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Disposing of Digital Debris: Information Governance Strategy and Practice in Action [ Source: IBM ]

September 2014- Read this report from the Compliance, Governance and Oversight Council (CGOC) to learn how to reduce costs and increase performance by disposing digital debris.

Enabling the Internet of Things [ Source: IBM ]

September 2014- In this real world application of Internet of Things, Shaspa partnered with IBM to leverage IBM Informix, for an end-to-end solution and service delivery platform for a range of market sectors, starting with a residential gateway platform. The connected environment is smart buildings that use a variety of sensor-based and other data to improve efficiencies, operations and consumer experience.

Magic Quadrant for Master Data Management of Customer Data Solutions [ Source: IBM ]

August 2014- This Gartner's Magic Quadrant offer insight into the part of the packaged MDM solution market that focuses on how organizations master and share a "single version" of customer data.

The MDM advantage: Creating insight from big data [ Source: IBM ]

August 2014- To help enterprises create trusted insight as the volume, velocity and variety of data continue to explode, IBM offers several solutions designed to help organizations uncover previously unavailable insights and use them to support and inform decisions across the business. Combining the power of IBM InfoSphere Master Data Management (MDM) with the IBM big data portfolio creates a valuable connection: big data technology can supply insights to MDM, and MDM can supply master data definitions ...

Enhance the 360 Degree View of Your Customer [ Source: IBM ]

August 2014- Gaining a more complete, trusted view of customers is a strategic goal of most organizations. The challenge is that information about customers is typically managed and stored in many different applications, management systems and data silos. And this challenge is often compounded by a lack of consistency from one application to the next.

The combination of IBM InfoSphere Data Explorer and IBM InfoSphere Master Data Management addresses these challenges by creating a single, ...

Five Best Practices to Maximize ROI [ Source: IBM ]

July 2014- Big data is enabling businesses to discover actionable market opportunities and to pinpoint problems such as waste and fraud. These five proven practices for maximizing big data ROI, based on the experiences of early adopters, will set your big data initiatives on the path to success.

How Next-Gen DBMS Technology is Essential to Big Data [ Source: IBM ]

July 2014- Few organizations have the money to rip out their existing infrastructure to replace it with one that can handle the new load. This solution guide explores how to tackle these challenges, while keeping up with the need for increasingly complex analytics.

Why DBMSs Matter More than Ever [ Source: IBM ]

July 2014- Big data promises valuable insights that are enticing organizations to invest in analytics and BI tools. Yet many overlook the need for a DBMS that can stand up to the strain big data places on the underlying infrastructure.

Enabling Fast Email Recovery When Something Goes Wrong [ Source: Dell Software ]

April 2014- Read this Osterman Research report to learn more about why good email recovery and governance is a necessity for your organization, and how to address problems in your email environment. Having these capabilities makes your migrations safer, and allows you to recover from email system problems faster. It also helps you with eDiscovery requests and to comply with regulatory requirements, legal obligations and corporate-best practices.

Business-Driven Data Privacy Policies [ Source: IBM ]

May 2014- A policy-driven, on-demand masking approach enables organizations to proactively protect data privacy and support compliance. This approach is especially important in the current era of computing, where data is everywhere and is continuously growing in volume, variety and velocity. The end goal is to provide aggregated sensitive data to an analytics platforms, data warehouses and test databases while protecting privacy. Policy-driven, on-demand data masking should be built into an overall information integration and governance platform. ...

Big Data Goes Hollywood [ Source: IBM ]

April 2014- Enterprises can learn valuable lessons about data-driven marketing and demand forecasting from watching what's happening in movie, television, and digital content promotions, engagement and other campaigns.

Orchestration Simplifies and Streamlines Virtual and Cloud Data Center Management [ Source: IBM ]

March 2014- Virtualization, cloud computing, and the consumerization of IT continue to drive fundamental shifts in data center management priorities. Many organizations are implementing multi-hypervisor architectures and hybrid public and private cloud strategies. Converged systems integrate servers, storage, networks, and software to optimize the performance of specific workloads and simplify system deployment and operations. Yet, traditional data center architectures continue to support many mission-critical business applications.

This Technology Spotlight examines how advanced automation and orchestration ...

Integrating and governing big data [ Source: IBM ]

March 2014- While the term "big data" has only recently come into vogue, IBM has designed solutions capable of handling very large quantities of data for decades, leading the way with data integration, management, security and analytics solutions known for their reliability, flexibility and scalability. The end-to-end information integration capabilities of IBM? InfoSphere? Information Server are designed to help organizations understand, cleanse, monitor, transform and deliver data - as well as collaborate to bridge the gap between ...

