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Documents related to » data phase brings automation


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

data phase brings automation  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 Automation Testing | Data Automation of Thought Information Technology | Read More
Two Vendor Execs Discuss the Current B2B Pricing Market (and its Future)
Why are some companies still managing their prices with spreadsheets—and leaving their single most important profit lever to such inadequate if not harmful

data phase brings automation  combining cost and price data can be powerful—one company I know of discovered that as the price of certain commodities went up so did its ability to capture higher prices, but for other commodities a price increase led to downward pressure on prices. As the company used these commodities, they not only impacted the company’s own material costs, but also had a dramatic impact on profitability in different scenarios. Increases in certain commodities prices led to higher profits while others led to a Read More
NetSuite and Autodesk Join Forces for Cloud Manufacturing Software
NetSuite is on a roll with whopping growth and expansion (16,000 customers, 2,000 employees, and 700 partners) and is even now talking about profitability

data phase brings automation  concept, design, and engineering data in Autodesk PLM 360, once released, will feed into NetSuite manufacturing to assemble bills of materials (BOMs), source components, assess capacity, and more, with role-based authorization across both PLM and ERP systems. Figure 1 Figure 2 The integration between Autodesk PLM 360 and NetSuite ERP will give designers, engineers, and multi-tier partners as well as other stakeholders a scalable platform to ensure that changes are properly documented, propagated, and Read More
TEC Industry Watch: Enterprise Software News for the Week of April 23rd, 2012
SOFTWARE SELECTIONSThe SuperYacht Group selects NetSuiteIndustry tags: services industry

data phase brings automation  standards for analyzing big data and for industry-specific applications. —Jorge García, TEC BI Analyst Press release Teradata releases new appliance for SAS High Performance Analytics Industry tags: BI/data warehouse/business analytics Taradata 700 appliance for SAS High Performance Analytics is Teradata’s integrated offering; this new appliance delivers in-memory capabilities for performing complex and parallel analytics, providing customers with high-speed tools for this purpose via SAS. A Read More
Case Study: Leading Online Bank Automates with Job Scheduling Solution
An online American bank, providing various financial services, needed to replace its legacy script-driven batch job processes with a job scheduling solution

data phase brings automation  jobs that check for data integrity, the interdependencies of scripts, automatically detect and correct errors, and gather statistics on performance. On a total cost of ownership investment estimate of $1.3 Million, the bank''s online division realized a conservatively estimated 52% Internal Rate of Return, a 114% five-year ROI, and an investment payback in 26 months. Moreover, given the success of this solution, the bank''s online division is in the process of rolling the Tidal™ Enterprise Scheduler Read More
Meet PCI DSS Compliance Requirements for Test Data with Data Masking
Whether you’re working toward your first or your next payment card industry (PCI) data security standard (DSS) audit, you know compliance is measured on a

data phase brings automation  Compliance Requirements for Test Data with Data Masking Whether you’re working toward your first or your next payment card industry (PCI) data security standard (DSS) audit, you know compliance is measured on a sliding scale. But full compliance can’t be achieved with just one policy or technology. Using data masking, a technology that alters sensitive information while preserving realism, production data can be eliminated from testing and development environments. Learn more. 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

data phase brings automation  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 demand for data capacity and higher service levels. Often these demands are coupled with regulatory requirements and a shifting business environment. Learn about data protection strategies that can help organizations meet these demands while maintaining flat budgets. 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

data phase brings automation  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
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

data phase brings automation  Data Integration: A Primer Originally published - August 22, 2006 Introduction Implementing a customer data management system can be the difference between success and failure in terms of leveraging an organization''s customer relationship management (CRM) system. Since customers drive profitability, organizations need a way to provide their employees with a single view of the customer and to provide that customer with above-average customer service. Unfortunately, this is not always the case. Read More
The Business Case for Marketing Automation
With capabilities that span inbound and outbound marketing, customer relationship management (CRM) integration, and robust measurement, marketing automation

data phase brings automation  marketing automation, e-mail campaigns, marketing automation platform, marketing campaign management, lead-to-revenue management Read More
2013 Big Data Opportunities Survey
While big companies such as Google, Facebook, eBay, and Yahoo! were the first to harness the analytic power of big data, organizations of all sizes and industry

data phase brings automation  Big Data Opportunities Survey While big companies such as Google, Facebook, eBay, and Yahoo! were the first to harness the analytic power of big data, organizations of all sizes and industry groups are now leveraging big data. A survey of 304 data managers and professionals was conducted by Unisphere Research in April 2013 to assess the enterprise big data landscape, the types of big data initiatives being invested in by companies today, and big data challenges. Read this report for survey responses 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

data phase brings automation  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 organizations seek to store and analyze greater levels of transaction details, as well as Web- and machine-generated data, to gain a better understanding of customer behavior and drivers. This report examines the rise of big data and the use of analytics to mine that data. 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

data phase brings automation  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
Data Enrichment and Classification to Drive Data Reliability in Strategic Sourcing and Spend Analytics
Spend analytics and performance management software can deliver valuable insights into savings opportunities and risk management. But to make confident

data phase brings automation  and Classification to Drive Data Reliability in Strategic Sourcing and Spend Analytics Spend analytics and performance management software can deliver valuable insights into savings opportunities and risk management. But to make confident decisions and take the right actions, you need more than just software—you also need the right data. This white paper discusses a solution to help ensure that your applications process reliable data so that your spend analyses and supplier risk assessments are Read More

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