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Documents related to » data driven decision making


The ASP Decision
The ASP model is the latest in a long line of silver bullets that are supposed to simplify the delivery of technology’s benefits to the business world. This article provides some simple guidelines for determining if you should consider the ASP model along with thoughts on selecting an ASP.

DATA DRIVEN DECISION MAKING: financial analysis of a data center relocation for a major brokerage house, an analysis of the data center hardware and software contract portfolio for a large Midwest healthcare, the negotiation of a multi-year hardware break/fix contract for a large Northeast insurance company, and the development of an application development services agreement for a Northeast financial services company. Previously, Mr. Hennigan spent over ten years in senior management positions in the Information Technology
12/6/2000

In Search of Clarity: Unraveling the Complexities of Executive Decision Making
In Search of Clarity: Unraveling the Complexities of Executive Decision Making. Download Free Technology Analysis White Papers Linked to Decision Making. Decision making is at the core of all business activity, as executives set strategy and manage operations by weighing a vast array of factors to arrive at the desired balance of risk and reward. But enormous growth in a company’s size and operations adds complexity to decision-making processes. Learn about the five ingredients of good decision making, according to the responses of 154 executives in a global survey.

DATA DRIVEN DECISION MAKING: include the following: Poor data leads to poor decisions. By far the most important input into decision-making identified by surveyed executives is good data. As one expert interviewed for this report remarks, “You cannot make proper decisions without proper information.” But the timeliness and quality of this information leaves much to be desired. Less than one in ten executives in the survey receive information when they need it, and 46% assert that wading through huge volumes of data impedes
2/20/2009 4:05:00 PM

The Complex Handling of Complexity in Decision Support Systems » The TEC Blog
behavior; and managing big data volumes. Level of Complexity The Fact: Business processes are a not just a static set of steps to follow, rather they often change according to new constrains, or needs for improvement. As a consequence, almost every decision-making process has to deal with increasing levels of complexity derived from incremental modifications or functional adds to business models. Often, complexity increases because business processes tend to change, grow, and evolve, not the opposite.

DATA DRIVEN DECISION MAKING: complexity, Decision Support Systems, DSS, TEC, Technology Evaluation, Technology Evaluation Centers, Technology Evaluation Centers Inc., blog, analyst, enterprise software, decision support.
09-04-2010

Complexity, Decision Making, and Big Data
The technology market is giving significant attention to big data and analytics as a way to provide insight for decision support, but how far along is the adoption of these technologies across manufacturing organizations? This white paper looks at the results of a 2013 survey by Aberdeen examining the analytics and big data activities of manufacturers, Including time-sensitive, complex decision making and decision making challenges and capabilities.

DATA DRIVEN DECISION MAKING: Decision Making, and Big Data Complexity, Decision Making, and Big Data Source: SAP Document Type: White Paper Description: The technology market is giving significant attention to big data and analytics as a way to provide insight for decision support, but how far along is the adoption of these technologies across manufacturing organizations? This white paper looks at the results of a 2013 survey by Aberdeen examining the analytics and big data activities of manufacturers, Including time-sensitive,
8/8/2013 10:07:00 AM

Public Sector Business Analytics: The Path to Better Decision Making and Agility
Analytics has moved from the specialty of a dedicated few to a necessity for groups of business professionals to do their job. This white paper considers the use of analytics and business intelligence (BI) for improving decision making in public sector organizations. It also examines the benefits of prebuilt analytic applications for achieving this objective across many functions.

DATA DRIVEN DECISION MAKING: Three Keys to Better Data-driven Decisions: What You Should Know... Right Now Operational Guide to Implementing Lean in Distribution Acronym-Related White Papers: Business Intelligence (BI) |  Customer Relationship Management (CRM) |  Enterprise Resource Planning (ERP) |  Human Capital Management (HCM) |  Information Technology (IT) |  Key Performance Indicators (KPIs) |  Return on Investment (ROI) |  Software as a Service (SaaS) |  Total Cost of Ownership (TCO)
8/8/2011 4:52:00 PM

How to Use Data Management Successfully
Find out in the white paper master data management: extracting value from your most important intangible asset.

