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BI Software Implementation Success: The Human Factor
We are easily convinced that having the right business intelligence (BI) application will help us achieve total control over our business and increase the

data bi tools implementation  blend between applications, between data and services, that can set a BI software solution on the road to success. Using a BI application doesn’t mean collecting data; it means going further to manage and deliver the right information to the right people. And people are key to understanding how that data ought to be managed and used. BI and the human factor In his post Business Analytics—Nonsense or Prudence? , Gary Cokins talks about leadership, decision rights, and factors that contribute to Read More
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 pro...
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Documents related to » data bi tools implementation


The 'Joy' Of Enterprise Systems Implementations Part 2: Implementation Key Success Factors
Enterprise systems, in fact, are devised to operate by codifying a set of business processes and employees have to learn the whys, wheres, and whos of the

data bi tools implementation  most mundane tasks like data capturing/cleansing, which were contractually assigned to the customer's team and blatantly shirked by these. The consultants' thinking has been that the overtime work was a lesser evil than the ensuing finger pointing in case of a missed go live' deadline and the budget overrun. One should only imagine the fate of the live system in the hands of highly indifferent end users after consultant's departure. Therefore, enterprises that hire consultants/system integrators for an Read More
Case Study: Community College Embarks on Financial Reporting System Implementation
The Nova Scotia Community College (NSCC) implemented Business Objects to create a financial reporting system that would run in real time, as opposed to taking

data bi tools implementation  pulling data from a data warehouse, or using reporting or other features of business intelligence (BI) on top of an existing system, the technical specifications must be identified. Also, the importance of having a development and test environment to ensure the continuous development of features that can meet the changing needs of end users should not be overlooked. The testing environment can also ease the transition to newer versions of BI and reporting tools. Testing can help organizations identify Read More
Deploying Lean Principles to ERP Implementation Projects
The competitive environment that both Manufacturers and Distributors alike have experienced in recent years in the era of Globalization, Currency Fluctuation

data bi tools implementation  Through the use of data collection devices, you can account for time spent “on the clock” and nonproductive time spent while a work-order is in queue. This way, non-productive time no longer figures as a basis for calculating direct labor. Finally, as ERP itself evolves with the use of BI tools, along with lean techniques and philosophies such as lean pull-production principles, you will achieve business gains as you introduce JIT (just-in-time), resulting in greater capacity to monitor inventories, Read More
The Challenges of a Business Intelligence Implementation: A Case Study
The University of Illinois provides a good example of extensive integration of its business intelligence (BI) solution and data warehousing environment with its

data bi tools implementation  DS group developed the data warehousing, reporting, and BI structure as an application layer on top of the ERP system to identify the required data needed from the system. By identifying the reporting and analysis needs in parallel with the ERP system, the DS group was able to identify the requirements that would later be transferred to help in vendor selection. Although the data warehouse was being built simultaneously, application layer development required the tools of a third party vendor. With this Read More
Overall Approach to Data Quality ROI
Data quality is an elusive subject that can defy measurement and yet be critical enough to derail any single IT project, strategic initiative, or even a company

data bi tools implementation  Approach to Data Quality ROI Data quality is an elusive subject that can defy measurement and yet be critical enough to derail any single IT project, strategic initiative, or even a company. Of the many benefits that can accrue from improving the data quality of an organization, companies must choose which to measure and how to get the return on investment (ROI)—in hard dollars. Read this paper to garner an overall approach to data quality ROI. 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

data bi tools implementation  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
Four Ways to Botch Your ERP Implementation Process
Here are four worst practices that can contribute to the failure of an enterprise resource planning implementation—or the implementation of any other enterprise

data bi tools implementation  work routine documentation, modeling data migration to make sure processes are well documented and that they will work. Testing During the testing phase, the consultant and implementation team will tie all of the processes together and test them to make sure they will work. One way to do this is to run several days of the company’s transactions through the system, end to end, in a controlled business simulation environment. Rollout After mapping, implementation-definition, and testing are completed, it Read More
Data Quality: A Survival Guide for Marketing
Even with the finest marketing organizations, the success of marketing comes down to the data. Ensuring data quality can be a significant challenge

data bi tools implementation  to the data. Ensuring data quality can be a significant challenge, particularly when you have thousands or even millions of prospect records in your CRM system and you are trying to target the right prospect. Data quality, data integration, and other functions of enterprise information management (EIM) are crucial to this endeavor. Read more. Read More
CMMS/EAM Implementation Planning Tips
Creating an efficient centralized maintenance and operations program is made easier if you start with the right planning. This article addresses a tactical view

data bi tools implementation  steps,developement,tips,Tero,CMMS,implementation Read More
Best Practices for ERP Implementation
Is your organization just beginning an enterprise resource planning (ERP) project, in mid-installation, or trying to recover from a failed or stalled

data bi tools implementation  ERP,enterprise resource planning,Panorama Consulting Solutions,ERP implementation,key performance indicators (KPI),data migration,Epicor 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

data bi tools implementation  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
Implementation Brief: SpectraSite
SpectraSite is in the business of making wireless and broadcast communications pervasive. One process it was looking to improve, however, was its in-building

data bi tools implementation   Read More
Microsoft Dynamics NAV Rapid Implementation Methodology
The Microsoft Dynamics NAV Rapid Implementation Methodology (RIM) automates standard processes, speeds up implementation time, and drives the sharing of best

data bi tools implementation   Read More
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

data bi tools implementation  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. Read More

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