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Software Functionality Revealed in Detail
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 data warehousing information center bi

Software Functionality Revealed in Detail

We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.

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Compare Software Solutions

Visit the TEC store to compare leading software by functionality, so that you can make accurate and informed software purchasing decisions.

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Business Intelligence (BI) and Data Management

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Documents related to » data warehousing information center bi

A One-stop Event for Business Intelligence and Data Warehousing Information


The Data Warehousing Institute (TDWI) hosts quarterly World Conferences to help organizations involved in data warehousing, business intelligence, and performance management. These conferences supply a wealth of information aimed at improving organizational decision-making, optimizing performance, and achieving business objectives.

data warehousing information center bi  for Business Intelligence and Data Warehousing Information The Data Warehousing Institute ( TDWI ) hosts its quarterly World Conference in cities across the US to help organizations involved in data warehousing, business intelligence (BI), and performance management, by giving them access to industry experts, and providing impartial classes related to topics pertinent to the industry. As the industry grows, organizations are faced with questions about how to best access their data to drive profits and Read More

Data, Data Everywhere: A Special Report on Managing Information


The quantity of information in the world is soaring. Merely keeping up with, and storing new information is difficult enough. Analyzing it, to spot patterns and extract useful information, is harder still. Even so, this data deluge has great potential for good—as long as consumers, companies, and governments make the right choices about when to restrict the flow of data, and when to encourage it. Find out more.

data warehousing information center bi  Information Systems | BI Data Warehousing | Data Management Service | Data Management Definition | MDM Data Management | Data Storage Manager | Data Management Outsourcing | Data Management Strategies | Business Intelligence Data Integration | Data Integration | ITIL Data Management | Big Database | Data Migration | Using MDM | Data Reduction | Data Maintenance Costs | SAP Data Management | SAP Netweaver Master Data Management | SAP Netweaver MDM | SAP MDM Quick Starters | SAP Netweaver White Papers | Read More

Massive Data Requires Massive Measures


One thing we learned in the data warehouse and data management world is that when it comes to the analysis of big data, there is also a lot of big money involved in order to gain position. But is the analysis of extensive amounts of data really a key component for the corporate business world?

data warehousing information center bi  its position in the data warehousing space and analysis of large data volumes. Here’s a quick look at some of these recent events: EMC and Greenplum In the data warehouse and business intelligence (BI) area, the acquisition of Greenplum by the information management company EMC   rang the bells of war in the field of data warehousing and massive data analysis. With this acquisition, EMC unfolded a strategy to locate itself in a good position for a mature but still growing market. While large companies Read More

What Good Is Information If Nobody Sees It?


Keeping detailed historical information is a great idea in theory, but how can it be merged with current data to enable split-second decisions? Two companies partner to solve a significant problem in e-commerce.

data warehousing information center bi  products that pull together data from all of a company''s operational data channels. They recently announced a suite of products, collectively called Ecometry, which help online retailers collect and manage a wide range of customer and transaction data. The goal is to provide a single view of the customer data. Ecometry is XML-based and uses client-side (i.e., browser based) Java in its user interface. There is, however, more to a business than its operational data. Useful historical data can be found in Read More

Is BI Really for Everyone?


It’s been a long time (in this business, anyway) since the very first business intelligence (BI) solutions turned up, enabling big organizations to perform data analysis, generating reports with primitive dashboards for company execs. Since then, the BI space has become agile, operational, self-service, social, and even reactive. When I started to prepare a BI buyer guide, I had to reconsider

data warehousing information center bi  big organizations to perform data analysis, generating reports with primitive dashboards for company execs. Since then, the BI space has become agile , operational , self-service , social , and even reactive . When I started to prepare a BI buyer guide, I had to reconsider why any individual or organization would want to acquire, change, or upgrade a BI solution. BI has become disruptive. But it’s also necessary. Despite its almost-too-fast evolution, invasion of new markets, and overturning of the way 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.

data warehousing information center bi  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 Read More

Are you BI Lingual or Just BI Curious?


Lost in Translation If your organization was a celebutante, who would it be? Well, comely or not, let’s hope that when it comes to BI, you’re not a bemused, glassy-eyed Scarlett Johansson à la Lost in Translation http://www.imdb.com/title/tt0335266. If so, there’s a cure and it’s not acting lessons. It’s a lesson in collaboration; ensuring that both your IT and business teams are speaking the

data warehousing information center bi  business”, according to The Data Warehousing Institute (TDWI) ( Bair, J., S. Fox, M. Hunt, and D. Meers, Aligning BI with Business Strategy: How a Mission Mapped Architecture can help , DSSResources.COM, 09/10/2005. ) But the dreaded “R” word – recession - emerges and begs the question – is this the right economy for BI? Robert Abate asserts that BI has long term value that should be considered. His suggested “tools for hard times” include putting to use 1) data governance to optimize Read More

Big Data: Operationalizing the Buzz


Integrating big data initiatives into the fabric of everyday business operations is growing in importance. The types of projects being implemented overwhelmingly favor operational analytics. Operational analytics workloads are the integration of advanced analytics such as customer segmentation, predictive analytics, and graph analysis into operational workflows to provide real-time enhancements to business processes. Read this report to learn more.

data warehousing information center bi  the Buzz Integrating big data initiatives into the fabric of everyday business operations is growing in importance. The types of projects being implemented overwhelmingly favor operational analytics. Operational analytics workloads are the integration of advanced analytics such as customer segmentation, predictive analytics, and graph analysis into operational workflows to provide real-time enhancements to business processes. Read this report to learn more. Read More

