In-memory Analytics: Leveraging Emerging Technologies for Business Intelligence

  • Source: IBM
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Traditional analytic tools run queries against a data warehouse (DW) with user queries being processed against the data stored on relatively slow hard drives. In-memory analytics leverages a significantly more efficient approach where all the data is loaded into memory. This results in dramatic improvements in query response time and end-user experience. Find out how in-memory analytics can help your organization.

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Best Practices for a BI and Analytics Strategy

  • Source: IDC
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A growing number of organizations are moving toward having more pervasive business intelligence (BI) by turning to evidence-based decision making supported by a range of BI and analytics technology and processes that enable decision makers to have the best possible intelligence about customers, finances, operations, suppliers, and the market. This white paper addresses several questions that BI customers are facing. Read More

Delivering Information Faster: In-Memory Technology Reboots the Big Data Analytics World

  • Source: SAP
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In-memory technology—in which entire datasets are pre-loaded into a computer’s random access memory, alleviating the need for shuttling data between memory and disk storage every time a query is initiated—has actually been around for a number of years. However, with the onset of big data, as well as an insatiable thirst for analytics, the industry is taking a second look at this promising approach to speeding up data processing. See how it works and how to revolutionize the way you run your business.  Read More

Why Enterprise Resource Planning Software Is Your Best Business Intelligence Tool

  • Source: IFS
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If a business is going to successfully operate competitively, it needs to expand its analytics processes beyond the rear-view mirror. In-context analytics derived from both historical information and real-time data provides more accurate and intuitively structured intelligence. Accessing this information through a built-in BI tool within an ERP environment enhances the process and empowers users to improve business outcomes in real time. Read More

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Real-time In-memory Technologies Do Not Make Data Warehousing Obsolete

The benefits of well thought-out architecture for designing and implementing large-scale DW environments are well-documented. Perhaps the best known of the DW architectures is the Corporate Information Factory. Since the creation of this architecture, there have been many technological advances, making its implementation faster, more scalable, and better performing. The data warehouse is no longer “off limits” to the business community; self-service BI, more sophisticated types of analytics, and... Read More

In-Memory Databases/In-Memory Analytics

The appeal of in-memory technology is growing as organizations face the challenges of handling and utilizing big data. There are compelling technical advantages to having an in-memory database, but the business benefits can be far-reaching, as the knowledge gained from analytics means that a data-driven business can closely engage with and anticipate the needs of customers and markets. This paper provides a look at the benefits of in-memory technology for dealing with big data and short overviews... Read More

Prepare for the Quantum Leap in Real-time Analytics: How In-memory Analytics Is Going to Change Everything about Your Enterprise

  • Source: SAP
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For business leaders facing the radical, disruptive change represented by in-memory analytics, the response may range from enthusiasm and advocacy to apprehension and fear. Regardless of your particular posture, the smart company needs to understand how in-memory works and what it represents, and craft a purposeful roadmap for their in-memory future. Download this primer on in-memory analytics to learn what it all means for you. Read More
 
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