Setting Priorities: 5 Key Components for a Successful Big Data Strategy

Setting Priorities: 5 Key Components for a Successful Big Data Strategy

Setting Priorities: 5 Key Components for a Successful Big Data Strategy

We can all agree that big data can be overwhelming, especially if it’s not organized and managed efficiently. But, why is structured data important? How does it help your organization’s various lines of business? These are questions we hear every day.

The big data revolution is here; and it’s imperative for organizations to develop a strategic analytics roadmap that optimizes their business processes to give them competitive advantage. But how can do we make sense of priorities? What are the key competencies?

Brightlight focuses on these five competencies, and offers a variety of big data and analytics solutions and services that can be customized to meet specific needs.

Business enterprises need big and high performance data capabilities for cheaper stockpiling of multi-structured data; for faster computation for strategic analytics assets; and for streaming data to support the burgeoning world of the Internet of Things (IoT).

Many analytics solutions fail at the final mile, rendering an otherwise effective data integration, warehousing and analytic data model useless. It’s important to design and deliver compelling, multi-dimensional user interfaces, experiences and analytic intelligence. This can be accomplished by utilizing integrated data discovery, data quality monitoring, dimensional modeling, dashboards, scorecards, pivots, visualization, statistics, data mining, predictive modeling and machine learning.

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