit for both technical and line-of-business leaders is the same:security threats.As opportunities to integrate new data sources and leverage new technologies prolif

49、erate,so do vulnerabilities.Part of these vulnerabilities may stem from a lack of data visibility,defined as the ability to see,monitor,and manage data collection and use across disparate sources.Nearly half of analytics and IT leaders say they have a partial to no view into how data is used within

50、their companies.Security Is Top Roadblock to Achieving Data GoalsSecurity Threats Are Top-of-Mind for All LeadersAnalytics and IT Leaders Who Assess Their Visibility Into Data Collection and Usage as Follows1Security threats2Volume of data is overwhelming3Lack of training4Takes too long to get insig

51、hts5Lack of a single source of truth1Security threats2Lack of data harmonization3Difficulty ensuring data accuracy/quality4Budget constraints5Challenges migrating data architecturesAnalytics and IT Leaders Top Data ChallengesBusiness Leaders Top Data ChallengesSALESFORCE17STATE OF DATA AND ANALYTICS

52、Data Quality Remains a Top PriorityLine-of-Business Leaders Are Less Confident Than Technical Leaders in Their DataSALESFORCESTATE OF DATA AND ANALYTICS 1702Departments Completely Confident in Data AccuracyData and Analytics57%53%45%42%40%IT Marketing Sales Service Data accuracy and confidence in da

53、ta accuracy is a key component of trusted data.Departments closest to the data,like data and analytics teams,have the highest confidence in their data accuracy.Confidence among line-of-business leaders is lower,revealing an opportunity to instill data confidence across marketing,sales,and service te

54、ams.57%of data and analytics leaders have complete confidence in their datas accuracy.Overall,there is room for improvement.Increased tracking of critical metrics,such as data quality,data utilization,data management and costs,data services delivery,and the ROI of data initiatives,could be one giant

55、 leap forward in making such an improvement.22.8%21.3%20.7%21.1%20.4%SALESFORCE18STATE OF DATA AND ANALYTICSSurging Data Overwhelms Users And Poses an OpportunityData Volumes And Complexity Expected to GrowSALESFORCESTATE OF DATA AND ANALYTICS 1802Expected Data Volume Changes Over the Next 12 Months

56、 Per Analytics and IT Leaders*Average percent growth was calculated from respondents who said they expected their data volumes to increase in the next 12 months.*“State of the Connected Customer,”Salesforce,August 2023.Expected Increase*(Mean Value)Overall data volume1st party data (e.g.,data from I

57、oT,ERP,or CRM systems)Device data (e.g.,mobile,web data,legacy,data)API&SDK data3rd party data (e.g.,AWS,GCP,Snowflake)68%28%62%33%62%34%60%35%57%38%3%1%3%1%2%4%1%4%1%IncreaseNeither increase or decreaseDecrease Not sure/Not applicable Business leaders second biggest data challenge,dealing with over

58、whelming volumes of data,shows no signs of abating.Over two-thirds of analytics and IT leaders expect data volumes to increase 22%on average over the next year.*They expect similar growth rates across a variety of sources including third-party data and device data.For data leaders,increasing and div

59、erse data sources require more effort to standardize data.This is likely to worsen a major challenge for analytics and IT leaders:lack of data harmonization(i.e.,standardizing data from different sources).Overcoming this challenge presents an opportunity for differentiation.Almost two-thirds(65%)of

60、customers say they expect companies to adapt experiences to match their changing needs,*yet 80%of business leaders say personalization is difficult to scale.For companies looking to serve more tailored experiences,mature data management capabilities are a key competitive advantage.SALESFORCE19STATE

61、OF DATA ANALYTICSThe Road to Data and AI Success Is Winding03SALESFORCESTATE OF DATA AND ANALYTICS 19SALESFORCE20STATE OF DATA AND ANALYTICS03Analytics and IT Leaders Top Barriers and Benefits to a Strong Data Culture A Strong Data Culture Benefits Employees and Customers AlikeImproving trust in dat

62、a is more than a technical fix;culture is critical to driving confidence and adoption.Data culture is the collective behaviors and beliefs of people who value,practice,and encourage data usage to improve decision-making.It equips everyone in an organization with insights for tackling complex busines

63、s challenges.To cultivate a strong culture,teams must overcome key barriers including security concerns,insufficient tools,and training.The good news is that analytics and IT leaders are taking action.Over seven in 10 are increasing budgets for data analysis tools and training.“Untapped Data,”Salesf

