Data is core to business operations, which explains why data and analytics have become a core business function. But organizations need to overcome several hurdles before they can get to the holy grail of business insights. Such hurdles include how to integrate data across multiple locations and technologies without data loss or having to manually copy data from and to different systems before analytic, data science, or engineering teams can begin their analysis.Data is growing both organically and inorganically (think mergers and acquisitions), which means your organization has myriad data types, tools, and languages working together to produce the desired insights. When building a data analytics infrastructure, look for vendors that won’t increase technical silos or force business and technical teams to use new, unfamiliar tools that will hamper productivity. Solutions that aggregate all your data into a single platform where policies can be applied to ensure data placement, movement, and protection are key.To read this article in full, please click her
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