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Sales Force Automation (SFA)
Sales Force Automation (SFA)
Sales Force Automation (SFA) systems help sales and marketing teams with functions related to taking orders, generating proposals or quotes, managing territories, managing partners, and maintaining...
 

 data advancing in automation maturity

PPM for Professional Services Automation RFI/RFP Template

Portfolio and Project Management, Resource Planning and Scheduling, Opportunity, Contact, and Contract Management, Time and Expense Management, Financial Management, Budgeting, Costing, and Billing... Get this template

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Sales Force Automation (SFA)
Sales Force Automation (SFA)
Sales Force Automation (SFA) systems help sales and marketing teams with functions related to taking orders, generating proposals or quotes, managing territories, managing partners, and maintaining...

Documents related to » data advancing in automation maturity

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 less code to develop and maintain. Instead of taking twenty years to evolve towards efficiency, you can take a revolutionary leap with a code-free approach that makes it easier to implement, manage, and maintain automated tests.

data advancing in automation maturity  Test Management Automation | Data Advancing in Automation Maturity | Data Automation Maturity Model | Data Phase Brings Automation | Data Build Release Automation Maturity | Data Automation Maturity Framework | Data Choosing a Test Automation | Data Describes Automation Maturity | Data Datacenter Automation Accelerating | Data Program for Implementing Automation | Data Test Automation Maturity Strategy | Data Increasing Automation Maturity | Data Automation Maturity Example-based | Data Customer Requires Read More

Analytics Leader Voices Its Opinions on S&OP State of Affairs


Today’s retail companies are realizing the importance of creating an optimal balance between supply and demand, with a focus on sensing and shaping demand rather than trying to match demand to existing supply. Learn about the newest solutions and offerings from SAS for the retail industry and follow a question and answer session on the state of affairs on S&OP with TEC analyst P.J. Jakovljevic and Charles Chase from SAS.

data advancing in automation maturity  on demand and the data and analytics that support the process. This new-generation S&OP also lends itself to a reemergence of inventory optimization (IO) and something new called, “supply shaping.” We now can implement “Multi-echelon” inventory optimization along with “What If’ analysis to shape demand. Q3. Could you please expand on the concept of Multi-echelon Inventory Optimization (MEIO) and its relation to S&OP?   A3. MEIO allows companies to balance inventory simultaneously across compl Read More

Running and Optimizing IT: A Best-practice Approach


IT has long been one of the best ways to address business challenges. Yet significant obstacles at the level of IT infrastructure stand in the way. Siloed IT operations and rigid IT management processes can impede business agility. When IT partners with the business to act less as a technology provider and more as a service provider, business objectives can be achieved more efficiently and cost-effectively. Find out how.

data advancing in automation maturity  of IDC Information and Data - Any IDC information that is to be used in advertising, press releases, or promotional materials requires prior written approval from the appropriate IDC Vice President or Country Manager. A draft of the proposed document should accompany any such request. IDC reserves the right to deny approval of external usage for any reason. Copyright 2008 IDC. Reproduction without written permission is completely forbidden. Searches related to Running and Optimizing IT: A Best-practice Ap Read More

In-memory Analytics: Leveraging Emerging Technologies for Business Intelligence


Traditional analytic tools run queries against a data warehouse (DW) with user queries being processed against the data stored on relatively slow hard drives. In-memory analytics leverages a significantly more efficient approach where all the data is loaded into memory. This results in dramatic improvements in query response time and end-user experience. Find out how in-memory analytics can help your organization.

data advancing in automation maturity  run queries against a data warehouse (DW) with user queries being processed against the data stored on relatively slow hard drives. In-memory analytics leverages a significantly more efficient approach where all the data is loaded into memory. This results in dramatic improvements in query response time and end-user experience. Find out how in-memory analytics can help your organization. Read More

Data Center Automation


With the increasing complexity of the data center and its dependent systems, data center automation (DCA) is becoming a necessity. To replace the costly and inefficient human aspect of managing the data center, IT departments must adopt DCA solutions. Combined with utility-based computing architectures, these solutions can provide greater dynamics in the environment and facilitate speed of response to market demands.

data advancing in automation maturity  increasing complexity of the data center and its dependent systems, data center automation (DCA) is becoming a necessity. To replace the costly and inefficient human aspect of managing the data center, IT departments must adopt DCA solutions. Combined with utility-based computing architectures, these solutions can provide greater dynamics in the environment and facilitate speed of response to market demands. 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, 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.

data advancing in automation maturity  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. Read More

Data Migration Best Practices


Large-scale data migrations can be challenging, but with the appropriate planning—and through careful execution of that plan—organizations can greatly reduce the risks and costs associated with these projects. This paper offers a handy checklist of issues to consider before, during, and after migration.

