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Software Functionality Revealed in Detail
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 implementing data warehouse 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.

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)

Business intelligence (BI) and performance management applications enable real-time, interactive access, analysis, and manipulation of mission-critical corporate information. These applications provide users with valuable insights into key operating information to quickly identify business problems and opportunities. Users are able to access and leverage vast amounts of information to analyze relationships and understand trends that ultimately support business decisions. These tools prevent the potential loss of knowledge within the enterprise that results from massive information accumulation that is not readily accessible or in a usable form. It is an umbrella term that ties together other closely related data disciplines including data mining, statistical analysis, forecasting, and decision support. 

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Documents related to » implementing data warehouse bi

The Evolution of a Real-time Data Warehouse


Real-time data warehouses are common in some organizations. This article reviews the basic concepts of a real-time data warehouse and it will help you determine if your organization needs this type of IT solution.

implementing data warehouse bi  the technical difficulties of implementing a true real-time data warehouse, there are some advantages. It shortens information delivery times. It improves integration throughout the organization. It eases the analysis of future trends. Basic Principles to Consider With the growing popularity and increasing implementation of real-time data warehouses, it is important to consider some basic principles when considering a real-time data warehouse implementation. Data on Time, at the Right Time . The data Read More

A Road Map to Data Migration Success


Many significant business initiatives and large IT projects depend upon a successful data migration. But when migrated data is transformed for new uses, project teams encounter some very specific management and technical challenges. Minimizing the risk of these tricky migrations requires effective planning and scoping. Read up on the issues unique to data migration projects, and find out how to best approach them.

implementing data warehouse bi  processes that they are implementing. Allow time in your planning for changes to the mapping, business rules, and re-loads. It is not uncommon for there to be confusion during beta testing and implementation as to where errors originate. It''s all too easy for bad data to be blamed for every test error. What can you do as part of your planning to avoid this? Implement the migration with as much metadata and reconciliation as possible. Not only are you ensuring the integrity of your data, you are Read More

Customer Data Integration: A Primer


Customer data integration (CDI) involves consolidation of customer information for a centralized view of the customer experience. Implementing CDI within a customer relationship management initiative can help provide organizations with a successful framework to manage data on a continuous basis.

implementing data warehouse bi  should be considered when implementing master data management (MDM) for CRM within the organization. Finally, key vendors in the industry and their key product features will be identified. Defining Customer Data Integration Within CRM, CDI is the management and consolidation of customer information from across the organization. This includes, but is not limited to, information stored in call centers, sales and marketing departments, and accounts receivables and payables. CDI ensures that each department Read More

Four Critical Success Factors to Cleansing Data


Quality data in the supply chain is essential in when information is automated and shared with internal and external customers. Dirty data is a huge impediment to businesses. In this article, learn about the four critical success factors to clean data: 1- scope, 2- team, 3- process, and 4- technology.

implementing data warehouse bi  records. Unless you are implementing an ERP or CRM system, initial data cleansing efforts on transactional or historical data would be discouraged. How many integrations do you have that feed your master data to other systems (internal or external) Create a master list by system and data field name. Do you have a data warehouse, one central location for master data? Is now the time to make that move? Now identify the data owner and the business owners for each field. A data owner is the person that is Read More

BI State of the Market Report


IT departments rarely know as much about a business as the business people themselves. But business users still depend on IT to deliver answers related to the information that they receive. Learn how business intelligence (BI) 2.0—also known as collaborative BI—is helping business users create and modify their own reports, share and enrich information, and provide feedback to each other and to information producers.

implementing data warehouse bi  and we are currently implementing wiki technology in our intranet and extranet sites. The main benefit seems to be the stronger sense of community that we can nurture through technologies that are more interactive, less push. Digital Equals Data Leveraging all this online content requires more than spreadsheets or desktop applications. Business intelligence can help marketers produce better results by integrating data across systems, and delivering dimensional views of the information. BI can serve up Read More

To BI or not to BI


Nowadays a company should not even question whether it needs business intelligence (BI) or not. Those who do not have it yet should include it in their future strategies, while those who do have it should search for ways to make BI work at its full potential. You Don’t Have It Yet? Let's first analyze and understand why a company may not have BI: 1. BI is too expensive If this

implementing data warehouse bi  BI or not to BI Nowadays a company should not even question whether it needs business intelligence (BI) or not. Those who do not have it yet should include it in their future strategies, while those who do have it should search for ways to make BI work at its full potential. You Don’t Have It Yet? Let''s first analyze and understand why a company may not have BI: 1. BI is too expensive If this is what has been preventing you from acquiring BI, it’s not a valid reason. There are free BI tools, such as Read More

Business Intelligence Portal (BI Portal) : Business Intelligence (BI) Competitor Analysis Report


This business intelligence (BI) knowledge base covers a full range of BI functionality. BI applications enable real time, interactive access, analysis, and manipulation of mission-critical corporate information. BI users are able to access and leverage vast amounts of information to analyze relationships and understand trends that support business decisions. This knowledge base covers everything from data mining to analytics, querying, reporting, workflow, and in-depth analysis.

