Be Confident in Your Data
Confidence in big data is essential. Without confidence, decision-makers may not act on big data insights – which would completely negate the benefits of big data in the first place. Understanding the level of confidence in big data, and selectively improving confidence to the required level, ensures the successful adoption of big data and analytics.
Last week, IBM launched new innovations in information integration and governance at an event titled “Building Confidence in Big Data.” The term “confidence” really resonated with clients, analysts and press in attendance. It’s a business issue that organizations are struggling with – and their ability to understand and improve confidence is directly related to their ability to leverage big data.
One of the speakers at last week’s event was Michele Goetz from Forrester. She unveiled new research strongly linking big data success with the presence of mature information integration and governance (IIG). Organizations with mature IIG technology and practices were far more likely to be doing big data projects, and also more likely to be successful with them. One of the interesting aspects uncovered is the notion that big data is governed in “zones.” Certain types of big data require certain types of governance. And specific big data use cases have specific requirements for governance. This changes the old notion of governing the data once and then using it; the new approach is to understand the usage and the data, then govern to the appropriate level – that is Agile Governance. There are many other interesting conclusions and also recommendations based on surveys of hundreds of organizations, which you may download here.
This is an important topic in the big data market, and we plan on continuing the conversation on big data confidence. Our next conversation will be Tuesday, September 17, on a webcast that Michele and I will host, entitled “Building Confidence in Big Data with Information Integration and Governance.” I hope you can join us – register here.