Information Governance in a World of Big Data


Organizations need to evolve the governance of their information assets and respond to the opportunities and challenges brought by the mega trends such as Big Data, the cloud, etc. Information governance already exists in most large organizations and has different, often unconnected focal points. This white paper discusses the current state of information governance and new challenges, and makes recommendations for what organizations need to do to succeed in the world of Big Data.

data warehousing information center bi  a World of Big Data Organizations need to evolve the governance of their information assets and respond to the opportunities and challenges brought by the mega trends such as Big Data, the cloud, etc. Information governance already exists in most large organizations and has different, often unconnected focal points. This white paper discusses the current state of information governance and new challenges, and makes recommendations for what organizations need to do to succeed in the world of Big Data. Read More

Transactional Data: Driving Real-Time Business


A global survey of IT leaders shows that most organizations find it challenging to convert high volumes of fresh transactional data into knowledge that business users can efficiently access, understand, and act on. SAP and HP are tackling this challenge head-on. Download this article to learn more.

data warehousing information center bi  volumes of fresh transactional data into knowledge that business users can efficiently access, understand, and act on. SAP and HP are tackling this challenge head-on. Download this article to learn more. Read More

A Guide to Microsoft’s BI Ecosystem—Understanding Microsoft’s Approach to BI for the Enterprise


In the last 4 to 5 years, the business intelligence (BI) and data management scene has evolved at an incredibly fast pace. Software pioneer Microsoft has extended the reach of its enterprise software solutions to the BI and analytics space by offering a wide variety of software applications to enterprises for performing BI and analytics capabilities based on different organizational needs and requirements. Aiming to help users with their BI software selection efforts, this research series explores the complete Microsoft BI product stack, describing the outstanding features of each of Microsoft’s BI offerings. The first part of this series describes the development of the Microsoft BI product landscape and provides insight into Microsoft’s set of enterprise BI solutions.

data warehousing information center bi  business intelligence (BI) and data management scene has evolved at an incredibly fast pace. Software pioneer Microsoft has extended the reach of its enterprise software solutions to the BI and analytics space by offering a wide variety of software applications to enterprises for performing BI and analytics capabilities based on different organizational needs and requirements. Aiming to help users with their BI software selection efforts, this research series explores the complete Microsoft BI product Read More

Oil and Gas: Upstream Data and Information Management Survey


Oil and gas companies have numerous information systems, each churning through vast amounts of data to support business decisions. Successful management of these information systems is not simply a case of keeping the systems running and providing suitable backup mechanisms. It also includes the adoption of professional data management practices. Download this report to learn about effective practices for addressing data management challenges.

data warehousing information center bi  and Gas: Upstream Data and Information Management Survey Oil and gas companies have numerous information systems, each churning through vast amounts of data to support business decisions. Successful management of these information systems is not simply a case of keeping the systems running and providing suitable backup mechanisms. It also includes the adoption of professional data management practices. Download this report to learn about effective practices for addressing data management challenges. Read More

Networks Valley Information Systems


Networks Valley, an Oracle Partner established in 1999, is a leading Information Technology consulting company based in Cairo, Egypt. Networks Valley contributes to the development of the Information Society in the Middle East region with plans to expand in North Africa market, as we already start to have client base in Libya, & some multinational Egyptian companies that work in Tunisia & Algeria.The vision of Networks Valley is to be the key for Information Technology to our clients. Networks Valley is an end-to-end provider of Oracle e-Business. Networks Valley offers broad capabilities to enable Implementation at very reasonable rates. There is a keen focus to satisfy clients through timely delivery of quality services. Networks Valley is a member in CIT (Chamber of Information Technology & Communications ) & Eitesal (Egyptian Information Telecommunications Electronics & Software Alliance). Networks Valley is also member in (The American Chamber of Commerce in Egypt) & The German-Arab Chamber of Industry and Commerce. In 2006 Networks Valley became Oracle Certified Partner In 2007 Networks Valley became Microsoft Certified Partner In 2008 Networks Valley became Certified Advantage Partner

data warehousing information center bi  CRM,Customization,Development,Enterprise Content Management (ECM),ERP,Financials,HR,Logistics,Manufacturing,Microsoft Dynamics,Oracle Applications ( E- Business Suite),Outsourcing,Siebel,Training Read More

10 Errors to Avoid When Commissioning a Data Center


Data center commissioning requires tight coordination between vendors, facilities, IT departments, engineers, the commissioning agent, and others. Managed properly, commissioning can deliver an unbiased evaluation of whether a new data center will succeed or not. Managed poorly, it can lead to problematic data center performance issues. Learn 10 common data center commissioning mistakes, and find out how to avoid them.

data warehousing information center bi  Avoid When Commissioning a Data Center 10 Errors to Avoid When Commissioning a Data Center If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. APC certified installation and commissioning of your solution ensures your equipment is configured for optimal performance, saving you time and money and extending the life of your hardware solution. Source : APC Resources Related to Avoid When Commissioning a Data Center : Data Center (Wikipedia) Read More

Social Media and Your Call Center: Three Lessons Every Call Center Manager Should Learn and Apply


Online services like Facebook and Twitter are rewriting the rules on customer service. Complaints that once would have stayed at the water cooler are now broadcast effortlessly by consumers. And because these comments are searchable and permanent, they are extraordinarily powerful. This paper presents three important lessons for every executive that oversees a call center. Download now to learn what they are and how to apply them.

data warehousing information center bi  call center,call center solutions,social media,virtual queuing,visual dialing,IVRs Read More