Reports

Bloor Group - August 2013

In-memory technology is one of the hottest topics surrounding high-performance Big Data analytics.

Read The Bloor Group analyst, Robin Bloor’s, Ph.D., take on why in-memory technology is a needed element to increase productivity and collapse the time it takes to glean actionable insights in,

“Why In-Memory Technology Will Dominate Big Data: In-Memory and the New BI.”

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Kognitio’s Parallelization of R Points to Expanded Analytic Platform Role

Author : 451 Research

Abstract: Read 451 analyst, Matt Aslett’s, opinion on the growing interest in both in-memory data processing and analytics as a service and how the Kognitio Analytical Platform’s support for R is a ground breaking move and one which expands the flexibility to support queries in multiple languages.

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Data Management for BI – Strategies for Leveraging the Complexity and Growth of Business Data

Author : Aberdeen Group

Abstract: Aberdeen’s research validates the assertion that organizational data is growing rapidly in volume and complexity. The ability to make better informed decisions through Business Intelligence (BI) systems is directly related to the cleanliness, relevance, and timeliness of that data. Best-in­ Class companies are taking strides to reduce time-to-information, generate a common view of their data, and arm their business decision makers with a high degree of data quality in order to support enhanced business performance. This report Is based on feedback from 216 global organizations.

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Cloud Business Intelligence and Data Management as a Service A Global Survey on Adoption, Challenges and Outlook

Author : BARC & EMA

Abstract: The adoption of Cloud is growing quickly across the enterprise and is becoming an important component in most companies IT and business strategy. As adoption has grown so has confusion around the technology and the terminology that defines it. Understanding the components of Cloud computing, especially the service and deployment models that support enterprise solutions, are critical for better understanding of this research.

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Analytic Platforms: Beyond the Traditional Data Warehouse

Author : BeyeNETWORK

Abstract: The once staid and settled database market has been disrupted by an upwelling of new entrants targeting use cases that have nothing to do with transaction processing. Focused on making more sophisticated, real-time business analysis available to more simultaneous users on larger, richer sets of data, these analytic database management system (ADBMS) players have sought to upend the notion that one database is sufficient for all storage and usage of corporate information. They have evangelized and successfully introduced the analytic platform and proven its value.

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Data Warehouse Appliances – Achieving the Business Value

Author : BeyeNETWORK

Abstract: The Mid-Market Data Warehouse Landscape research report identifies trends within data warehouse adoption and use among small and mid-sized companies. A distributed survey and a series of case studies form the basis of this report and provide a view of how easy it is becoming for mid-market organizations to take advantage of data warehousing technologies. The goal of this research is to provide awareness of what solutions are available within the mid-market and how companies are applying data warehousing within their organizations. This report also identifies the benefits and/or challenges they are currently facing.

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Pay as You Go: Business Intelligence and Data Management

Author : BeyeNETWORK

Abstract: The once staid and settled database market has been disrupted by an upwelling of new entrants targeting use cases that have nothing to do with transaction processing. Focused on making more sophisticated, real-time business analysis available to more simultaneous users on larger, richer sets of data, these analytic database management system (ADBMS) players have sought to upend the notion that one database is sufficient for all storage and usage of corporate information. They have evangelized and successfully introduced the analytic platform and proven its value.

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Kognitio Analytical Database Platform for Business Intelligence

Author : Bloor Research

Abstract: Kognitio competes with the usual suspects that play at the high end of this market. Its strategy is to provide performance that is much better than any of its rivals, at a price point that is comparable with conventional solutions. Of course, pricing is a moveable feast but there is no doubt that Kognitio can compete at the very highest level in terms of both performance and scalability.

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Performance at the Glass : Kognitio Analytical Platform

Author : EMA

Abstract: This Product Brief reviews the Kognitio Analytical Platform and recognizes Kognitio as a leader in the in-memory database management platform vendor space. Key Observations:

  • Performance at the Glass
  • Maturity
  • Expanding Beyond Structured Data
  • Diversity of Implementation Options
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Powering Analytics with In-Memory Database Management Systems Comparative Analysis: Kognitio Analytical Platform, SAP HANA and Oracle TimesTen

Author : EMA

Abstract: This EMA research paper compares and contrasts in-memory database management platform offerings supporting analytical workloads from Kognitio, Oracle and SAP.

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Mid-Market Data Warehouse Landscape

Author : Information Management

Abstract: The Mid-Market Data Warehouse Landscape research report identifies trends within data warehouse adoption and use among small and mid-sized companies. A distributed survey and a series of case studies form the basis of this report and provide a view of how easy it is becoming for mid-market organizations to take advantage of data warehousing technologies. The goal of this research is to provide awareness of what solutions are available within the mid-market and how companies are applying data warehousing within their organizations. This report also identifies the benefits and/or challenges they are currently facing.

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Business Intelligence Moves into the Mainstream – Supporting Pervasive BI with New Technology

Author : Intelligent Solutions

Abstract: BI is no longer a nice-to-have environment; it is now a mandatory technology for every enterprise, regardless of their size. IT’s job is to create a BI environment that is optimized for large, concurrent, and complex query workloads. Fortunately, there are vendors who offer innovative technologies that can support these requirements. One of these worthy of your interest is Kognitio and its analytical RDBMS solution.

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Incremental BI Infrastructure

Author : Knowledge Integrity

Abstract: While there are noted Business Intelligence successes in Fortune 1000 corporations, there are many smaller and medium-sized businesses that may not be in a position to commit to this kind of program yet desire business intelligence capabilities to execute their business strategy. These organizations may not be ready to make the capital investment required to implement a data warehouse, are unable to invest the budget and staff to purchasing and customizing the necessary analytic applications, or are organizationally unprepared to navigate the complex relationship between business and IT.

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Using Kognitio to Eliminate Barriers to Analytics Success

Author : Neuralytix

Abstract: In this White Paper, Neuralytix examines the challenges enterprises face when they try to integrate all these datasets for analytic purposes. Appropriate analysis can create strategic business value and competitive advantage resulting in dramatically improved revenue, better managed costs and the associated improvement in profits.

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Best Practices Report: BI on a Limited Budget – Strategies for Doing More with Less

Author : TDWI

Abstract: The current economic downturn has accentuated the need among business intelligence (BI) teams to do “more with less.” With budgets cut or flat, most BI teams have been forced to innovate and find new ways to deliver projects more efficiently.

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Best Practices Report: Big Data Analytics

Author : TDWI

Abstract: Big data analytics is where advanced analytic techniques operate on big data sets. Hence, big data analytics is really about two things—big data and analytics—plus how the two have teamed up to create one of the most profound trends in business intelligence (BI) today.

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Best Practices Report: Next Generation Data Warehouse Platforms

Author : TDWI

Abstract: The current economic downturn has accentuated the need among business intelligence (BI) teams to do “more with less.” With budgets cut or flat, most BI teams have been forced to innovate and find new ways to deliver projects more efficiently.

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Driving Increased Performance and Lowering the Total Cost of Ownership (TCO) in the Analytical Environment

Author : W H Inmon

Abstract: This paper will review the importance of increased analytical performance, data management improvements and radically reduced cycle times ensconced in and available from DW/BI technologies and designs, and will pay particular attention to one vendor that embodies the best of today’s thinking: Kognitio.

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