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Digital Dashboard Tip Sheet
This tip sheet lists some of the general principles you should follow when creating an information dashboard for your company. These include sticking to actionable information, providing context for that information, and arranging everything to fit in a one-page display.
Digital Dashboard Tip Sheet Digital Dashboard Tip Sheet Source: Unstoppable Software, Inc. Document Type: White Paper Description: This tip sheet lists some of the general principles you should follow when creating an information dashboard for your company. These include sticking to actionable information, providing context for that information, and arranging everything to fit in a one-page display. Digital Dashboard Tip Sheet style= border-width:0px; /> comments powered by Disqus Related Topics:
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.
Four Critical Success Factors to Cleansing Data Four Critical Success Factors to Cleansing Data Source: PM ATLAS Business Group, LLC Document Type: White Paper Description: 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. Four Critical Success Factors to
Business Performance Management
Business performance management (BPM) enables organizations to translate strategies into plans, monitor execution, and provide insight needed to manage and improve financial and operational perf...
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Documents related to
Developing a Universal Approach to Cleansing Customer and Product Data
Data quality has always been an important issue for companies, and today it’s even more so. But are you up-to-date on current industry problems concerning data quality? Do you know how to address quality problems with customer, product, and other types of corporate data? Discover how data cleansing tools help improve data constancy and accuracy, and find out why you need an enterprise-wide approach to data management.
quality metric Graphical and dashboard reports (using Crystal Reports®) that provide summary profiles, frequency distributions, and referential integrity information An open metadata repository that allows the tool to be used by custom-built applications Scheduling of profiling tasks to run any time without operator intervention The knowledge gained from Data Insight XI concerning existing data quality issues can be used to develop a detailed strategy for cleansing and correcting data defects using
Six Steps to Manage Data Quality with SQL Server Integration Services
Without data that is reliable, accurate, and updated, organizations can’t confidently distribute that data across the enterprise, leading to bad business decisions. Faulty data also hinders the successful integration of data from a variety of data sources. But with a sound data quality methodology in place, you can integrate data while improving its quality and facilitate a master data management application—at low cost.
Six Steps to Manage Data Quality with SQL Server Integration Services Six Steps to Manage Data Quality with SQL Server Integration Services Source: Melissa Data Document Type: White Paper Description: Without data that is reliable, accurate, and updated, organizations can’t confidently distribute that data across the enterprise, leading to bad business decisions. Faulty data also hinders the successful integration of data from a variety of data sources. But with a sound data quality methodology in
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.
The Value of Big Data The Value of Big Data Source: SAP Document Type: White Paper Description: 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. The Value of Big Data
Spend Data Warehouse “On Steroids”
It’s only lately that people have been questioning the value of information they’re able to garner from within “spend data” warehouses. Why can t we leverage traditional tools to give the sourcing and purchasing community what they want? To understand the limitations of traditional data-cleansing technology, and why spend data necessitates special algorithms, we need to start with the basics.
Spend Data Warehouse “On Steroids” Spend Data Warehouse “On Steroids” Source: Zycus Document Type: White Paper Description: It’s only lately that people have been questioning the value of information they’re able to garner from within “spend data” warehouses. Why can t we leverage traditional tools to give the sourcing and purchasing community what they want? To understand the limitations of traditional data-cleansing technology, and why spend data necessitates special algorithms, we need
Vitria OI 4: Data for Today and for the Future
Vitria is a long-time player in the provisioning of software solutions for analyzing information in real time. Founded in 1994 by two entrepreneurs—Drs. JoMei Chang and Dale Skeen, Vitria’s current chief executive officer (CEO) and chief technology officer (CTO), respectively, Vitria has evolved its operational intelligence and business process management (BPM) applications into mature and stable
Vitria OI 4: Data for Today and for the Future » The TEC Blog TEC Blog TEC Home About TEC Contact Us About the Bloggers Follow TEC on Twitter RSS Discussing Enterprise Software and Selection --> Fast, Accurate Software Evaluations TEC helps enterprises evaluate and select software solutions that meet their exacting needs by empowering purchasers with the tools, research, and expertise to make an ideal decision. Your software selection starts here. Learn more
The Data Explosion
RFID and wireless usage will drive up data transactions by ten fold over the next few years. It is likely that a significant readdressing of the infrastructure will be required--in the enterprise and the global bandwidth.
The Data Explosion The Data Explosion Ann Grackin - October 20, 2004 Read Comments Introduction Traffic on the World Wide Web continues to grow. Traffic on your S mall S mart F ast devices continues to grow. Ok, I admit it. I bought the cell phone that takes pictures. I didn t know if it was useful; but being a technophile, I went for it. And rapidly it all came to me! I tried on a new cool jacket ... I crooned over it ... but for that much money, I wasn t sure. Should I really buy this? Enter the pic in
Meeting the Challenges of Product Traceability with Automated Data Collection
An effective traceability system involves determining which product and manufacturing process attributes to collect and maintain—and deciding when during the manufacturing process to begin collecting those attributes. Do you begin with raw material attributes from the supplier, at inspection, at assembly, at shipping? Explore the many facets of meeting product traceability challenges using automated data collection.
using highly visual, personalized dashboards and reports. Radley’s Productivity Monitor provides graphical displays of your key performance metrics plus real-time alerts and displays event data from x/DC or your other key applications. Product traceability is a requirement for many products, and the list grows longer every day. Having a place to store traceability data is straightforward, but the collection of that data is an enormous task that is usually overlooked until too late. By integrating
Data Migration Management: A Methodology to Sustaining Data Integrity for Going Live and Beyond
For many new system deployments, data migration is one of the last priorities. Data migration is often viewed as simply transferring data between systems, yet the business impact can be significant and detrimental to business continuity when proper data management is not applied. By embracing the five phases of a data migration management methodology outlined in this paper, you can deliver a new system with quality data.
File Management, Dashboard Related Industries: Industry Independent Related Keywords: data migration, data migration management, data migration tools, data migration software, data migration plan, data migration tool, data migration services, data migration best practices, data migration process, data migration testing, crm data migration manager, data migration manager, data migration plan template, sql server data migration, legacy data migration,
Captured by Data
The benefits case for enterprise asset management (EAM) has been used to justify huge sums in EAM investment. But to understand this reasoning, it is necessary to explore how asset data can be used to further the aims of maintenance.
Captured by Data Captured by Data Daryl Mather - August 23, 2006 Read Comments Enterprise Asset Management Systems and the Aims of Modern Maintenance Since the late 1980s, enterprise asset management (EAM) vendors throughout the world have pitched their products based partly on the ability to capture, manipulate, and analyze historical failure data. Part of the stated benefits case is often the ability to highlight the causes for poor performing assets, provide the volume and quality of information for
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