DATA DRIVEN DECISION MAKING: How to Use Data Management Successfully How to Use Data Management Successfully Did you know that effective master data management (MDM) is a critical component in an efficient, successful business? With the amount of data in a typical organization escalating dramatically, data management has become your most important intangible asset . If you aren t managing your master data effectively, you could be opening the door to a host of problems: Part of your company is doing business with a client or account,
6/23/2009

Sole-sourcing BI from Your ERP Vendor: IT Convenience or Strategic Business Decision?
Choose one that fits your individual need in relation to sole-sourcing BI from your ERP vendor.Free download! Sole-sourcing business intelligence (BI) software from enterprise resource planning (ERP) vendors is an alluring option for many companies. But in addition to the benefits, there are drawbacks. A study of 100 enterprises from the United States and the European Union that have deployed BI and ERP from the same vendor investigates whether customers are experiencing what sole-sourcing promised to deliver. Learn more.

DATA DRIVEN DECISION MAKING: majority of cases, unstructured data extracts used for further analysis and formatting in spreadsheets are forced upon business users because BI systems sole-sourced from ERP vendors are not able to respond to rapidly-changing information delivery requirements in a timely fashion. Hidden Costs of BI/ERP sole-source procurement decisions   Like much of the IT projects, sole-sourced BI deployments tend to be behind schedule and over budget Unfortunately, it is not uncommon for an IT project to be over
10/8/2009 1:58:00 PM

Freeing Six Sigma from the “Data Shuffle”
Paying skilled professionals to massage, scrub, and manipulate data is a huge waste of valuable resources. And while having clean data is essential to driving Six Sigma projects, the act of getting that data adds absolutely no business value. That’s why organizations that focus first on making accurate, actionable data available in real time have more effective Six Sigma programs.

DATA DRIVEN DECISION MAKING: massage, scrub, and manipulate data is a huge waste of valuable resources. And while having clean data is essential to driving Six Sigma projects, the act of getting that data adds absolutely no business value. That’s why organizations that focus first on making accurate, actionable data available in real time have more effective Six Sigma programs. Freeing Six Sigma from the “Data Shuffle” style= border-width:0px; />   comments powered by Disqus Related Topics:   Business Intelligence and Data
4/25/2007 10:50:00 AM

A Road Map to Better Data-driven Decisions: Straightforward Directions for Improving Tactical and Strategic Decision Making
Small or midsize businesses need powerful yet affordable analytics, business intelligence (BI), and mobile functionality— to get the information required for making better business decisions. You need trustworthy data from your enterprise resource planning (ERP) system, to derive insights and deliver information when and where your employees need it. For a road map for better data­driven decisions, read this report.

DATA DRIVEN DECISION MAKING: decisions. You need trustworthy data from your enterprise resource planning (ERP) system, to derive insights and deliver information when and where your employees need it. For a road map for better data­driven decisions, read this report. A Road Map to Better Data-driven Decisions: Straightforward Directions for Improving Tactical and Strategic Decision Making style= border-width:0px; />   comments powered by Disqus Related Topics:   Business Intelligence and Data Management Related Industries:  
2/15/2013 1:53:00 PM

Evoke Software Releases Axio Data Integration Product
Evoke Software Corporation has announced the release of Axio™, an e-business integration product designed to web-enable multiple different data sources into a unified view of a business. The product has a very intriguing method of metadata scanning, and should have significant market impact.

DATA DRIVEN DECISION MAKING: Evoke Software Releases Axio Data Integration Product Evoke Software Releases Axio Data Integration Product M. Reed - June 27, 2000 Read Comments M. Reed - June 27, 2000 Event Summary Evoke Software has created a new product based on their existing Migration Architect product. It will be known as Axio and is designed to provide rapid e-business integration with existing corporate operational systems, new e-commerce applications, customer relationship management, and/or data warehousing. Axio is designed
6/27/2000

Data Quality Trends and Adoption
While much of the interest in data quality (DQ) solutions had focused on avoiding failure of data management-related initiatives, organizations now look to DQ efforts to improve operational efficiencies, reduce wasted costs, optimize critical business processes, provide data transparency, and improve customer experiences. Read what DQ purchase and usage trends across UK and US companies reveal about DQ goals and drivers.

DATA DRIVEN DECISION MAKING: Data Quality Trends and Adoption Data Quality Trends and Adoption Source: SAP Document Type: White Paper Description: While much of the interest in data quality (DQ) solutions had focused on avoiding failure of data management-related initiatives, organizations now look to DQ efforts to improve operational efficiencies, reduce wasted costs, optimize critical business processes, provide data transparency, and improve customer experiences. Read what DQ purchase and usage trends across UK and US companies
3/22/2011 9:46:00 AM


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