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Numerify Launches Next Generation Cloud Analytics

Numerify emerges from stealth with its turnkey Numerify360 solution for cloud analytics, Alteryx releases Analytics 9.0 with easy access to insight from a number of new sources, and Siemens AG selects Teradata to industrialize its big data analytics.

Numerify emerges from stealth with its turnkey Numerify360 solution for cloud analytics, Alteryx releases Analytics 9.0 with easy access to insight from a number of new sources, and Siemens AG selects Teradata to industrialize its big data analytics.

Numerify launches with turnkey cloud analytics. Emerging from stealth Wednesday Cupertino, California based Numerify announced the general availability of Numerify360 for IT — an innovative solution that transforms the way IT uses analytics to drive transparency, accountability, and efficiency by providing visibility and intelligence across the full spectrum of IT service operations. Delivering previously complex and costly enterprise capabilities in a pre-built, turnkey application, Numerify360 for IT provides powerful operational and financial insights for organizations of all sizes to optimize their IT service investments. Anchored on ServiceNow and powered by a robust patent-pending analytical platform, application design, and automation technology, Numerify360 for IT integrates data from IT, operational, and financial systems into a dimensionally-conformed, cloud data warehouse. "Numerify360 for IT gives IT Executives charged with running the ‘Business of IT’ the tools they need to measure like a CFO so they can manage like a CEO,” said Gaurav Rewari, Founder and CEO of Numerify. “Architected from the ground up for a world in which data relevant for decision-making is often dispersed across cloud and on-premise sources, Numerify360 applications extend the power of the SaaS delivery model from the operational to the analytical layer.”

Alteryx releases Analytics 9.0. Alteryx released Alteryx Analytics 9.0, empowering deeper business insights that can be achieved without the need to code and without the need for data scientists. The new release introduces easy access to and blending of all major and emerging sources of customer insight - from social sources to marketing automation to emerging customer data stores like Amazon Redshift. New repositories of customer insight information in version 9.0 include DataSift and GNIP support, the full sales and marketing lifecycle of Salesforce.com, and data warehouses such as Amazon Redshift, Pivotal, Greenplum and HP Vertica. The newest Alteryx release provides capabilities to scale the volume of data that can be analyzed using  R-based tools, making it even simpler to create analytic applications. "Through user-centric design and the most scalable analytics platform, Alteryx destroys the barrier for the non-PhDs to make data-driven decisions," said George Mathew, President and COO of Alteryx. "We're delivering a high fidelity experience to blend data and build advanced analytic models without being a programmer. Alteryx is the software instrument of change for all analytical leaders from the back office to the boardroom."

Siemens AG relies on Teradata.  Teradata (TDC) announced  that Siemens AG will be able to enhance its manufacturing processes and product quality by deploying Teradata technology. For the first time, Siemens will be able to combine and analyze data from sensors, the manufacturing process, and machine data, along with data from various source systems. After in-depth evaluation of relevant big data technologies on the market, Siemens decided to implement the Teradata UDA. The framework enables organizations to take advantage of the complete variety of data – both traditionally structured and new, diverse data. Depending on the analytical purpose, Siemens can combine and analyze different types of data on the most suitable platform. "We can now recognize the value within our data more quickly and efficiently," said Dr. Michael May, Head of Technology Field Business Analytics and Monitoring (BAM). "Transforming big data into smart data will allow us to optimize the quality of our products and can provide our customers with improved service."

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