Enterprise Analytics: Searching, Clustering, and Learning – Oh My!

Enterprise Analytics: Searching, Clustering, and Learning – Oh My!

Have you ever put together a 1,000-piece puzzle without a picture to reference as you work? The task is time-consuming, frustrating, and seemingly impossible. After turning over each piece, you slowly begin to notice how the disparate shapes and images can be collected, analyzed, and processed into the big picture.

Your business data can be like thousands of pieces from a hundred puzzles dumped on the floor. How can you even begin to determine the state of your business?

The answer: Enterprise Analytics.

Whether it’s managing financial risk, using business intelligence tools, regulating compliance, or employing data visualization applications—your data tells the story of your organization. Unfortunately, much of this information is embedded in silos: the marketing team operates independently from financial or strategic data. In a recent study, less than half of companies employ a corporate strategy with respect to data.

So how do you pivot? How do you mark a new heading toward enterprise data analytics and build the foundation for data-driven decision making?

Bringing order to your organization’s data may seem overwhelming and impossible, but it doesn’t have to be. Though the job is complex, there are clear steps and useful tools to not only organize files, but to transform the cluttered mess into useful, quickly accessible information.

  1. Search: Know the data you have and where it’s stored. Not knowing this is inefficient at best, and costly regardless. Non-compliance with industry-wide data management standards can put you at the top of the naughty list. Your prize: audits and fines.
  2. Cluster: Create data groups to collate bits from across the organization to obtain a holistic picture: gather financial data from marketing and store it with financial data from operations. With all the pieces of the puzzle, you can determine the financial health of the organization and how each department fits into the larger picture. Note: Be sure to secure ANY data associated with PII. The expansion of data protection laws will impose penalties upon organizations that do not protect this sensitive information.
  3. Learn: With enterprise data discovered, secured, collated, and managed, you can now apply tools to unveil your company’s story. The data is shared corporately at each level, with access managed to individual users. The right people make the right decisions with the right data available at the right time. This is all possible through enterprise analytics.

FileFacets allows for easy data organization and cleaning. It can also tag PII files to be moved or secured in place. The software can be scheduled to run in the background on each individual desktop without interfering with day-to-day operations. Scans will run for PII, and users have the ability to partition personal information from corporate information for future scans.

With FileFacets tools, you will be able to create file-sharing environments from unstructured network- and cloud-based repositories. The ECM tools allow searches from disparate systems: servers, networks, laptops, and desktops.

FileFacets also offers a dashboard tool to specify which data repositories you want to analyze, and FileFacets will identify and present content from multiple systems into a single, enterprise-wide view.

If you want to get a true organizational picture from the puzzling mass of collected data, let FileFacets show you the way.