• January 21, 2016

Drowning in Data? 3 Ways to Create True BI Optimization

As demand for business intelligence has increased over the last several years, demand for data input has skyrocketed, as well. This relationship has naturally facilitated the presumption that generating, storing, and analyzing as much data as possible is, intrinsically, a good thing.

But what if we told you that’s not always true.

The reality is that many organizations are drowning in data. And this problem won’t magically get better. Data production in 2020 will be 44 times greater than it was in 2009. Additionally, IDG Enterprise research suggests that the majority of that growth will come from unstructured data—a data source that many enterprise organizations aren’t currently prioritizing. If those projections hold true, things are going to get worse for many organizations before they get better.

So, what can you do to mitigate the challenges created by data growth and business intelligence (BI) optimization? Here are three steps that will make a big difference:

1. Perform data de-duplication: In a world of explosive data growth, it’s critical for the enterprise to maximize the usable capacity (and performance) of its storage assets. Data de-duplication is a critical part of achieving that objective because it ensures the integrity of your data, while it also eliminates wasted resources, reducing network bandwidth cost and improving backup throughput.

2. Break down data silos: In many enterprise organizations, information is locked inside data silos that prevent front-line employees—sales, marketing, product development, etc.—from generating richer BI to make faster, smarter decisions. For your organization to truly harness growing volumes of structured and unstructured data, you must eliminate the barriers that prevent employees from accessing and analyzing it.

3. Undergo BI modernization: That last point feeds into this one. While most existing BI environments can provide analytics and reporting, they aren’t typically designed to deliver insights from new data formats and higher data volumes. BI modernization addresses this by evaluating where all relevant data currently resides and stripping away the restrictions that make it extremely difficult to extract, analyze, and share. This leads to harmonization of all data sources and all BI systems, which leads to fuller, more innovative use of that information.

Let’s be clear: The future of Big Data and BI are very bright. But for your organization to truly harness and create value from exploding data growth, it must first invest in building a foundation that’s dynamic and flexible enough to meet the needs of this changing environment. Taking the three steps above is a good place to start.

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