Are you dealing with complexities in your data-management infrastructure?

A large number of businesses are, as they’re struggling with managing an ever-growing number of data sources and the vast amount of existing and future data.  At the same time, organizations are using multiple analytical tools, dashboards, reports, and predictive tools.

Historically, companies have connected different tools directly to their data sources using tool connectors or writing scripts to extract the data. With this method, each analytical tool would have its own data pipeline and set of transformations.

While this approach provides an organization with quick access to their data, the sheer number of tools and scripts becomes difficult to manage. In addition, data silos can develop, which may lead to limited control of data, poor data quality and security issues. In addition, when a business user requires more data or new data, the organization typically faces extended delays to address connectivity to source systems and to deal with data-infrastructure issues.

In an attempt to rectify all this, businesses began implementing a staging layer to simplify connections and improve security. In this scenario, when they encountered specific difficulties, they would then try to implement a tool to treat each symptom. For example, a tool for extracting data, a tool for transforming, a tool for modeling, and a tool for scheduling, etc.

While this approach may make individual problems easier to handle, it ends up only making the overall implementation more difficult to manage. Each “tool” requires an expert to maintain it and none of these tools talk to one another, so you would need to orchestrate the entire operation.

In addition, maintaining compliance documentation for the solution often requires the same number of hours as it does to implement it. This creates a serious draw on resources and results in a backlog of IT requests and delayed access to data.

Discovery Hub is the Remedy

TimeXtender’s Discovery Hub® fixes all of these challenging issues in a systematic, common-sense approach. Here’s how:

Discovery Hub’s Operational Data Exchange (ODX) provides power users with all the organizations’ raw data in a data lake or a structured database. So, no matter if your data lies in text files, web apps, or databases, users can access it in a single format and location. And because ODX replicates the source structure, you can reuse all existing reports with an added layer of security and compliance.

Discovery Hub’s Modern Data Warehouse is where business users can find a governed and cleansed single version of the truth, to empower the business with enriched historical data.

Discovery Hub’s Semantic Layer includes pre-configured models of relevant data for a specific department or use-case, making it easy for even casual data consumers to make data-driven decisions. And since we integrate with multiple analytics tools, any existing models can be immediately translated for use in another front-end.

And finally, because the platform manages multiple aspects of you data architecture for analytics and AI, it enables compliance with the strictest regulations. Items such as documentation, lineage, and security are performed by a click of a button.

All these reasons are justification for any business to take a hard look at Discovery Hub.

Moreover, Discovery Hub is a future-proof platform that is built to adapt and scale with Microsoft technologies that are forthcoming. It leverages the power of automation to enable fast and agile development that documents analytics data compliance, and seamlessly supports full-cloud deployments, on-premises, or hybrid.

Our approach with Discovery Hub is one that provides approved business users with instant access to multiple types of data, enabling true self-service through any analytical tool.

Would you like to see Discovery Hub in action? Click here to schedule a private demo to see for yourself how Discovery Hub can provide immediate relief for companies struggling  to deal with all the issues as laid out above.