您的浏览器禁用了JavaScript(一种计算机语言,用以实现您与网页的交互),请解除该禁用,或者联系我们。 [凯捷&Informatica]:企业数据治理:从数据混乱到受控智能 - 发现报告

企业数据治理:从数据混乱到受控智能

信息技术 2026-02-04 凯捷&Informatica Andy Yang 杨敏
报告封面

How active data governanceenables digital ambitions 04When trustequals success 01Data challenges,market pressures 02IDMC: A platform forenabling trusted data 05Capgemini and Informatica:Turning data into strategic assets 06About the authors 03Active Data Governancefrom Capgemini Trusted data is the foundation of digital business. As onlinechannels become the dominant medium for interacting withcustomers and interpreting markets, large enterprises areadopting a data-first mindset that reshapes how they operate. The effects are visible everywhere. Analytics are no longerconfined to data-science teams. Non-technical employeesincreasingly generate insights on their own, a shift applauded as“data democratization.” But such freedoms come with risks. When the information sourcesunderpinning decisions are siloed, inconsistent, or governed byclashing standards, results differ and interpretations collide.Without reliable foundations, the value of any insight is opento debate. The answer, firms are discovering, is active data governance.Analytics, intelligent automation, and AI all depend on trustedinformation. Modernizing data management in the cloud letscompanies harmonize sources scattered across lines of businessand geographies, while ensuring uniform rules and standards inevery business unit and department. As data is packaged into ready-to-consume products, active datagovernance ensures that every asset delivers value – safely andreliably. Instead of adding paperwork, it embeds governance intothe data product lifecycle from start to finish. Think of it like building a smartphone. If quality checks, securedesign, and battery optimization are baked-in from day one,the device is more likely to work flawlessly; skip it, and even apremium handheld becomes a headache. Data challenges,market pressures Data has long been central to business outcomes. Multinationalsrely on it to refine product design, improve risk models, set prices,and shape strategy. The novelty lies not in data’s importancebut in the difficulty of managing it. Firms now have to deal withunprecedented levels of volume, variety, and velocity. Daily lifefor a chief data officer (CDO) is a struggle to extract value whilestaying ahead of regulatory demands. Blocked innovation Fears over privacy, regulation, and security hamper firms’willingness to democratize data access. Many AI initiatives neverprogress beyond the pilot stage. Instead of consolidating data inthe cloud to enable digital transformation, companies persist withfragmented repositories divided by business unit or geography.Trust suffers as concerns mount over data quality, lineage,and compliance. Three pressures loom largest: Changing customer expectations New reporting requirements Digital channels are now the essential customer touchpoints.From late Gen X to millennials and Gen Z, consumers expectseamless experiences, whether shopping online, chatting withbots, or navigating mobile apps. Research by Capgemini shows thatshortcomings in data often prevent firms from delivering. CDOs aretherefore under pressure to modernize infrastructure, improvingscalability, flexibility, and real-time access. Regulation adds another burden. Businesses are now expectedto collect, process, and disclose sustainability metrics withever greater granularity. Most are unprepared for the technicalchallenges. The EU AI Act provides the perfect example. Any firmlaunching an AI solution of its own needs to show it follows therules. Those that can’t do so risk fines, penalties, unwantedscrutiny, and reputational damage. 0202 IDMC: A platformfor enablingtrusted data Iterate Continuous Monitoring& Optimization Informatica’s Intelligent Data Management Cloud (IDMC) helpsfirms meet these challenges head-on. It’s a powerful, scalable,and cost-effective SaaS cloud solution that unifies active datagovernance on a single platform. IDMC’s focus on user experience makes it easier to democratize data consistentlyacross the organization. These include AI-driven data ingestion, data integration, changedata capture, data replication, data governance, data quality,data catalog, data lineage, and master data management – allaccessible through a marketplace that lets business users browse,search, find, and understand the data they need in an intuitiveonline “shopping” experience. Recognized as a Leader on Gartner’s Magic Quadrant, Informatica has made IDMCthe world’s most comprehensive intelligent data management cloud. Cloud-firstIDMC is elastic, serverless, open-source, and API microservices-driven. It’s a complete data management platform, designed to help large enterprises createa single store of trusted data. Whether on-premises, in the cloud or hybrid, IDMC isbuilt to turn data into business value. The framework uses three guiding principles: Active DataGovernancefrom Capgemini Software lifecycle integration Rather than treating governance as an afterthought, webuild it into the development proces