Michael Briles, SAP, provided an Enterprise Information Management (EIM) Roadmap webcast to ASUG this week. This webcast was provided at ASUG members’ requests and special thanks to Ina Mutschelknaus, SAP, for all her help to ASUG. The usual disclaimer applies that things are subject to change.
Figure 1, Source: SAP
EIM is the plumbing behind BI and manages the information that feeds operational systems, too.
Figure 2, Source: SAP
SAP roadmaps follow the same structure – what the solution looks like today, planned innovations, future direction is long-term
Figure 3, Source: SAP
EIM ensures reliable data to BI, and manages information in support of business processes in the SAP Business Suite. The tools work great in an SAP environment, but also works well in heterogenous environments.; Figure 3 shows where EIM fits in the SAP landscape.
Figure 4, Source: SAP
EIM is in the 4 main categories shown in Figure 4. Information Steward is generally available; Event Insight is still in ramp-up.
Figure 5, Source: SAP
Figure 5 shows Information Steward is the successor of Data Insight and Metadata Management. Information Steward brings IT and business together to profile data, monitor quality over time, who owns data, data domain control. 4.0 features include data quality scorecards, drill down to hot spots, data profiler, Metapedia to provide a common understanding of data elements, owners, and common terminology, metadata management to include the lineage of the data and impact analysis of a potential change.
Figure 6, Source: SAP
Data Services includes ETL, data quality, text analytics, access to critical business data, structured and unstructured data (text files, blogs, surveys, comment fields) and access to data in business suite via business content extractors.
Data Quality can be deployed at point-of-entry for ERP or CRM (or other applications) or in a batch mode. Data Quality helps you standardize, correct and enrich your data, as well as preventing duplicate entries.
Figure 7, Source: SAP
Master Data Governance (MDG) is embedded Master Data Management (MDM), focusing on the SAP business suite. MDG is process centric application; initial release designed for financial master data, but now includes other domains like vendor, material, and more. MDG includes validations, workflow and data staging. Uses Data Services for cleansing and matching rules.
Enterprise MDM provides a single version of the truth – a single application for managing multiple master domains, consolidate and harmonize master data. It uses Data Services for cleansing and matching rules, as well as for loading large amounts of master data.
Figure 8, Source: SAP
Enterprise Content Management (ECM) contains unstructured content within the lifecycle. According to Michael, it is a complete content management solution with deep integration with SAP. It connects with SAP data structures, integrates with business object level and “content enriches” business processes such as EAM.
Figure 9, Source: SAP
Information Lifecycle Management (ILM) covers information creation to destruction. ILM can help support your green IT initiatives. It includes archiving for better performance, and retention management for a data destruction strategy.
Figure 10, Source: SAP
Event Insight helps understand the impact of events as they unfold. It uses Complex Event Processing (CEP) from Sybase and BI from BusinessObjects. It publishes to dashboards or alerts to mobile devices with event data, query tools for BI power users. It processesevents across networks as shown in Figure 10.
Figure 11, Source: SAP
Roadmap looks at market trends for both business and technology, looking at culture perspectives. Planned Innovations generally cover 12 to 18 months.
Figure 12, Source: SAP
Figure 12 shows the themes. Information governance requires collaboration between business and IT. Empowerment provides more efficient results and more efficient work cycles between all information stakeholders. It monitors data quality. For this you need to define information governance processes and implement them across multiple systems. Quality is reviewed to mitigate risks and address problems early.
Simple theme is integration with the stack up and down, including BI and a common infrastructure.
Big Data theme includes real-time analytics, information management. You deploy in-memory technology and expand data types inside and outside the enterprise.
Figure 13, Source SAP
As shown in Figure 13, empowerment key needs include people such as the information steward to assign ownership, data domain to monitor a process (order to cash) to sponsor collaboration between business and IT. You use remediation to resolve data issues
Quality includes Data Services which has expanded regions and languages
ILM covers retention policies.
According to Michael, this is not a solution by solution roadmap – looking at EIM holistically.
Figure 15, Source: SAP
Big Data includes support for Hadoop
CDC is Change Data Capture. Sybase Replication Server can add to that existing Data Services functionality.
Complex Event Processing can expand sources with further integration with Sybase Aleri ESP.
Figure 16, Source: SAP
Figure 16 represents the big goals and not the specifics.
I look forward to hearing and learning more about Enterprise Information Management.