X
Software Functionality Revealed in Detail
We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.
Get free sample report

Compare Software Solutions
Visit the TEC store to compare leading software solutions by funtionality, so that you can make accurate and informed software purchasing decisions.
Compare Now
 

 data integration maturity model


There Is No Execution without Integration
In fast-paced, low-margin manufacturing environments, companies must embrace technology in order to solidify or gain competitive advantages. It is equally

data integration maturity model  collection and providing this data to the proper decision makers. Subsequently, Industry Average and Laggard manufacturers can not obtain a competitive advantage by doing so, but rather must do so just to keep pace with the Best in Class. Technology Usage Best in Class manufacturers differentiate from Industry Average and Laggard firms in the utilization of every single technology category, including HMI, SCADA, MES, MI, ERP, and the integration of ERP with the plant floor. This differentiation is the

Read More


Software Functionality Revealed in Detail

We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.

Get free sample report
Compare Software Solutions

Visit the TEC store to compare leading software by functionality, so that you can make accurate and informed software purchasing decisions.

Compare Now

ERP for the Oil and Gas Industry (Upstream)

The model of ERP systems for the upstream oil and gas sector addresses the particularly specialized business model of this industry. It is common practice for companies, individuals, and government agencies to form partnerships to explore, develop, and share production of oil wells. More often than not, this is a short-term alliance rather than a long-term partnership, and business structuring must therefore be flexible at initial set-up and throughout the lifespan of the venture. This model of ERP systems includes criteria for financials, human resources, production data capture and reporting, maintenance management, and supply chain management (SCM) functionality. 

Evaluate Now

Documents related to » data integration maturity model

A One-stop Event for Business Intelligence and Data Warehousing Information


The Data Warehousing Institute (TDWI) hosts quarterly World Conferences to help organizations involved in data warehousing, business intelligence, and performance management. These conferences supply a wealth of information aimed at improving organizational decision-making, optimizing performance, and achieving business objectives.

data integration maturity model   Read More

Is the SaaS Model Right for You?


For IT departments drowning in complex and expensive software maintenance chores, the software-as-a-service (SaaS) model can ease the burden. SaaS reduces complexity by outsourcing most of the infrastructure needed to run software applications, and reduces costs by charging only for what is consumed. But you can also adopt a hybrid SaaS model, in which some systems are outsourced and others are kept in-house. Learn more.

data integration maturity model   Read More

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 integration maturity model   Read More

A Road Map to Data Migration Success


Many significant business initiatives and large IT projects depend upon a successful data migration. But when migrated data is transformed for new uses, project teams encounter some very specific management and technical challenges. Minimizing the risk of these tricky migrations requires effective planning and scoping. Read up on the issues unique to data migration projects, and find out how to best approach them.

data integration maturity model   Read More

Data Storage in the Cloud-Can you Afford Not To?


Storing data in the cloud using Riverbed Technology’s Whitewater cloud storage gateway overcomes a serious challenge for IT departments: how to manage the vast, and ever-growing, amount of data that must be protected. This paper makes the business case for cloud storage, outlining where capital and operational costs can be eliminated or avoided by using the cloud for backup and archive storage.

data integration maturity model   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 integration maturity model   Read More

A Solution to Data Capture and Data Processing Challenges


Organizations are relying more and more on customer information to drive business processes. You probably spend a lot of time trying to make sure you get the right information to the right people at the right time—but is your data capture process as efficient as it could be? Learn about the issues surrounding data capture and data processing, and about a solution designed to help you address specific processing problems.

data integration maturity model   Read More

Fundamentals of Managing the Data Center Life Cycle for Owners


Just as good genes do not guarantee health and well-being, a good design alone does not ensure a data center is well built and will remain efficient and available over the course of its life span. For each phase of the data center’s life cycle, proper care and action must be taken to continuously meet the business needs of the facility. This paper describes the five phases of the data center life cycle, identifies key tasks and pitfalls, and offers practical advice to facility owners and management.

data integration maturity model   Read More

Master Data Management and Accurate Data Matching


Have you ever received a call from your existing long-distance phone company asking you to switch to its service and wondered why they are calling? Chances are the integrity of its data is so poor that the company has no idea who many of its customers are. The fact is, many businesses suffer from this same problem. The solution: implement a master data management (MDM) system that uses an accurate data matching process.

data integration maturity model   Read More

Integration Validation of Networked Solutions


When implementing and running solution landscapes that drive mission-critical business processes, solution integration can be complex and challenging. Implementation work, typically distributed across many teams and many stakeholders, may include custom-built and third-party software. This paper discusses how you can make sure your solutions are integrated correctly so they run smoothly, without technical interruption.

data integration maturity model   Read More