ClearStory Data Introduces Machine-Driven ERP Data Discovery, Data Quality Rationalization and Data Conversion to Reduce Costs for ERP Upgrades and Accelerate Migrations to Drive Better Insights from ERP Platforms and Other Data Assets

ClearStory Data Introduces Machine-Driven ERP Data Discovery, Data Quality Rationalization and Data Conversion to Reduce Costs for ERP Upgrades and Accelerate Migrations to Drive Better Insights from ERP Platforms and Other Data Assets

ClearStory Data's Machine-driven Data Discovery, Data Inference, Data Scoring and Data Quality Capabilities for ERP Applications, including SAP, Makes it Fast and Easy for Organizations to Discover, and Reconcile Heterogeneous ERP Application Data, Significantly Speeding ERP Upgrades, Migrations and Insights

MENLO PARK, Calif., Oct. 17, 2017 (GLOBE NEWSWIRE) -- ClearStory Data, the company bringing business-oriented data analytics to everyone with its machine-driven Data Discovery, Data Inference, Intelligent Data Harmonizationtm and Data Quality Rationalization for disparate data sources, today introduced new capabilities for machine-driven ERP Discovery and Data Conversion enabling large organizations that have multiple ERP instances and those that are consolidating, migrating or upgrading their ERP applications, to automate and speed the data rationalization process to speed and lower the cost of upgrades and migrations including SAP ERP.  The significance of ClearStory's solution is its proven machine-driven approach and measurable value for ERP consolidation and upgrades including SAP.

All large organizations have relied on their Enterprise Resource Planning (ERP) systems for managing their key order-to-cash, supply chain management, manufacturing and inventory management, financial management, and human capital management processes. As these organizations have grown organically, they have added and implemented either regional ERP instances or non-core business applications to manage the growing sets of business demands for flexibility and agility. Furthermore, organizations that have grown non-organically through mergers and acquisitions have ended up integrating or consolidating several different types of ERP and non-ERP systems, which has significantly increased resources, effort, cost and expertise required.

According to Gartner, ERP continues to be the single largest category of enterprise software license spend ? a forecast spend at the end of 2014 of $26.7 billion, growing at over 6.2% per annum to 2018. Moreover, Gartner states that ?demands for agility will increase significantly as digital business requirements place new pressures on organizations ? forcing business applications and processes to change with greater speed while maintaining their integrity ? and allow for the reimagining of business models.?

?Companies spend months if not years and tens of millions of dollars to rationalize and standardize their legacy ERP and disparate, non-ERP systems into a single, global instance in order to create a global, single version of the truth,? said Ali Tore, Chief Product Officer at ClearStory Data. ?Further, the cost of ERP upgrades and migrations entail data complexity that can be automated via a machine-driven approach to speed migrations.  ClearStory's ERP Data Rationalization capabilities determine the magnitude of the integration and migration problem by identifying the business data quality and conversion issues via a machine-intelligent approach.  The result is that all stakeholders from Business teams, IT teams and Systems Integrators, can better rationalize data from existing ERP systems such as SAP to speed upgrades and migration projects.?

ClearStory Data's ERP Data Rationalization solution provides key capabilities to accelerate  ERP integration and migration projects including:

• Machine-driven data prep, data discovery, data quality and transformations of data at scale, by intelligently inferring semantics across all data objects (e.g. Customer Master, Material Master, Vendor Master, Transactions) and values with ClearStory's Data Inference including internal data from multiple ERP and non-ERP systems as well as organizations' disparate data sources.
   
• Machine-driven Data rationalization and data blending from ERP silos and other sources including complex internal and external data sources via ClearStory's machine-based Intelligent Data Harmonizationtm eliminating traditional, lengthy and manual data profiling, modeling and mapping cycles.
   
• Smart, scalable Data Discovery for all data values, patterns and correlations in blended data sets. Smart Data Discovery further identifies  tables and fields with overlapping and non-overlapping values across all ERP and non-ERP systems and data sources.
   
• Machine-driven data quality rationalization and granular data governance for all data, from ERP and non-ERP systems, and disparate data sources, that are combined and blended into a single, harmonized view prior to actual conversion.

Through ClearStory's fast, end-to-end, machine-driven solution, organizations are experiencing fast, accurate upgrades and migrations and significantly accelerating ERP upgrade and migration project timelines while reducing costs.

About ClearStory Data

ClearStory Data is bringing scalable Business-oriented Data Analytics to everyone to accelerate the way business leaders get answers from more data, on a faster cycle, across any number of internal and external disparate data sources. ClearStory is uniquely differentiated with modern capabilities across smart data discovery, data prep via Data Inference, automated Intelligent Data Harmonizationtm. ClearStory Data also is a pioneer in leveraging Apache Spark-based data processing to speed insights from large and complex data sources. The company is headquartered in Menlo Park, CA with offices across North America and backed by Andreessen Horowitz, DAG Ventures, Google Ventures, Khosla Ventures and Kleiner Perkins Caufield & Byers (KPCB).

Media Contact:
Alexia Krispin
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650-322-2408