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Software Functionality Revealed in Detail
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 bi perspectives on data warehousing

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.

Get free sample report
Compare Software Solutions

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

Compare Now

Business Intelligence (BI) RFI / RFP Template

Reporting and Analysis, Analytics, Data Warehousing, Workflow, Data Integration, Support, and System Requirements  

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Business Intelligence: A Guide for Midsize Companies


Business intelligence (BI) is not a new concept. What’s new is that BI tools are now accessible for midsize companies. Managers can use BI to analyze complex information to support their decision-making processes, combining data from a variety of sources to get an integrated, 360-degree view of the company. Find out how to select the right BI software, the right vendor, and the right approach to implementing BI.

bi perspectives on data warehousing  conjunction with a commercial BI product suite that integrates with spreadsheet environments. Shouldn''t your organization be using business intelligence technology to help it run its business more intelligently? Michael A. Schiff Michael A. Schiff is the founder and principal analyst of MAS Strategies. He has over 30 years of experience in the information technology industry, providing tactical market intelligence and analysis in areas such as data warehousing and advanced decision support. Schiff earned Read More

Unlocking Hidden Value from Investments in SAP NetWeaver Business Warehouse


Extending the capabilities and value of SAP NetWeaver Business Warehouse is a concern for users. To improve data use and fact-based decision making, and reduce stranded spreadsheets, SAP users can choose a business intelligence (BI) software solution such as IBM Cognos 8, with budgeting, planning, and forecasting functions. Find out more about how you can improve your business performance management content with BI.

bi perspectives on data warehousing  IT Skills , SAP BI , SAP IT Resources , SAP Business Explorer , SAP Bex , Value of IBM Cognos 8 for SAP Customers , IBM Cognos Business Intelligence , IBM Cognos Planning Software Capabilities , SAP Business Explorer Infoqueries , Value of Data in Your SAP and Non-SAP Systems . Preface The architecture, capabilities, and value of IBM Cognos 8 for SAP customers is centered on embracing existing skills, knowledge, work and investments, enhancing existing SAP® investments while reducing IT backlogs, and, Read More

Business Intelligence Status Report


Spurred by government mandates for more business transparency, business intelligence has emerged to extract information from ERP systems. How has BI emerged? What does the terminology surrounding it mean, and what is its current state of affairs?

bi perspectives on data warehousing  resource planning (ERP) and BI (sometimes called analytics, which is specialized analytical software) are inseparable concepts, but they have taken different trajectories and evolved differently. ERP systems have positively transformed many enterprises'' business processes, yet many users feel oversold because ERP appears to inhibit access and lock up vital information. I In most traditional ERP systems operational activities are grouped together to form artificially created processes, which bear little Read More

Creating Competitive Advantage in Growing and Mid-sized Businesses with Business Intelligence


Business intelligence (BI) is not only an imperative for big companies. Growing and midsized organizations also require visibility into all aspects of the business for their day-to-day decision-making, with accurate, reliable, and up-to-date information. We outline the issues, business ramifications, and solutions for the BI requirements of growing companies.

bi perspectives on data warehousing  Benefits | Business Intelligence BI | Business Intelligence Books | Business Intelligence Companies | Business Intelligence Company | Business Intelligence Comparison | Business Intelligence Concepts | Business Intelligence Conference | Business Intelligence Consulting | Business Intelligence Definition | Business Intelligence Dashboards | Business Intelligence Framework | Business Intelligence Group | Business Intelligence Implementation | Business Intelligence Integration | Business Intelligence Read More

Every Angle for SAP: A Product Note


Hundreds—even thousands—of transactions could represent a great challenge when trying to analyze data and obtain results. Every Angle is a tool that can deliver SAP data analysis from every angle.

bi perspectives on data warehousing  used with all SAP BI solutions and/or other BI tools to leverage valuable analysis to the business user. Every Angle takes full advantage of an SAP deployment but performs under its own independent framework. By doing so, it doesn´t represent a burden to the SAP deployment.   Product Strategy and Trajectory   Since its inception, Every Angle Software Solutions BV has been working for the European SAP market for ten years and has gained a wealthy reputation. Clients like Continental, Railpro, Read More

Data Integration: Creating a Trustworthy Data Foundation for Business Intelligence


Organizations combine their historical data with current data from operational systems to satisfy business intelligence analysis and government reporting requirements. This paper discusses the importance of data integration and helps you identify key challenges of integrating data. It also provides an overview of data warehousing and its variations, as well as summarizes the benefits and approaches to integrating data.

bi perspectives on data warehousing  for Business Intelligence Organizations combine their historical data with current data from operational systems to satisfy business intelligence analysis and government reporting requirements. This paper discusses the importance of data integration and helps you identify key challenges of integrating data. It also provides an overview of data warehousing and its variations, as well as summarizes the benefits and approaches to integrating data. Read More

Single Sign-on (SSO): Truths and Myths


Technology products always seem to come out strong, and then wither under intense scrutiny. This was the case with single sign-on (SSO). However, any product driven by strong need will reinvent itself to address the problems it contains. With SSO, a number of myths have now been exploded. Find out why it may be time for you to evaluate SSO for your company. Myth #1: You can’t get true SSO.

