Big Data Comes of Age: Shifting to a Real-time Data Platform

New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving way to purpose-built platforms more capable of meeting the real-time needs of more demanding end users and the opportunities presented by big data. Read this white paper to learn more about the significant strategy shifts underway to transform traditional data ecosystems by creating a unified view of the data terrain necessary to support big data and the real-time needs of innovative companies.

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Enabling Real-Time Big Data Movement in the Constantly Connected World

Many forces in today's world of big data are driving applications to become more real-time. Data needs to go many places, be sorted and stored in different formats, and used in a wide variety of ways. Capturing high volume data streams inside and outside datacenters can be complicated and expensive using traditional software messaging middleware on general purpose servers. In order to realize the full value of “big data” some organizations are switching to real-time message-oriented middleware appliances that excel at the high-speed distribution of large volumes of data. Read More

Transform Your Business with Data and Analytics

  • Source: IBM
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Harnessing all data and analytics to extract valuable insight sharpens your organization’s competitive edge. This paper presents a five-step approach to identifying, assessing, and deploying big data and analytics that repositions it as a central engine for your business. In the age of big data, this proactive strategy, combined with proper support, guidance and follow-through, can set your business apart in an increasingly crowded marketplace. Read More

The Operational Data Lake: Your On Ramp to Big Data

Companies recognize the need to integrate big data into their real-time analytics and operations, but this poses a lot of technical and resource challenges. Meanwhile, those organizations that have operational data stores (ODSs) in place find that, while useful, they are expensive to scale. The ODS gives real-time visibility into operational data. While more cost-effective than a data warehouse, it uses outdated scaling technology, and performance upgrades require very specialized hardware. Plus, ODSs just can't handle the volume of data that has become a matter of fact for businesses today.

This white paper discusses the concept of the operational data lake, and its potential as an on-ramp to big data by upgrading outdated ODSs. Companies that are building a use case for big data, or those considering an upgrade to their ODS, may benefit from this stepping stone. With a Hadoop relational database management system (RDBMS), companies can expand their big data practices at their own pace. Read More

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Real-Time Data Management Delivers Faster Insights, Extreme Transaction Processing, and Competitive Advantage

Most businesses today realize they need to deliver performance and responsiveness as quickly as possible—at the speed of real-time business. New paradigms, such as the intersection of big data and predictive analytics, offer rewards to organizations that are agile enough to take advantage of the insights discovered. But achieving the agility demanded by real-time business and next-generation applications requires a new set of interconnected data management capabilities. This paper examines the opportunities and the vision required to deliver this next-generation, real-time business.  Read More

Transform Your Business with Data and Analytics

  • Source: IBM
  • Written By:
  • Published:
Harnessing all data and analytics to extract valuable insight sharpens your organization’s competitive edge. This paper presents a five-step approach to identifying, assessing, and deploying big data and analytics that repositions it as a central engine for your business. In the age of big data, this proactive strategy, combined with proper support, guidance and follow-through, can set your business apart in an increasingly crowded marketplace. Read More

Modern Finance In The Digital Age: Plan and Predict Best Practices

The “3rd platform” continues to be a driving force of change within the global business economy and investors are increasingly more interested in businesses that can leverage big data. For the financial well-being of a company, implementing best practices for planning and prediction based on big data is crucial.

All aspects of business must keep pace and respond to changing forecasts and markets, creating value with the use of digital technologies. In developing uniformity of high-quality information across departments, as well as the ability to access data anywhere, businesses become more efficient. Generating operational data from a range of users within your company enables your finance organization to develop forecasts, business plans, and future models as well as market strategies. When planning applications are more strategic, teams are better able to predict and plan for the next move.

In today’s world of big data and quickly shifting international business markets, CFOs must understand that success depends on the ability of businesses to embrace and use digital information. In this white paper, learn how to develop best practices by replacing outdated and complicated spreadsheets with new modern applications that provide support to a variety of users, not just those involved in finance. Also learn how drive planning can be facilitated by cloud-based applications, and how to adopt driver-based rolling forecasts to allow for faster decision making.  Read More
 
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