[insideBIGData] The Harmful Effects of Data Silos and How to Avoid Them

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Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace. We invite submissions with a focus on our favored technology topics areas: big data, data science, machine learning, AI and deep learning.

The harmful effects of data silos and how to avoid them. Commentary by Shams Chauthani, CTO and SVP of Engineering at Zilliant

Data is the most important asset in today’s digital age, but compiling it into siloes is a disservice to organizations. A company may possess a tremendous amount of data but if it’s not easy to access or operationalize, it will be nearly impossible to spot inconsistencies across departments and prevent leaders from having a comprehensive view of company activities. Given the volume of unstructured data coming in and how often it changes hands, data will never be 100% perfect. However, there’s plenty of room for improvement and clear groundwork to prevent the worst. There are two answers for better data governance to allow your business to fully exploit its full value. First, acquire the right tools such as automated integration platforms to easily connect storage systems and external customer-facing data. Second, bring in outside expertise for a fresh perspective to help reshape and reorganize data collection practices.

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