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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.
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Visit the TEC store to compare leading software solutions by funtionality, so that you can make accurate and informed software purchasing decisions.
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 correct level of automation data

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

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 contact data. Systems often include various levels of analytic and reporting capabilities. 

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Documents related to » correct level of automation data

Addressing the Complexities of Remote Data Protection


As companies expand operations into new markets, the percentage of total corporate data in remote offices is increasing. Remote offices have unique backup and recovery requirements in order to support a wide range of applications, and to protect against a wide range of risk factors. Discover solutions that help organizations protect remote data and offer extensive data protection and recovery solutions for remote offices.

correct level of automation data  until an expert can correct the problem Virtual restore capabilities for on-demand point-in-time access Loss of important e-mail or contact information Permanent loss of the data Simple drag-and-drop process to recover any data object SQL Server disk crash Hours or days of downtime Virtual restore capabilities for near-instant recovery Flood, fire or other disaster Business losses until restart of operations in a new facility Recovery of workload on another server within an hour Highlights Tivoli Storage Read More

Best Practices for a Data Warehouse on Oracle Database 11g


Companies are recognizing the value of an enterprise data warehouse (EDW) that provides a single 360-degree view of the business. But to ensure that your EDW performs and scales well, you need to get three things right: the hardware configuration, the data model, and the data loading process. Learn how designing these three things correctly can help you scale your EDW without constantly tuning or tweaking the system.

correct level of automation data  get loaded into the correct partition with minimal impact to the business users of the data warehouse. Partition exchange load steps Create external table for the flat file data coming from the online system Using a CTAS statement, create a non-partitioned table called tmp_sales that has the same column structure as Sales table Build any indexes that are on the Sales table on the tmp_sales table Gather optimizer statistics on the tmp_sales table Issue the exchange partition command Alter table Sales Read More

Sales Force Automation Buyer’s Guide


No matter how effective your sales staff is, there’s always room to boost efficiency and increase sales. But how you go about doing so may be a point of contention. Sales force automation (SFA) solutions come in many flavors, but they don’t all offer the comprehensive SFA functionality you need. Find out how to avoid the pitfalls of choosing SFA software, and get help matching your needs with the right solution for you.

correct level of automation data  make sure it''s the correct one. There are sales-related metrics that can provide a more realistic insight into how well an SFA solution is performing than the broad, organization-wide criteria often employed. If you''re a larger organization, make sure you have an ROI case on sales metrics and work with your vendor to implement the solution most applicable to your company. Some examples of these include: Time to lead qualification Order to cash Churn rates Error reduction Cross-sell ratios Increased Read More

10 Steps to Better Software Test Automation


Maybe you’re considering software test tools for the first time. Or maybe you have experience but think your existing software test automation process needs retooling. Whatever your perspective, there are tips and tricks you may not know about test design and development. These 10 steps to building software test automation can help you shorten your time to market, improve the quality of your products, and save you money.

correct level of automation data  followed to determine the correct tool for the job. The following are recommenced steps to follow for a software test automation tool selection. Define your requirements (technology, hardware, and software constraints) Compile a possible list of candidates Review vendor requirements Make your selection Before looking at testing tools make a shortlist of the requirements you have for software testing. What problems will the tool solve? What technical capabilities will the tool need to be compatible? Test 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.

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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 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 leverage data as an asset.

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Data Quality: Cost or Profit?


Data quality has direct consequences on a company's bottom-line and its customer relationship management (CRM) strategy. Looking beyond general approaches and company policies that set expectations and establish data management procedures, we will explore applications and tools that help reduce the negative impact of poor data quality. Some CRM application providers like Interface Software have definitely taken data quality seriously and are contributing to solving some data quality issues.

correct level of automation data  all changes to the correct data steward for their review. Another key InterAction data quality feature is the Contact Verifier. When necessary, this integrated tool extracts necessary key business information about all contacts and submits it to selected contacts for verification. The Interface Data Change Management functionality allows both professional and administrative users to control access over viewing and editing their contacts. This feature protects records from unwanted or incorrect changes. 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 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 decision support.

correct level of automation data  big data, predictive analytics, real-time analytics, embedded analytics, business analytics, IBM SPSS solutions, IBM SPSS predictive analytics tools, SPSS predictive software, predictive software Read More

Making Big Data Actionable: How Data Visualization and Other Tools Change the Game


To make big data actionable and profitable, firms must find ways to leverage their data. One option is to adopt powerful visualization tools. Through visualization, organizations can find and communicate new insights more easily. Learn how to make big data more actionable by using compelling data visualization tools and techniques.

correct level of automation data  data visualization, data visualization tools, business intelligence, business analytics, big data analytics Read More

Managing Small Data Centers: A Short Guide to Running Secure and Resilient Data Centers for Mid-sized Businesses


To keep your growing business competitive, your data center must be secure, protected against disaster, and available 24 hours a day, 7 days a week. But if managing IT is not your core competence, what are your options? A managed service provider (MSP) can help. Learn about the benefits of outsourcing data center management, and make sure your crucial business applications are always available when you need them.

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Metagenix Reverse Engineers Data Into Information


Metagenix’ MetaRecon reverse engineers metadata information by examining the raw data contained in the source(s) rather than depending on the data dictionaries of the existing legacy systems (which are often incorrect). Other unique Metagenix approaches include an "open book" policy, which includes publishing product price lists on their web site and complete access to company officials, including CEO and President Greg Leman. According to Mr. Leman, "we’re pathologically honest".

correct level of automation data  type of projects is incorrect or impure data, so any effort to automate the process of uncovering problems sooner rather than later (typically at the worst possible time, which is when the actual target data load is attempted) will yield significant cost savings to the company. Read More

A Roadmap to Data Migration Success


Many large business initiatives and information technology (IT) projects depend upon the successful migration of data—from a legacy source, or multiple sources, to a new target database. Effective planning and scoping can help you address the associated challenges and minimize risk for errors. This paper provides insights into what issues are unique to data migration projects and to offer advice on how to best approach them.

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Agile Data Masking: Critical to Data Loss Prevention and Threat Reduction


Over the past several years data loss and data leaks have been a regular part of headline news. This surge in data leak activity has prompted many organizations to reevaluate their exposure to data leaks and institute automated, agile approaches to data masking. Well-implemented data masking secures data delivery and enhances compliance and security while accelerating data management processes.

correct level of automation data  data masking, data security, information security, data leak, hack, data loss, DLP, data leak prevention Read More

The Path to Healthy Data Governance through Data Security


Companies today are challenged to maintain their data safe and secure from hackers and others with unauthorized access. In his article, TEC business intelligence (BI) analyst Jorge García looks the risks and issues that companies face with securing their data, the importance and advantages of data security, and outlines a path that companies can follow to achieve data security as part of an overall data governance initiative.

correct level of automation data  Path to Healthy Data Governance through Data Security The appropriate handling of an organization’s data is critically dependent on a number of factors, including data quality, which I covered in one of my earlier posts this year. Another important aspect of data governance regards the managing of data from a security perspective. Now more than ever, securing information is crucial for any organization. This article is devoted to providing insight and outlining the steps that will put you on the path Read More

The Best of Both Worlds: Gain Flexibility through Multiple Models of Software Delivery


Lower IT costs, faster return on investment (ROI), and better security—just a few of the promises the software-as-a-service (SaaS) business model makes. SaaS can help small-to-medium businesses manage customer service and support cost-effectively. But there are a few concerns to consider if you’re thinking of an on-demand service. A vendor that offers the best of both on-demand and on-premise solutions may be the answer.

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