data advancing in automation maturity  Migration Best Practices Large-scale data migrations can be challenging, but with the appropriate planning—and through careful execution of that plan—organizations can greatly reduce the risks and costs associated with these projects. This paper offers a handy checklist of issues to consider before, during, and after migration. Read More

An Architect's Evaluation of Form and Function—the Dimensional Data Model


A detailed assessment and evaluation of data warehouse system functionality and how it applies to the dimensional data model using tools that the architect works with.

data advancing in automation maturity  Form and Function—the Dimensional Data Model A detailed assessment and evaluation of data warehouse system functionality and how it applies to the dimensional data model using tools that the architect works with. Read More

Managing Information in the Enterprise: Perspectives for Business Leaders


Turning piles of data into timely, actionable information dominates business and IT agendas. This new focus means companies must think strategically about information management in order to contain costs and retain their competitive advantage. It also means a greater emphasis on processes and tools used to assure data quality. Discover what business and IT executives are doing to address these data management issues.

data advancing in automation maturity  Leaders Turning piles of data into timely, actionable information dominates business and IT agendas. This new focus means companies must think strategically about information management in order to contain costs and retain their competitive advantage. It also means a greater emphasis on processes and tools used to assure data quality. Discover what business and IT executives are doing to address these data management issues. Read More

Data Masking: Strengthening Data Privacy and Security


Many business activities require access to real production data, but there are just as many that don’t. Data masking secures enterprise data by eliminating sensitive information, while maintaining data realism and integrity. Many Fortune 500 companies have already integrated data masking technology into their payment card industry (PCI) data security standard (DSS) and other compliance programs—and so can you.

data advancing in automation maturity  Masking: Strengthening Data Privacy and Security Many business activities require access to real production data, but there are just as many that don’t. Data masking secures enterprise data by eliminating sensitive information, while maintaining data realism and integrity. Many Fortune 500 companies have already integrated data masking technology into their payment card industry (PCI) data security standard (DSS) and other compliance programs—and so can you. 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. 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.

data advancing in automation maturity  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

Automation Anywhere’s Cumulus Uses Social Collaboration for Process Automation


Automation Anywhere, a provider of automation software, recently announced the availability of Automation Anywhere Cumulus, possibly the first social enterprise process automation solution on the market. The tool helps businesses identify and prioritize task automation by tapping into the collective wisdom of their user community. Designed to use social collaboration to quickly determine return on

data advancing in automation maturity  the extraction of essential data from electronic invoices could help him/her process them faster. Impressive are built-in tools that point specifically to value achieved through task automation—calculating hours and dollars that could be saved by automating each suggested manual process. Users can use project-level dashboards and self-defined rationale to give clear visibility into their company’s potential ROI and actual ROI achieved at any given time (see figure 2). Built-in calculators show Read More

The Shortcut Guide to Achieving Business Intelligence in Midsize Companies


This guide introduces you to the key concepts of business intelligence, including data modeling, data warehouses, online analytical processing (OLAP), and more. The author debunks many of the prevailing myths that scare small to medium businesses from investigating the use of business intelligence, and explains how the very same techniques and technologies used by massive enterprises are now available to them.

data advancing in automation maturity  of business intelligence, including data modeling, data warehouses, online analytical processing (OLAP), and more. The author debunks many of the prevailing myths that scare small to medium businesses from investigating the use of business intelligence, and explains how the very same techniques and technologies used by massive enterprises are now available to them. Read More

Want to Know How to Survive in a Down Economy? Then Look in Your Warehouse!


When I speak with distribution executives nowadays, they all say the same thing: “We are struggling to keep our heads above water because of the economy.” However, before the economy took a turn for the worse, they talked about low profit margins, high inventory levels with low turns, and an erosion of their profitability because of their warehouses. I am often forced to ask, “Is the economy

data advancing in automation maturity   Read More

Data Mining with MicroStrategy: Using the BI Platform to Distribute Data Mining and Predictive Analytics to the Masses


Data mining and predictive analysis applications can help you make knowledge-driven decisions and improve efficiency. But the user adoption of these tools has been slow due to their lack of business intelligence (BI) functionality, proactive information distribution, robust security, and other necessities. Now there’s an integrated enterprise BI system that can deliver data mining and predictive analysis. Learn more.

data advancing in automation maturity  BI Platform to Distribute Data Mining and Predictive Analytics to the Masses Data mining and predictive analysis applications can help you make knowledge-driven decisions and improve efficiency. But the user adoption of these tools has been slow due to their lack of business intelligence (BI) functionality, proactive information distribution, robust security, and other necessities. Now there’s an integrated enterprise BI system that can deliver data mining and predictive analysis. Learn more. Read More