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Jon Pilkington

About Me

Jon Pilkington is Chief Product Officer at Datawatch. Considered as one of the founders of data preparation solutions, he is the recipient of several industry awards, including the Massachusetts Technology Leadership Council 2008 “CXO of the Year.”

Three Signs You’re Suffering from Data Mismanagement, and How to Fix it

We have more data at our fingertips than entire generations before us. But due to data mismanagement issues, for many companies that don’t mean very much. Data Management is a serious obstacle for companies who want to increase productivity, collaborate more efficiently and generate data-driven decisions. The bright side is that executives are recognizing the need for improved Data Intelligence strategies. So, how can enterprises identify and fix their Data Management challenges? There are three major signs that your data isn’t being leveraged fully.

The Evolution of Data Preparation and Data Analytics

Collaborative Data Preparation and Data Analytics will combine business users’ need for agility and data access for analytical purposes with IT’s desire for with governed, secure processes to manage data usage. Enterprise, team-based Data Preparation and Analytics will give companies the agile, intelligent infrastructure for true data-driven decision-making. Firms are already implementing integral parts of this new approach to Data Preparation and Analytics. Enterprises create an intelligent Data Management platform that will ensure positive business results and operational processes.

Dynamic Duo – Self-service BI and Data Preparation

The self-service Business Intelligence (BI) trend that has been sweeping the corporate world isn’t going away anytime soon. Self-service BI tools add tremendous value to organizations across industries – far beyond what is required in an initial investment. The technology improves business agility and speeds time-to-insight enabling users to quickly understand issues and take action. But, many organizations are finding that they can only achieve maximum value from their self-service BI tools if they are combined with a self-service data preparation solution. Here’s why.

Exploring the Role of Data Preparation and Data Analytics in Healthcare Finance

The global healthcare Data Analytics market will grow, as healthcare companies increasingly use data for financial applications, and to improve operational and administrative processes. The industry’s reliance on Data Analytics is also being driven by the increased use of electronic health records (EHRs) as well as the digitization of financial records and insurance claims processing. While the use cases for data in healthcare are endless, in this post, we’ll take a look at how analytics outcomes can specifically impact administrative and financial offices in healthcare organizations of all types and sizes.

Self-Service Data Preparation Eliminates HR Reporting and Compliance Woes

Regardless of whether they are prepared annually, or initiated by an incident or event, compliance and other HR reports require analysts and administrators to manually find and collect data from a variety of disparate sources, and then reconcile, extract and input it into spreadsheets for analysis. And with so much of HR’s time focused on these mundane tasks, other business-critical duties can quickly fall to the wayside. The good news for HR professionals is that self-service data preparation tools are designed to simplify and automate these operational tasks – making reconciliation, analysis, reporting and compliance completely painless. 

Don’t Drown in Your Data Lake: Keep Afloat with the Right Information

To turn Big Data into actionable business insights, information must be organized and securely stored. The traditional Data Warehouse method to accomplish these goals has proven to be unwieldy, and Data Lakes are quickly becoming the preferred storage repository. Self-service data prep tools enable organizations to get maximum ROI from information housed in Data Lakes. The technology provides the ease-of-use and flexibility that business users demand and the governance, automation and scalability needed by IT. As a result, companies are no longer drowning in their data – they are now putting it to work for enhancing decision making processes and operational guidance.

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