Microsoft Reinvents its Supply Chain by Leveraging SAP Ariba & Intrigo Systems

Microsoft Corp. has one of the most complex supply chains in the world.

And to keep it humming and ensure supply keeps up with demand for its hottest products, the company is reinventing its supply chain.

In a newly released Webcast (watch the video above), the company discusses how it is teaming with SAP Ariba and Intrigo Systems to create a scalable, modern platform to support the efficient, cost-effective manufacturing of its most popular products, including the Xbox and Surface.

“At Microsoft, our mission is to empower every person and organization on the planet to achieve more. And our strategy to achieve this is to build best-in-class systems and platforms and productivity systems,” said Ali Khaki, Principal PM, Supply Chain Engineering, Microsoft.

“When we looked at our supply chain, it was clear we needed to build a flexible, scalable platform that could support the complexity of our hardware business.”

And it is using SAP Ariba solutions for direct spend to do it.

“The Ariba® Network is the backbone for Xbox and Surface line of products supply chain,” Khaki said.

Through the Ariba Network and the cloud-based applications delivered on it – including SAP Ariba Supply Chain Collaboration™, Microsoft has created a modern platform from which it can safely and easily collaborate with multiple tiers of contract manufacturers and suppliers across key supply chain planning and execution processes, including:

  1. Sharing production forecasts, orders, quality, and inventory information.
  2. Anticipating and resolving supply assurance problems.
  3. Onboarding suppliers.

Read more at Microsoft Reinvents its Supply Chain by Leveraging SAP Ariba & Intrigo Systems

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Magic Quadrant for Business Intelligence and Analytics Platforms

Magic Quadrant for Business Intelligence and Analytics Platforms

Magic Quadrant for Business Intelligence and Analytics Platforms

 Magic Quadrant for Business Intelligence and Analytics Platforms

Data discovery capabilities are dominating new purchasing  requirements, even for larger deployments, as alternatives to traditional BI tools. But “governed data discovery” — the ability to meet the dual demands of enterprise IT and business users — remains a challenge unmet by any one vendor.

The BI and analytics platform market is in the middle of an accelerated transformation from BI systems used primarily for measurement and reporting to those that also support analysis, prediction, forecasting and optimization. Because of the growing importance of advanced analytics for descriptive, prescriptive and predictive modeling, forecasting, simulation and optimization (see “Extend Your Portfolio of Analytics Capabilities”) in the BI and information management applications and infrastructure that companies are building — often with different buyers driving purchasing and different vendors offering solutions — this year Gartner has also published a Magic Quadrant exclusively on predictive and prescriptive analytics platforms (see Note 1). Vendors offering both sets of capabilities are featured in both Magic Quadrants.

For this Magic Quadrant, Gartner defines BI and analytics as a software platform that delivers 17 capabilities across three categories: information delivery, analysis and integration.

As a result of the market dynamics discussed above, the capability definitions in this year’s Magic Quadrant have been modified with the following additions and subtractions to reflect our current view of critical capabilities for BI and analytics platforms.
Capabilities dropped:

  1. Scorecard: Most companies do not implement true scorecard/strategy maps using BI platforms — they implement dashboards. Also, most BI vendors report limited sales activity for their scorecard products. Scorecards are primarily delivered by corporate performance management (CPM) vendors (see “Strategic CPM as a Driver for Organizational Performance Management”). Therefore, we have included scorecards as a type of dashboard, rather than as a separate category.
  2. Predictive Analytics: covered in the new “Magic Quadrant for Advanced Analytics Platforms.”
  3. Prescriptive Analytics: covered in the new “Magic Quadrant for Advanced Analytics Platforms.”

Capabilities added:

  1. Geospatial and location intelligence (see the Analysis section)
  2. Embedded advanced analytics (see the Analysis section)
  3. Business user data mashup and modeling (see the Integration section)
  4. Embeddable analytics (see the Integration section)
  5. Support for big data sources (see the Integration section)

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Revolution Analytics named a Visionary in the Gartner Magic Quadrant for Advanced Analytics Platforms

Revolution Analytics named a Visionary in the Gartner Magic Quadrant for Advanced Analytics Platforms

The entire team at Revolution Analytics is very proud to announce that Gartner has named Revolution Analytics a Visionary in the inaugural Gartner Magic Quadrant for Advanced Analytics Platforms, published February 19, 2014. The report evaluated 16 vendors through a series of stringent criteria related to the ability to execute and completeness of vision.

Revolution Analytics is positioned the furthest for Completeness of Vision and Ability to Execute in the Visionaries Quadrant. We believe this is a validation of the leading-edge innovations of the open-source R community, and that of our own Revolution R Enterprise development team who continues to complement R with scalability, performance, and enterprise readiness. Here’s what CEO Dave Rich has to say:

“It’s such a pivotal moment for data scientists and the growing open-source R community that Gartner has embarked on its first ever Magic Quadrant for Advanced Analytics Platforms. Gartner estimates advanced analytics to be a $2 billion market that spans a broad array of industries globally, and ‘Gartner predicts business intelligence and analytics will remain top focus for CIOs Through 2017.’ We believe that this new Magic Quadrant puts a spotlight on big data as the great analytics disruptor and we feel highlights the need for solutions like Revolution Analytics’ that are built upon a flexible, open platform, and designed for today’s Big Data Big Analytics challenges.” — Dave Rich, CEO, Revolution Analytics

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