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Developing a Data Integration and Lifecycle Management Strategy for a Hybrid Environment IBM Analytics Developing a data integration and lifecycle management strategy for a hybrid environment ENTER » IBM Analytics Developing a data integration and lifecycle management strategy for a hybrid environment Table of contents Introduction: Imposing order on chaos 3 Turn data into information: Defining an integration and lifecycle strategy 7 IBM solutions for data integration and lifecycle management 17 Next steps: Continuing the cloud governance discussion 19 « BACK | NEXT » 2 IBM Analytics Developing a data integration and lifecycle management strategy for a hybrid environment Table of contents > Introduction: Imposing order on chaos Introduction: Imposing order on chaos Cloud- based data presents a wealth of potential Hadoop offer unparalleled cost benefits and analyti- Introduction: Imposing order on chaos ●● The four pillars information for organizations seeking to build and cal opportunities. However, while Hadoop and maintain competitive advantage in their industries. Hadoop- based solutions have their advantages Turn data into information: Defining an integration and However, as discussed in “The truth about when it comes to addressing big data volumes, lifecycle strategy information governance and the cloud,” most Hadoop itself is not designed for data integration. ●● Where is the data that my organization needs? ●● How will the data be assembled to create the information my organizations will be challenged to reconcile their Data integration carries its own unique requirements organization needs? legacy on- premises data with new third-pa rty cloud- (such as supporting governance, metadata manage- ●● Do I really need to keep all this data? based data. It is within these “hybrid” environments ment, data quality and flexible data delivery styles) that people will look for insights to make critical for success. Yet, there is a way to make sense of the IBM solutions for data integration and lifecycle management decisions. chaos. As always, the first step is understanding the Next steps: Continuing the cloud governance discussion nature of the problem. The primary focus must be Hybrid environments generally grow without much on the data itself, rather than the sources of the data advance planning, making the task of managing and the systems used to manage the data. If you ever- growing data stores all the more difficult. make data and ownership of information derived Additionally, scalable data platforms such as from the data the top priority, everything else falls into place quickly. « BACK | NEXT » 3 IBM Analytics Developing a data integration and lifecycle management strategy for a hybrid environment Table of contents > Introduction: Imposing order on chaos 3. Enterprise and departmental-s tandard practices Introduction: Imposing order on chaos The four pillars ●● The four pillars How can your organization realize the financial for securing and protecting strategic information benefits of the cloud while ensuring information assets, such as articulating role-bas ed access to Turn data into information: Defining an integration and culled from cloud sources is secure and information, creating rules governing how informa- lifecycle strategy trustworthy? The answer is governance. tion is shared and protecting sensitive information ●● Where is the data that my organization needs? ●● How will the data be assembled to create the information my from third parties. organization needs? Good hybrid information governance rests on four 4. An enterprise data integration strategy that ●● Do I really need to keep all this data? key priorities for IT and the business: includes lifecycle management, architecting how data will flow and be assembled into strategic IBM solutions for data integration and lifecycle management 1. Broad agreement on what information means, information, and also understanding how that Next steps: Continuing the cloud governance discussion including metadata on common policies and information will be maintained over time. plain- language rules for the information the business needs and how it will be handled. 2. Clear agreement on how owned-inf ormation assets will be maintained and monitored—for example, operational data quality rules to master data management in on-pr emises systems. « BACK | NEXT » 4 IBM Analytics Developing a data integration and lifecycle management strategy for a hybrid environment Table of contents > Introduction: Imposing order on chaos Introduction: Imposing order on chaos ●● The four pillars Turn data into information: Defining an integration and lifecycle strategy ●● Where is the data that my organization needs? ●● How will the data be assembled to create the information my organization needs? ●● Do I really need to keep all this data? IBM solutions for data integration and lifecycle management Next steps: Continuing the cloud governance discussion « BACK | NEXT » 5 IBM Analytics Developing a data integration and lifecycle management strategy for a hybrid environment Table of contents > Introduction: Imposing order on chaos These components form the foundations of Introduction: Imposing order on chaos ●● The four pillars information governance in a hybrid environment. Taking ownership of strategic information In each case, you need a blend of process, Adopting a hybrid environment does not imply you must Turn data into information: Defining an integration and organizational and technical enablers for success. have your IT strategy completely worked out. In fact, lifecycle strategy With these pillars in place, your organization will have ●● Where is the data that my organization needs? cloud-bas ed aspects of the environment will evolve ●● How will the data be assembled to create the information my the flexibility to move with speed and confidence. rapidly in response to business priorities. However, organization needs? even if only a small percentage of data is flowing in ●● Do I really need to keep all this data? This e- book focuses on the fourth pillar: from cloud-bas ed sources, IT does need a plan for data building and executing a data integration integration and security. IT must help the organization IBM solutions for data integration and lifecycle management and lifecycle management strategy. ensure it owns the information created from all data and Next steps: Continuing the cloud governance discussion processing, no matter where that information is located. The hybrid infrastructure and decentralized computing are means to the ultimate end of creating strategic information assets. « BACK | NEXT » 6 IBM Analytics Developing a data integration and lifecycle management strategy for a hybrid environment Table of contents > Turn data into information: Defining an integration and lifecycle strategy Turn data into information: Defining an integration and lifecycle strategy You’ve recognized the importance of owning data Introduction: Imposing order on chaos Where is the data that my ●● The four pillars that is strategic to your organization. In turn, this organization needs? creates the need for a clearly articulated data Business leaders are eager to harness the power of Turn data into information: Defining an integration and integration and lifecycle management strategy. data, regardless of where it resides. However, before lifecycle strategy The strategy will define which data sources are ●● Where is the data that my organization needs? setting out into the expansive data world, be aware ●● How will the data be assembled to create the information my acceptable, what data elements to own, how the that as data volumes increase, it becomes exponen- organization needs? owned data will be stored or maintained, and how tially more difficult to ensure that source information ●● Do I really need to keep all this data? long the data will survive within the organization. is trustworthy and accurate. If this trust issue is not IBM solutions for data integration and lifecycle management addressed, end users may lose confidence in the To make these decisions, start by addressing three insights generated from their data, which can result Next steps: Continuing the cloud governance discussion specific questions: in a failure to act on opportunities or against threats. 1. Where is the data that my organization needs? Unfortunately, the sheer volume and complexity 2. How will the data be assembled to create the of data and data sources means that traditional, information my organization needs? manual methods of discovering, governing and 3. Do I really need to keep all this data? correcting information are no longer feasible. You need to implement an information integration Let’s consider each of these questions individually. and governance (IIG) solution to support diverse data applications, data warehouses and data ware- house augmentation initiatives—regardless of whether the information they rely on is on-pr emises or in the cloud. « BACK | NEXT » 7 IBM Analytics Developing a data integration and lifecycle management strategy for a hybrid environment Table of contents > Turn data into information: Defining an integration and lifecycle strategy As important or potentially important data sources Introduction: Imposing order on chaos How will the data be assembled to ●● The four pillars are uncovered, a good data integration strategy will create the information my account for myriad data topologies by integrating organization needs? Turn data into information: Defining an integration and information at the point of data creation. A solid IIG If data integration technologies are pushed
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