64、orce February 2023.Data Culture Spurs Data-Driven DecisionsBenefitsdata analysis and visualization tools79%training and development75%Analytics and IT Leaders Who Plan to Invest More in the Following1Greater productivity2Innovation3Better customer service4Confident decision-making5Cost savings/Fast

65、decision-makingBarriers1Privacy and security concerns2Data quality issues3Limited budget4Insufficient data analysis tools5Insufficient trainingAnalytics and IT Leaders Who Say Data Governance Plays the Following Roles at their CompanyData Governance Serves Many FunctionsHigh Data MaturityModerate Da

66、ta MaturityLow Data Maturity020406080020406080020406080020406080020406080020406080020406080020406080A data privacy policyA compliance measureA tool to ensure and certify baseline data qualityA framework to inspire trust in dataA measure for data maturity progressA framework to set expectations on ro

67、les of all data stakeholdersGuidelines for ethical use of dataA resource to define termsAn effective way to democratize data access Time saverA mechanism for change management88%87%81%85%85%78%86%83%73%86%83%67%85%81%72%86%80%71%85%81%78%86%80%70%86%80%70%86%79%71%82%77%72%87%85%85%84%83%82%82%82%81

68、%81%78%SALESFORCE21STATE OF DATA AND ANALYTICSSPOTLIGHT:Redefining Data GovernanceData governance is more than a list of rules and restrictions.Used strategically,it can help bolster data trustworthiness.In fact,85%of analytics and IT leaders use data governance to ensure and certify baseline data q

69、uality.Data governance is the set of rules or policies by which information is collected,managed,stored,measured,and communicated.It establishes parameters for data access,accuracy,privacy,security,and retention.Governance plays a multi-faceted role within analytics and IT organizations,particularly

70、 those with high data maturity.For instance,86%of high-maturity organizations use governance to democratize data access,compared to 70%of low-maturity organizations.SALESFORCESALESFORCE22STATE OF DATA AND ANALYTICS03Managing Large Volumes of Data:Analytics and IT Leaders Strategies to Address Data G

71、ravityAnalytics and IT Leaders Lean on Cloud Solutions to Mitigate Data GravityAnalytics and IT leaders lean on a variety of tactics to mitigate data gravity.Data gravity refers to the idea that as large amounts of data amass in a location or system,they attract additional applications and services,

72、making data relocation more difficult and more expensive.The popularity of cloud solutions whether using hybrid cloud or multiple cloud solutions suggests that organizations want the flexibility to adapt and choose where their data resides,rather than being locked into a single environment.Instead o

73、f relying on a single tactic,respondents are taking a multi-prongedapproach,deploying an average of 3.2different strategies to cope.A Multi-pronged Approach Helps Leaders Defy Data GravityUsing hybrid cloud or on-premises solutionsInvesting in better network insfrastructureUsing multiple cloud provi

74、dersEmploying decentralized or distributed data storage solutionsMoving applications closer to the largest data volumes(e.g.,co-locating applications and datasets closer to a central data store)Using data federation or data fabric architectureReducing data duplication across multiple locationsOutsou

75、rcing data management to a service provider47%44%41%40%39%37%37%35%1Simplified IT management2Enhanced security3Increased flexibility4Improved scalability5Greater capability for innovation17%2%10%28%34%9%SALESFORCE23STATE OF DATA AND ANALYTICSSPOTLIGHT:Technical Leaders Aim to Simplify IT ManagementT

76、he overwhelming majority of analytics and IT leaders are moving their applications to the cloud.Nearly three-quarters of analytics and IT organizations have already started their cloud migrations,or have always been in the cloud,and an additional 17%plan to make the move.Whats driving this shift is

77、a desire to simplify IT management in the face of increasing data volumes and complexity.And with rising cybersecurity threats,the clouds promise of enhanced security provides a strong draw for technical leaders.Analytics and IT Leaders App Migration PlansOrganizations Move to the Cloud to Simplify

78、IT and Strengthen SecuritySALESFORCEAnalytics and IT Leaders Top Reasons for Cloud Migration*No plansUnder considerationPlanning to move in the near future In the process of movingAlready movedAlways been in the cloud*Base:Analytics and IT leaders who have moved,or plan to move,their analytics and a