Who's afraid of the big (data) bad wolf? [ Source: IBM ]

March 2014- Today, data volumes are exploding in every facet of our lives. Business leaders are eager to harness the power of big data, but before setting out into the big data world, it is important to understand that as opportunities increase, ensuring that source information is trustworthy and protected becomes exponentially more difficult. This paper provides a detailed review of the best practices clients should consider before embarking on their big data integration projects.

The New Currency of Business: Getting Big Value out of Big Data [ Source: IBM ]

February 2014- Every two days, the world generates as much data as it had through all of history up to the year 2003. By 2020, the world will have generated an astonishing 40 zettabytes, or 40 trillion gigabytes, of digital content. Data is the new currency of business. Enterprises are using insights from analyzed data to drive and develop new strategies, infiltrate new markets, discover new customers - in short, to innovate.

Putting Big Interaction Data to Work: 10 Real-World Examples [ Source: Informatica ]

February 2014- Big data comes in two flavors-big transaction data and big interaction data. Big transaction data is the steadily growing volume of financial, customer, product, and other information in your organization's ERP system, data warehouses, CRM applications, and other back-office solutions, either on premise or in the cloud. Big interaction data represents interactions of customers, partners, and competitors that affect your organization. It is mostly external to your organization, scattered across the web. Information posted on ...

IBM Big Data Stampede: Leading the Charge for Big Data success [ Source: IBM ]

February 2014- IBM Big Data Stampede fuses the strength of IBM?s services, products and skills to minimize the barriers of Big Data initiatives and provide organizations with quick success. Your Big Data Stampede includes an assessment to identify the high value starting points with Big Data. We work with you to unearth trouble areas and complex problems for resolution through leveraging Big Data. Read this data sheet to learn more.

New Dynamic In-Memory Analytics for the Era of Big Data [ Source: IBM ]

February 2014- DB2 10.5 with BLU Acceleration - New Dynamic In-Memory Analytics for the Era of Big Data: Coverage includes: - Speed of Thought Analytics with new BLU Acceleration - Always Available Transactions with enhanced pureScale reliability - Unprecedented Affordability with optimization for SAP workloads - Future Proof Versatility with business grade NoSQL and mobile database for greater application flexibility This is a chapter excerpt for an upcoming flashbook. It is a 40-page chapter about DB2 10.5 with BLU ...

Three Secrets to Big Data Success [ Source: IBM ]

February 2014- Big data is now critical to business success. Yet several obstacles stand between organizations and big data initiatives. This interactive guide lays out a clear path to avoiding these common stumbling blocks.

InfoSphere BigInsights for Hadoop Quick Start Edition [ Source: IBM ]

January 2014- For big data and analytics, open source Hadoop provides a flexible and affordable solution for processing large, multi-structured data sets. But while Hadoop can effectively analyze large amounts of data, it can be difficult to use and by itself is often incomplete. Enter InfoSphere BigInsights for Hadoop Quick Start Edition. With this newest member of the InfoSphere BigInsights for Hadoop family, you can download BigInsights at no charge and get your hands on enterprise-ready features ...

Is your database ready for the era of big data? [ Source: IBM ]

January 2014- You need a database designed to control both the infrastructure and personnel costs that form the IT budget. The next generation of IBM DB2 helps organizations get more value from their big data to improve their IT economics. Major innovations provide out-of-the-box performance gains that go beyond the limitations of in-memory-only systems to support decision making at the speed of business.

The top five ways to get started with big data [ Source: IBM ]

November 2013- Despite the increased focus on big data over the past few years, most organizations are still talking about what big data is rather than focusing on what problems big data can address. Through customer surveys, analyst reports, more than 300 customer and prospect discussions and hundreds of big data solutions implementations, IBM has identified the top five high-value big data use cases. This paper will help you determine which of the five can be your first ...

End-to-end Master Data Management [ Source: IBM ]

November 2013- Discover how a Master Data Management (MDM) strategy is key to unlocking the value of your company's product data. It provides critical business processes with timely, accurate and complete information about product; helping to generate better results regardless of the business need. MDM offers a clear and concise understanding of your product data from the collaborative authoring use case to the real-time operational use of the product data for managing catalogs, bundles and multi-channel commerce ...

The MDM advantage: Creating insight from big data [ Source: IBM ]

November 2013- To help enterprises create trusted insight as the volume, velocity and variety of data continue to explode, IBM offers several solutions designed to help organizations uncover previously unavailable insights and use them to support and inform decisions across the business. Combining the power of IBM InfoSphere Master Data Management (MDM) with the IBM big data portfolio creates a valuable connection: big data technology can supply insights to MDM, and MDM can supply master data definitions ...

Three must-have capabilities for today's warehouse environment [ Source: IBM ]

November 2013- Speed, simplicity and affordability: 3 capabilities businesses need from their warehousing environment. IBM DB2 with BLU Acceleration gives organizations a complete, multipurpose environment to rapidly distill insight from their data, make timely decisions and capitalize on opportunities

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