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Help Desk for the Health Care Industry
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Documents related to » presenting technical data


Ask the Experts: Approaches to Data Mining ERP
From one of our readers comes this question:I am a student of IT Management; I have an ERP course and I am supposed to write an article to review new

presenting technical data  cubes lends itself to presenting information that is going to be statistically analyzed, based on collections of information from the ERP system. At the business level, which drives the technical level, information is analyzed to predict profitability, customer service, or safety. In a retail environment, one can look at the sales of a product by date range, store, city, province, etc. It’s essentially a report. The data can be saved in a cube so that one does not have to rerun the report. Now, one Read More...
info360: Our Panel of Experts
From March 21 to 24, 2011, Technology Evaluation Centers (TEC) will be at info360 in Washington, D.C. I will be teaming up with a panel of experts to discuss

presenting technical data  have the honor of presenting our session panelists: Ian Hersey Chief Technology Officer, Attensity To his role as Attensity CTO Ian Hersey brings more than 20 years of experience delivering innovative research technology into the commercial mainstream. He is responsible for providing the technical and strategic product vision to complement the company’s business vision, setting the tone and direction for Attensity’s technologies and business applications. Prior to Attensity, Mr. Hersey was vice 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

presenting technical data  Cleansing Projects , After presenting a case study “Supply Chain Data- Dont let it be your weakest link!''” with Alcon Laboratories at the TCU Global Supply Chain conference in April 2005 there were a flurry of questions from the attendees. While the presentation was mainly focused on the value of quality data in the supply chain and in todays automated mass sharing of information with internal and external customers, we had several questions including: Why is data important now, it has been around Read More...
Flexible Customer Data Integration Solution Adapts to Your Business Needs
Siperian''s master data management and customer data integration (CDI) solutions allow organizations to consolidate, manage, and customize customer-related data.

presenting technical data  addition to market penetration presenting a challenge to Siperian, data hubs built based on industry-specific needs may not be as advanced as those of Siperian''s competitors, and therefore might require more customization within user organizations. The focus on an organization''s CDI solutions within an MDM framework poses a potential risk, as MDM connotes the organization''s overall commitment to managing data and its relationships. Realistically, in many organizations this is not the case, as Read More...
Reflexis Announces StorePulse Module for IBM Watson
Reflexis Systems recently announced general availability of its StorePulse real-time task execution software interconnect module for IBM Watson. With the

presenting technical data  service restaurant (QSR) industries presenting to peers about their successful implementations and ROI realized after implementing Reflexis task management, labor scheduling, time and attendance (T&A), mobility, and real-time execution solutions. Read More...
Unified Data Management: A Collaboration of Data Disciplines and Business Strategies
In most organizations today, data are managed in isolated silos by independent teams using various data management tools for data quality, integration

presenting technical data  web content management software,database metadata,document metadata,information lifecycle management,metadata software,metadata definition,customer data integration,integration of data,metadata information,photo metadata,data integration services,data integration tools,business data integration,data quality analyst,legacy data integration Read More...
Demystifying Data Science as a Service (DaaS)
With advancements in technology, data science capability and competence is becoming a minimum entry requirement in areas which have not traditionally been

presenting technical data  data science, big data, analytics, data SaaS, data scientist, India, data as a service, real-time data, data analytics Read More...
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

presenting technical data  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 Read More...
Appliance Power: Crunching Data Warehousing Workloads Faster and Cheaper than Ever
Appliances are taking up permanent residence in the data warehouse (DW). The reason: they are preconfigured, support quick deployment, and accelerate online

presenting technical data  data warehouse model,data warehouse software,enterprise data warehouse,olap database,olap tools,data warehouse concepts,data warehouse schema,data warehouse system,data warehouse tools,data warehouse training,olap data warehouse,building a data warehouse,building the data warehouse,business intelligence olap,data warehouse data mart Read More...
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

presenting technical data  business data quality,customer data quality,data quality,data quality center,data quality control,data quality improvement,data quality analysis,data quality articles,data quality assessment 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

presenting technical data  big data,data management,analytics,SAP Read More...
New Data Protection Strategies
One of the greatest challenges facing organizations is the protection of corporate data. The issues complicating data protection are compounded by increased

presenting technical data  IBM,data protection,disaster recovery,disaster recovery plan,data protection manager,disaster recovery planning,backup disaster recovery,data disaster recovery,data protection system,disaster recovery software,continuous data protection,disaster recovery services,data protection services,disaster recovery systems,data disaster recovery plan Read More...
Distilling Data: The Importance of Data Quality in Business Intelligence
As an enterprise’s data grows in volume and complexity, a comprehensive data quality strategy is imperative to providing a reliable business intelligence

presenting technical data  Data: The Importance of Data Quality in Business Intelligence Originally Published - October 20, 2008 The zeal to get as much business data to the user as soon as possible often prevails over the establishment of processes that control the quality of data. Low data quality standards can lead to bad business decisions and missed opportunities. Even with a data warehouse that is well designed and equipped with the best tools for business intelligence (BI), users will encounter inefficiency and Read More...
Big Data Analytics: Profiling the Use of Analytical Platforms in User Organizations
While terabytes used to be synonymous with big data warehouses, now it’s petabytes, and the rate of growth in data volumes continues to escalate as

presenting technical data  big data analytics,about data mining,advanced analytic,advanced analytics,advanced analytics definition,advanced analytics techniques,advanced data analytics,analytic data,analytic database,analytic databases,analytical data,analytical database,analytical software,analytics,analytics business Read More...
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

presenting technical data  Evolution of a Real-time Data Warehouse The Evolution of a Real-time Data Warehouse Jorge Garcia - December 23, 2009 Understanding Real-time Systems Today, real time computing is everywhere, from customer information control systems (CICSs) to real-time data warehouse systems. Real-time systems have the ability to respond to user actions in a very short period of time. This computing behavior gives real-time systems special features such as instant interaction: users request information from the system Read More...

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