2024年数据驱动型企业(英).pdf
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1、Data-powered enterprises:The path to data mastery#GetTheFutureYouWantData-powered enterprises:The path to data mastery2Capgemini Research Institute 2024Data-powered enterprises:The path to data masteryTable ofcontents04Executive summary12How have organizations progressed on their data mastery journe
2、ys?06Who should read this report and why?08Introduction16Organizations have improveddecision-making and monetization,but data identification and access require more focus10Defining thedata-powered enterprise24Generative AI is transforming the data landscape3Capgemini Research Institute 2024Data-powe
3、red enterprises:The path to data mastery50Conclusion32What benefits do data masters receive?51Research methodology38How are data masters leading the data transformation?53Appendix4Capgemini Research Institute 2024Data-powered enterprises:The path to data masteryExecutive Summary In the 2020 edition
4、of our research,The data-powered enterprise:Why organizations must strengthen their data mastery,we found that organizations had made headway on data-powered decision-making.However,achieving data mastery was still a long road ahead for many.Today,nearly two in three executives agree that their orga
5、nizations use activated data to introduce new products or services or to develop entirely new business models.This years report,the next in the data-powered enterprises series,finds that,while many of the challenges we noted four years ago persist,they have diminished in intensity,as the challenges
6、that were historically seen as big issues,have become secondary as new priorities like AI have come to the fore.This year,we also explore how ready data foundations are to harness the power of generative AI.Only 40%of data executives state their organizations have developed their non-technical found
7、ations(culture,ethical guardrails,governance mechanisms,and legal and regulatory frameworks).Over half(56%)consider themselves mature on technical foundations(data,technology,infrastructure,and technical skills).We also investigate the rise of generative AI and its impact on data operations.We found
8、 that 60%of organizations have implemented pilots or launched early proofs of concept(PoCs)of generative AI initiatives based on their enterprise data.However,75%of data executives cite large-scale deployment of generative AI PoCs as a major challenge.For instance,only 42%of data executives have the
9、 required data to train generative AI models.The scale of the business opportunity has increased for data-powered enterprises when compared to 2020 and so has the bar to become a data-powered enterprise as the breadth of use cases for data has risen.5Capgemini Research Institute 2024Data-powered ent
10、erprises:The path to data masteryExecutive Summary We analyzed the organizations that participated in our research across data foundations and data behaviors and found that 17%qualified as data masters and reap higher benefits across data operations,generative AI,business,and financial metrics.83%of
11、 data masters have high effectiveness in quantifying the value of data assets and monetizing them,compared with 61%of others.First,define the data strategy as a seamlessly unified effort between business and data executives Aim to enhance data synergy and democratization across the business with the
12、 data foundation necessary to implement and scale generative AI and other innovations powered by data Put in place the governance framework required for innovations powered by data such as generative AI data pilots and as the necessary elements to ensure trust in data operations Enable employees to
13、be powered by data through upskilling and a collaborative culture Finally,equip for scaling on impact,with a focus on business priorities while leveraging a joint platform strategyWe highlight key areas that organizations should focus on in order to accelerate their journeys to becoming data-powered
14、 enterprises:6Capgemini Research Institute 2024Data-powered enterprises:The path to data masteryWho should read this report and why?This report follows the 2020 edition of our research,The data-powered enterprise:Why organizations must strengthen their data mastery and provides insights into the dat
15、a-transformation journey of organizations across sectors.This report will be particularly helpful to chief data officers,chief information officers,chief technology officers,chief analytics officers,enterprise analytics architects,and data architects.Additionally,given the current central role of AI
16、 in the data landscape,this report will also inform AI,analytics,and data science leaders.Finally,sustainability leaders will find it useful in light of recently introduced regulations.This report is based on the findings of an industry survey of 500 business executives and 500 data executives from
17、500 organizations across 12 countries.All organizations had annual revenue above$1 billion.Executives surveyed were director-level and above and were selected from across business and data functions.See the Research Methodology at the end of the report for more details.7Capgemini Research Institute
18、2024Data-powered enterprises:The path to data mastery8Capgemini Research Institute 2024Data-powered enterprises:The path to data masteryIntroduction Today data holds unparalleled potential.A small use case,such as real-time data about delayed trains,can save 27 million working hours,equivalent to 74
19、0 million in labor costs for the European Union1.In addition to improving operational efficiencies and saving costs,organizations today are increasingly monetizing data and leveraging it to boost their top lines.For example,companies like Coca-Cola are using data for intelligent revenue growth manag
20、ement including formulating segmentation and pricing strategies,portfolio and pack mix,and promotions2.In fact,Coca Colas intelligent prioritization model is believed to have resulted in a revenue growth of 9%in the first half of 20233.However,in order to leverage data for maximum potential,organiza
21、tions will need to make significant changes to their data collection,storage,retrieval,and governance processes.Organizations that have progressed on this data mastery journey are already reaping benefits,as visible from the improvement shown in their operations and financial metrics.Further,with ge
22、nerative AI,the power of data has grown manifold,but do organizations have the right data foundations to be able to scale and productionize their generative AI initiatives and derive value out of those?To find answers to such questions and to assess the current state of the organization on the data
23、front,we conducted a global survey of 500 business executives and 500 data executives from 500 organizations across 12 countries.We also conducted detailed interviews with 10 senior executives from across industries.9Capgemini Research Institute 2024Data-powered enterprises:The path to data masteryI
24、ntroduction Based on our research,we have delved into the following key areas in the reportHow have organizations progressed on their data mastery journey?Which are the key areas where organizations have improved,and have ground to cover?Do the organizations have the necessary data foundations to le
25、verage generative AI successfully?What are the benefits being observed by data masters?What are the key areas that organizations should focus on to accelerate their journey to becoming a data-powered enterprise?010402050310Capgemini Research Institute 2024Data-powered enterprises:The path to data ma
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