Here’s the final article in this great series by Julie Hunt, an accomplished software industry analyst.
Convergence Clarifies Benefits and Value
In a recent Gartner report covering predictions for data integration and MDM:
Through 2015, 66% of organizations that initiate an MDM program will struggle to demonstrate the business value of it.
It’s probably not a stretch to extend this “struggle for value” to BPM and BI / analytics. But through the convergence of MDM with BI / analytics and BPM, an analyst like Sandy Kemsley sees increased business value, in this Loraine Lawson interview:
Lawson: It’s become more important with MDM to identify pain points and a real business case. Yet MDM is still pretty IT-centered. Does connecting it to business process management (BPM) allow it to be more business-focused as a project?
Kemsley: Absolutely – connecting it to BPM, and also connecting it to business intelligence and analytics, because that’s one of the things that many business users are interacting directly with (analytics), whether it’s just simple reporting or dashboards or a more complex drill-down. You can get better analytics if you have consistent data models and those consistent data models are going to be helped by MDM, that’s one of the key business benefits. When you want to have a report that gathers data from a number of different systems, it’s not going to be some huge, big, long project because somebody has to figure out what data maps onto what other data. It’s going to be a much more straightforward thing because while the data may not all be in one place, at least it will be in a consistent format so that you can easily bring it together.
Individually these solutions can achieve some value and success for an enterprise, but at the cost of much duplicated effort and resources.
In convergence, with initiatives for business improvement and better decision-making, an integration of BI/analytics, BPM, data governance and MDM has definite synergistic outcomes that can greatly increase business value and reduce wasted effort.
Integrating business insights into process execution will significantly improve the quality of decisions and lead to continuous process optimization. And process events kicking off BI and analytics for real-time decision-making increases beneficial outcomes.
All of these solutions should be about solving frequently complex business problems and supporting the work to be done in the enterprise. Each solution brings a significant piece of the “big picture”: better decisions for the business with reliable data feeding both intelligence and process. Ultimately the biggest payoff is how this convergence feeds directly into business agility and continuous change to constantly fine tune sustainable competitiveness.
About the author: Julie Hunt is an accomplished software industry analyst, providing strategic market and competitive insights. Her 20+ years as a software professional range from the technical side to customer-centric work in solutions consulting, sales and marketing. Julie shares her take on the software industry via her blog Highly Competitive and on Twitter: @juliebhunt. For more information: Julie Hunt Consulting – Strategic Product & Market Intelligence Services.