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Documents related to » control and automation maturity data


Evolution to Revolution: The Test Automation Maturity Curve
The evolution of test automation towards data-driven and key/action word frameworks reflects the realization that the process becomes more efficient if there is

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Managing Product Recalls to Reduce Risk and Minimize Cost
Food and beverage producers need to effectively address the impact of industry-specific requirements and legal mandates on their businesses. Since 2002, the

control and automation maturity data  customer orders, manage recipes, control inventory and plan production in an increasingly competitive environment, they must also deal with the myriad complexities resulting from increasing federal government regulations. Since the primary intent of the Public Health Security and Bioterrorism Preparedness Act of 2002 is to enable rapid response and containment in case of an emergency, the greatest legal impact has been felt in the critical process of handling product recalls. Importance of Being Read More
ITIL v3: Supporting the Evolution of IT Effectiveness for Improved IT Operations
IT is often characterized as distinct groups pursuing individual agendas and launching disconnected initiatives to increase operational efficiencies. To

control and automation maturity data  a single point of control for efficiency, agility and compliance. This enables you to reduce management costs, deploy services faster, reduce disruptions to the business, and strengthen security and compliance through continual policy enforcement. HP Change and Configuration Center also includes HP Change Control Management software. This solution leverages the discovery and mapping capabilities of HP Universal CMDB to help you effectively orchestrate change throughout the IT organization. You-ll be able Read More
Economic Benefits of PLM-enabled Collaboration
Many of today’s product lifecycle management (PLM)-enabling technologies allow complex information to be shared by dispersed teams of people. Product data

control and automation maturity data  a data vault. Flow control and task execution is performed in an asynchronous way using workflow and project management tools. These tools allow data to be routed to users and progress to be monitored. Synchronous or real-time collaboration enables users to view, work with 2D (e.g., specifications, drawings, documents, etc.) and 3D data (e.g., mechanical CAD models), and carry out interactive communications with each other in real-time. In addition, PLM-enabled collaborative solutions often support the Read More
Engineering Change Management 2.0: Better Business Decisions from Intelligent Change Management
Traditionally, change management in product development and engineering has been viewed as a way to control cost and improve efficiencies. But companies are

control and automation maturity data  as a way to control cost and improve efficiencies. The September 2005 Product Innovation Agenda Benchmark Report found that 61% of survey respondents report that they are acting on change management to reduce product costs. Another 50% indicated that their goal was to reduce product development cost. At this time, only 32% identified change management as a driver to improve revenue. In sharp contrast, research for this report found that 63% of respondents indicated shortening development lead times as Read More
Data Evolution: Why a Comprehensive Data Management Platform Supersedes the Data Integration Toolbox
Today’s organizations have incredible amounts of information to be managed, and in many cases it is quickly spiraling out of control. To address the emerging

control and automation maturity data  quickly spiraling out of control. To address the emerging issues around managing, governing, and using data, organizations have been acquiring quite a toolbox of data integration tools and technologies. One of the core drivers for these tools and technologies has been the ever-evolving world of the data warehouse. 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

control and automation maturity data  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 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 Read More
Data Quality Strategy: A Step-by-Step Approach
To realize the benefits of their investments in enterprise computing systems, organizations must have a detailed understanding of the quality of their data—how

control and automation maturity data  Quality Strategy: A Step-by-Step Approach To realize the benefits of their investments in enterprise computing systems, organizations must have a detailed understanding of the quality of their data—how to clean it and how to keep it clean. Those organizations that approach this issue strategically will be successful. But what goes into a data quality strategy? This paper from Business Objects, an SAP company, explores the strategy in the context of data quality. Read More
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

control and automation maturity 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. 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

control and automation maturity data  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 analytical processing (OLAP) queries against large, multidimensional data sets. Discover the core criteria you should use to evaluate DW appliances, including performance, functionality, flexibility, scalability, manageability, integration, and extensibility. 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

control and automation maturity data  to organizations to help control customer interactions related to sales, service, and customer relations. The Initiate Identity Hub software system focuses on CDI, enterprise master person index (EMPI), and entity resolution. It also leverages customer data in real time and enables organizations to find any data set, account, or transaction, based on person, household, or organization. The Initiate Identity Hub software also links duplicate and fragmented records within and across disparate data sources. 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

control and automation maturity data  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
Operationalizing the Buzz: Big Data 2013
The world of Big Data is maturing at a dramatic pace and supporting many of the project activities, information users and financial sponsors that were once the

control and automation maturity data  the Buzz: Big Data 2013 The world of Big Data is maturing at a dramatic pace and supporting many of the project activities, information users and financial sponsors that were once the domain of traditional structured data management projects. Research conducted by Enterprise Management Associates (EMA) and 9sight Consulting makes a clear case for the maturation of Big Data as a critical approach for innovative companies. The survey went beyond simple questions of strategy, adoption, and 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

control and automation maturity data  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, governance, and so on. In response to this situation, some organizations are adopting unified data management (UDM), a practice that holistically coordinates teams and integrates tools. This report can help your organization plan and execute effective UDM efforts. Read More
Big Data, Little Data, and Everything in Between—IBM SPSS Solutions Help You Bring Analytics to Everyone
Regardless of the type or scale of business data your users need to harness and analyze, they need a straightforward, visual solution that is easy to use on the

control and automation maturity data  Data, Little Data, and Everything in Between—IBM SPSS Solutions Help You Bring Analytics to Everyone Regardless of the type or scale of business data your users need to harness and analyze, they need a straightforward, visual solution that is easy to use on the front end and highly scalable on the back end. Fortunately, IBM SPSS solutions provide just such an ecosystem that can make different kinds of data stores—from Hadoop to those proverbial spreadsheets—useful sources of business insight and Read More

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