Did you know that while the vast majority of business leaders say the decisions they make are based on the best available data, only 60% of those leaders have predictive analytics capabilities at their disposal?
In today’s competitive marketplace, leaders are tasked with reducing risk and maximizing potential growth. Without the aid of business intelligence that encapsulates every aspect of your organization and your industry, you may struggle to convert your efforts into meaningful results.
By implementing a Big Data analytics strategy in your company’s decision-making process, the potential for measurable, sustained growth is greatly increased over the barebones data analysis techniques of old. Here’s a few examples of how:
Begin Local, Then Expand
Believe it or not, where Big Data analytics comes in, the big companies start at the same place small businesses do: local. By starting small and testing their data against real-world, immediate results in their local market, they can focus resources to prove their value in a specific area before branching out to national or global applications.
The world of data science and implementation is a fast-paced one, so even if you’ve got a Big Data solution in your organization, there’s very little chance it will remain relevant 3-5 years from now. Keeping your strategy flexible and able to adapt to changing circumstances will help you explore new technologies and opportunities as you grow.
Get Outside Assistance
In the rush to hire the best available talent for Big Data positions, companies often end up wasting valuable time and resources to implement talent in a still growing position. If you’ve never implemented Big Data analytics into your company before, starting with a fresh face isn’t always the best route. A specialized, agile team like Neal Analytics can help you get your Big Data strategy off on the right foot and help build a solid foundation for future growth and prosperity. Contact us today for more information or to schedule a consultation with our data scientists.
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