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Enterprise Data Warehouse Must Be Agile, Magnetic, And Deep!

Author: Sud Gover
by Sud Gover
Posted: May 18, 2016

First things first, business requirements are always changing. And if you’ve been involved with Enterprise Data Warehousing (EDW) projects then you’ll surely acknowledge that it has evolved over the years.

Second, the concept is older than most people realize. Earlier we have seen the basic functionality of Data Warehousing as merely a centralized repository of information management pertaining to gathering market research-based internal data and some external data and nothing else. Now, Enterprise Data Warehouse along with Business Intelligence (BI) inputs serve not only as a foundation for all data warehousing needs, but also used to accelerate deployment, streamline logistics, minimizing the possibility of financial costs and risks, drive sales, boost productivity and many more inbuilt analytical capabilities. Therefore, the way we look at EDW or perceive it now has drastically changed.

Agile, Magnetic, and Deep!

Prime Technology Group, LLC empowers your team to adapt to the changing business requirements of your organization, regardless of the industries you serve. In the healthcare industry for instance, where companies are seeking new and advanced ways to handle huge quantities of data, the business folks want better tools, practices and approaches to access key enterprise data across the care continuum.

Take CUMULUS. Prime’s next-generation CUMULUS system was designed from the ground up. Its Healthcare Data Warehousing solution ensures that enterprise data warehouses are populated from the central pool of data and maintained with trustworthy, actionable analytical tools and dashboards. With CUMULUS, you can analyze gigabytes, terabytes, petabytes of structured, unstructured or even semi-structured data as part of your enterprise data warehouse platform.

With Prime’s proven Business Intelligence (BI) and Data Warehousing (DW) solution, you can drive sales and boost productivity. We provide the end-to-end value chain of enterprise-wide productivity for companies by capturing data from heterogeneous sources (enterprise integration) to enable specialized analysis and access. This specialty is known as data mart, essentially catering to the data requirements of specific business functions, viz. HR, Finance, Marketing, including supply chain, accounting, market research, and customer management.

At Prime, our team starts up hot and heavy in pursuit of helping you scale up your healthcare operations in data mining, web mining, and decision support systems that bring business benefits.

Bold and Calculated Approach

Third, enterprise data is critically important. We at Prime firmly believe that the wealth of corporate data lake is not only meant for analyzing and planning purposes, but also meant to turn the data into acutely useable information that calls for an integrated view, uniform user-interface, and supports sharing of accurate and most up-to-date data.

Just recently, we had several client meetings where they raised concerns about adding huge quantities of data to the already salubrious data lake and it is making it trifle harder for them to find the proverbial "needle in the haystack." But of course, there is a method to the madness of such incredible data sources that when not mined properly can lead to poor decisions. With regard to this problem alone, what Prime does is it slices and dices the data haystack from where ever it might be originating from: web logs, media feeds, public data, reviews, opinions, etc.

Only Prime delivers full-scale budget-friendly Enterprise Data Warehouse solution from design to build to installation to support. The prime objective is to help customers achieve greater productivity and drive sales and meet the needs of today and position for the future.

About the Author

Prime Technology Group, LLC is a global, technology services company with innovation at the core of our business engagements. For more Information visit http://www.PrimeTGI.com

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Author: Sud Gover

Sud Gover

Member since: Feb 29, 2016
Published articles: 42

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