79、pplications to the cloudSALESFORCE24STATE OF DATA AND ANALYTICSLOOK AHEADTechnical Leaders Seek Platforms That Keep Up with New DemandsSALESFORCESTATE OF DATA AND ANAYTICS 24Analytics and IT Leaders Top Data and Analytics Platform Considerations1Cloud Deployment2AI capabilities3Speed/ease of deploym

80、ent4Ease of use for business users5Compatibility with existing tech stackUnlocking the value of data is no small feat.Fortunately,analytics and IT leaders can lean on data and analytics platforms for help.Technical leaders want a solution that eases technical demands,seeking out cloud solutions comp

81、atible with existing tech stacks.Thats not all.Analytics and IT leaders want solutions that pave the way for growing AI capabilities.Yet technical leaders crave platforms that address the needs of the business.Non-technical,user-friendly solutions ensure that data-driven decision-making is democrati

82、zed across the organization not just confined to tech experts.Business leaders are nearly unanimous:data and analytics improves decision-making provided the data results are accurate and accessible.Companies have their work cut out for them,but the benefits of maximizing their datas value is well wo

83、rth it.of business leaders say data and analytics improves decision-making2%53%43%96%Strongly agreeAgreeDisagreeStrongly Disagree1%SALESFORCE25STATE OF DATA AND ANALYTICSSurvey DemographicsSALESFORCESALESFORCE26STATE OF DATA AND ANALYTICSAnalytics and IT Leader DemographicsCountryAustralia .5%Brazil

84、 .5%Canada .5%France .5%Germany .5%India .5%Israel .3%Italy .5%Japan .5%Mexico .5%Netherlands .5%Singapore .5%South Korea .1%Spain .5%Switzerland .5%United Arab Emirates .3%United Kingdom .5%United States .18%IndustryArchitecture,engineering,and construction .3%Automotive .3%Communications .3%Consum

85、er goods .5%Energy and utilities .4%Financial services .11%Government/public sector .2%Healthcare .5%Life sciences and biotechnology .4%Manufacturing .12%Media and entertainment .3%Professional and business services .6%Retail .12%Supply chain and logistics .3%Technology .19%Travel and hospitality .2

86、%Other .1%DepartmentData and Analytics .18%IT or Tech related .82%SeniorityC-Suite .21%Vice president or equivalent .19%Director or equivalent .42%Senior manager or equivalent .18%TitleChief Information Officer .6%Chief Data Officer,Chief Analytics,Chief Data and Analytics .4%Chief Digital Officer .

87、1%Chief Technology Officer .10%SALESFORCESALESFORCE27STATE OF DATA AND ANALYTICSLine-of-Business Decision Maker DemographicsCountryAustralia .5%Brazil .5%Canada .5%France .5%Germany .5%India .5%Israel .3%Italy .5%Japan .5%Mexico .5%Netherlands .5%Singapore .5%South Korea .1%Spain .5%Switzerland .5%U

88、nited Arab Emirates .3%United Kingdom .5%United States .18%IndustryArchitecture,engineering,and construction .4%Automotive .5%Communications .2%Consumer goods .6%Energy and utilities .4%Financial services .17%Government/public sector .2%Healthcare .7%Life sciences and biotechnology .3%Manufacturing

89、.11%Media and entertainment .3%Professional and business services .8%Retail .15%Supply chain and logistics .4%Technology .4%Travel and hospitality .3%Other .2%DepartmentAccounting and finance .24%Human resources/shared services 19%Marketing .22%Purchasing .9%Sales .17%Service .9%SeniorityC-Suite .24

90、%Vice president or equivalent .21%Director or equivalent .37%Senior manager or equivalent .19%SALESFORCESALESFORCE28STATE OF DATA AND ANALYTICSLEARN MORE Take our Blueprint Assessment Get personalized guidance on your data-driven goals.LEARN MORE Get ready for AI Grab your guide.Want More?SALESFORCE

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92、te an endorsement.S does not warrant the accuracy or completeness of any information,text,graphics,links,or other items containedwithin this guide.S does not guarantee you will achieve any specific results if you follow any advice in the report.It may be advisable for you to consultwith a professional such as a lawyer,accountant,architect,business advisor,or professional engineer to get specific advice that applies to your specific situation.Copyright 2023,Salesforce,Inc.All rights reserved.