Financial institutions are mired with large pools of historic data across multiple line of businesses and systems. However, much of the recent data is being produced externally and is isolated from the decision making and operational banking processes. The limitations of existing banking systems combined with inward-looking and confined data practices
Small data is akin to algebra; big data is like calculus.
In the movie Big, a 12-year-old boy, after being embarrassed in front of an older girl he was trying to impress by being told he was too short for a carnival ride, puts a coin into an antique arcade fortune teller machine called Zoltar Speaks, makes a wish to be big,
Hadoop is increasingly being adopted as the go-to platform for large-scale data analytics. However, it is still not necessarily clear that Hadoop is always the optimal choice for traditional data warehousing for reporting and analysis, especially in its “out of the box” configuration. That is because Hadoop itself is not
When asked what his movement wanted around a century ago, the iconic American labor leader Samuel Gompers famously gave a one-word answer: "More." This annoyed his opponents at the negotiating table and many in the business community. He was not demanding a specific wage increase or fighting for a distinct cause like
If you are looking for a way to fund your data quality objectives, consider looking in the closets of the organization. For example, look for issues that cost the company money that could have been avoided by better availability of data, better quality of the data or reliability of the