implementing data warehouse bi  Intelligence Portal (BI Portal) : Business Intelligence (BI) Competitor Analysis Report This business intelligence (BI) knowledge base covers a full range of BI functionality. BI applications enable real time, interactive access, analysis, and manipulation of mission-critical corporate information. BI users are able to access and leverage vast amounts of information to analyze relationships and understand trends that support business decisions. This knowledge base covers everything from data Read More

Warehouse Management Systems: Pie in the Sky or Floating Bakery?Part Two: The Pareto Principle, Processes, and People: Assessing Your Warehouse Management System Needs


To ensure your warehouse management system is implemented as painlessly as possible, you must assess your warehouse situation before you decide on a warehouse solution. Using the Pareto Principle, where a minority of inputs yields the majority results; examining your processes; evaluating your personnel; monitoring the progress of implementation; and testing are the best ways to ensure both a successful launch and long term return on investment.

implementing data warehouse bi  to receive merchandise. By implementing a day''s-work-in-a-day strategy, we received all vendor discounts and eliminated the AP department from performing tasks that should be performed by warehouse personnel. Once you document how these processes work, ask your people to come to the conference room and explain all of the reasons why they don''t follow the processes the way they are documented. You are going to find out some interesting things about your processes, your customers, your vendors, and your Read More

Master Data Management and Accurate Data Matching


Have you ever received a call from your existing long-distance phone company asking you to switch to its service and wondered why they are calling? Chances are the integrity of its data is so poor that the company has no idea who many of its customers are. The fact is, many businesses suffer from this same problem. The solution: implement a master data management (MDM) system that uses an accurate data matching process.

implementing data warehouse bi  Data Management and Accurate Data Matching Have you ever received a call from your existing long-distance phone company asking you to switch to its service and wondered why they are calling? Chances are the integrity of its data is so poor that the company has no idea who many of its customers are. The fact is, many businesses suffer from this same problem. The solution: implement a master data management (MDM) system that uses an accurate data matching process. Read More

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.

implementing data warehouse bi  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 Read More

Warehouse Management Systems: Pie in the Sky or Floating Bakery? Part One: Myths of the Warehouse Management Systems and Implementation


When searching for a warehouse management system (WMS), a number of myths surface. "Huge staff reductions", "quick and easy implementation", and "fast and big" returns on investment are common promises. These combined with the enticing "bells and whistles" of a system can ultimately turn an eager customer into a patient suffering from confusion or at the very least disorientation. Knowing the stories behind the myths and determining what your warehouse needs are can lead to a profitable investment.

implementing data warehouse bi  with several different companies'' implementing WMS systems and have yet to see someone properly implement a system in less than a year. Obviously these were larger warehouses, but this was even the case for ones that were 30,000 square feet with fifteen people. The problem was not that the systems were too complex, but that these companies had problems that needed to be addressed prior to going live on the system. Process failures are the result of a company''s culture and not the result of an archaic 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.

implementing data warehouse bi  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. Read More

Agile Data Masking: Toward a More Secure and Agile Enterprise


Data masking has long been a key component of enterprise data security strategies. However, legacy masking tools could not deliver secure data, undermining their impact. This white paper explores how data as a service can deliver on the promise of masking, while increasing organizational flexibility and agility.

implementing data warehouse bi  Data Masking: Toward a More Secure and Agile Enterprise Data masking has long been a key component of enterprise data security strategies. However, legacy masking tools could not deliver secure data, undermining their impact. This white paper explores how data as a service can deliver on the promise of masking, while increasing organizational flexibility and agility. Read More

Five BI Success Factors for the Midsize Organization: Tactical Guidelines for Effective BI Deployment


Midsize businesses feel the most pressure to boost revenue and increase profits—and have smaller margins for error. Achieving your goals requires making smart, timely decisions that are backed by solid data. With a business intelligence (BI) solution, you can make timely informed decisions and improve productivity, while maximizing value and return. Find out about the five success factors for implementing a BI solution.

implementing data warehouse bi  five success factors for implementing a BI solution. Read More

The Importance of a Single Product for Data Quality and Data Integration


Companies are fighting a constant battle to integrate business data and content while managing data quality. Data quality serves as the foundation for business intelligence (BI), enterprise resource planning (ERP), and customer relationship management (CRM) projects. Learn more about software that unifies leading data quality and integration solutions—helping your organization to move, transform, and improve its data.

implementing data warehouse bi  Importance of a Single Product for Data Quality and Data Integration Companies are fighting a constant battle to integrate business data and content while managing data quality. Data quality serves as the foundation for business intelligence (BI), enterprise resource planning (ERP), and customer relationship management (CRM) projects. Learn more about software that unifies leading data quality and integration solutions—helping your organization to move, transform, and improve its data. Read More