Dirty, unstructured structured data, dozen-plus name variations, and inconsistent field definitions across disparate sources. This can of worms is an almost staple occupational hazard for any data analyst working on a project involving thousands of records. And the implications are anything but ordinary: Global financial institutions were fined $5.6 billion in penalties from … [Read more...] about A Detailed Guide to Using Entity Resolution Tools for Enterprise Projects
big data quality
Dont Acquire a Company Until You Evaluate its Data Quality
Mergers & acquisitions happen when companies believe they are more valuable together than when operating separately. The companies join workforces, systems, infrastructure, and data to become a new, more powerful, more valuable, more effective entity. That is only until they realized they overlooked or underestimated the key issues with data, IT infrastructure & … [Read more...] about Dont Acquire a Company Until You Evaluate its Data Quality
Disparate, Dirty, Duplicated Data – Understanding the 3Ds of Bad Data.
In a world fascinated with the limitless opportunities of AI, ML, and predictive analysis, data quality has become a significant challenge. Businesses are on the edge “ they need accurate data to create customized experiences, but data quality is an ongoing problem. Enterprises must deal with two debilitating aspects of data quality “ the obvious one which is dirty data … [Read more...] about Disparate, Dirty, Duplicated Data – Understanding the 3Ds of Bad Data.
Big Data Means Big Money: Why Businesses That Use Big Data Are More Profitable
Big data has dramatically changed the way most businesses operate. While the power of big data has been around for a while, it is only in recent years that companies across various industries have started leveraging it to its full potential. In its simplest form, big data is a collection of information from many sources. This data is usually collected in one of three … [Read more...] about Big Data Means Big Money: Why Businesses That Use Big Data Are More Profitable
Data Mining and Engineering in Finance
This'marcus'evans'conference will drive initiatives to build an ecosystem of quality data for trade and risk, through embedding data quality efforts within the use of a central data repository, the application of synthetic and legacy data, the role and limitations of machine learning, and use of appropriate data visualisation techniques. As the volumes of data held by … [Read more...] about Data Mining and Engineering in Finance