bi perspectives on data warehousing  hopes and leaves behind bitterness before it evolves into the promising solution it can be. Single Sign-On (SSO) was introduced to security years ago along with distributed applications and infrastructures. It became necessary due to the disparate technologies in use; these technologies increased risk by multiplying the number of attack points, and strong security principles dictated the need for strong user account credentials. But SSO had its failures in the past. The question now is, can it be Read More

Addressing the Complexities of Remote Data Protection


As companies expand operations into new markets, the percentage of total corporate data in remote offices is increasing. Remote offices have unique backup and recovery requirements in order to support a wide range of applications, and to protect against a wide range of risk factors. Discover solutions that help organizations protect remote data and offer extensive data protection and recovery solutions for remote offices.

bi perspectives on data warehousing  impact the performance and availability of the applications to perform the backup. Your mission-critical applications require the highest degree of protection and availability. For these systems, you should look for a solution that limits the amount of data you might lose, as well as the amount of time it takes to recover when something goes wrong. Risks There are many risks that can threaten your remote data (see Figure 3). First, there is the simple and all-too-often case of someone losing a file or Read More

The Value of Big Data


As the use of big data grows, the need for data management will also grow. Many organizations already struggle to manage existing data. Big data adds complexity, which will only increase the challenge. This white paper looks at what big data is, the value of big data, and new data management capabilities and processes, required to capture the promised long-term value.

bi perspectives on data warehousing  Value of Big Data As the use of big data grows, the need for data management will also grow. Many organizations already struggle to manage existing data. Big data adds complexity, which will only increase the challenge. This white paper looks at what big data is, the value of big data, and new data management capabilities and processes, required to capture the promised long-term value. Read More

Data Mining with MicroStrategy: Using the BI Platform to Distribute Data Mining and Predictive Analytics to the Masses


Data mining and predictive analysis applications can help you make knowledge-driven decisions and improve efficiency. But the user adoption of these tools has been slow due to their lack of business intelligence (BI) functionality, proactive information distribution, robust security, and other necessities. Now there’s an integrated enterprise BI system that can deliver data mining and predictive analysis. Learn more.

bi perspectives on data warehousing  with MicroStrategy: Using the BI Platform to Distribute Data Mining and Predictive Analytics to the Masses Data mining and predictive analysis applications can help you make knowledge-driven decisions and improve efficiency. But the user adoption of these tools has been slow due to their lack of business intelligence (BI) functionality, proactive information distribution, robust security, and other necessities. Now there’s an integrated enterprise BI system that can deliver data mining and predictive Read More

Understanding the PCI Data Security Standard


The payment card industry data security standard (PCI DSS) defines a comprehensive set of requirements to enhance and enforce payment account data security in a proactive rather than passive way. These include security management, policies, procedures, network architectures, software design, and other protective measures. Get a better understanding of the PCC DSS and learn the costs and benefits of compliance.

bi perspectives on data warehousing  PCI SSC. Its primary responsibility is the formulation and maintenance of a set of standards called the Payment Card Industry Data Security Standard (PCI DSS) . In addition to credit and debit cards, prepaid, e-purse, automated teller machine (ATM) and point-of-sale (POS) cards are all subject to these standards. In its own words, the PCI Security Standards Council describes itself as an open global forum for the ongoing development, enhancement, storage, dissemination and implementation of security Read More

Meet PCI DSS Compliance Requirements for Test Data with Data Masking


Whether you’re working toward your first or your next payment card industry (PCI) data security standard (DSS) audit, you know compliance is measured on a sliding scale. But full compliance can’t be achieved with just one policy or technology. Using data masking, a technology that alters sensitive information while preserving realism, production data can be eliminated from testing and development environments. Learn more.

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Increasing Sales and Reducing Costs across the Supply Chain-Focusing on Data Quality and Master Data Management


Nearly half of all US companies have serious data quality issues. The problem is that most are not thinking about their business data as being valuable. But in reality data has become—in some cases—just as valuable as inventory. The solution to most organizational data challenges today is to combine a strong data quality program with a master data management (MDM) program, helping businesses leverage data as an asset.

bi perspectives on data warehousing  challenges today is to combine a strong data quality program with a master data management (MDM) program, helping businesses leverage data as an asset. Read More

Scalable Data Quality: A Seven-step Plan for Any Size Organization


Every record that fails to meet standards of quality can lead to lost revenue or unnecessary costs. A well-executed data quality initiative isn’t difficult, but it is crucial to getting maximum value out of your data. In small companies, for which every sales lead, order, or potential customer is valuable, poor data quality isn’t an option—implementing a thorough data quality solution is key to your success. Find out how.

bi perspectives on data warehousing  immediate needs and provides flexibility to meet changing business requirements. The Scope of the Problem &nbsp Undeliverable as Addressed Mail According to a recent study undertaken by PricewaterhouseCoopers and the United States Postal Service® (USPS) , on average, approximately 23.6% of all mail is incorrectly addressed and requires correction of some kind. An additional 2.7% is completely undeliverable. The USPS currently charges a minimum of $0.21 per mail piece for its address correction service. Read More

Implementing Energy-Efficient Data Centers


But in the white paper implementing energy-efficient data centers, you'll learn how to save money by using less electricitywhether your data cente...

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