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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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 analysis services processing data


Role of In-memory Analytics in Big Data Analysis
Organizations today need to handle and manage increasingly large volumes of data in various formats and coming from disparate sources. Though the benefits to be

analysis services processing data  Analytics in Big Data Analysis In a previous article , I discussed big data and the need for a big data solution to handle, manage, and derive valuable insight from large volumes of data in various formats and coming from disparate sources. Here I discuss the role that in-memory technologies plays in big data analysis and the potential of this technology to change the business intelligence (BI) landscape and the industry technology space. But first we need to understand the basics.   A Basic Framework

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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.

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

CRM for Financial and Insurance Markets

Customer relationship management (CRM) focuses on the retention of customers by collecting data from all customer interactions with a company from all access points (by phone, mail, or Web, or in the field). The company can then use this data for specific business purposes by taking a customer-centric rather than a product-centric approach. CRM applications are front-end tools designed to facilitate the capture, consolidation, analysis, and enterprise-wide dissemination of data from existing and potential customers. This process occurs throughout the marketing, sales, and service stages, with the objective of better understanding one’s customers and anticipating their interest in an enterprise’s products or services.  

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Documents related to » analysis services processing data

Payroll Services Checklist


Before you talk to a payroll services provider, you need to ask yourself several important questions about the current situation of your organization, and to consider its budget, expected growth, and more. Here’s a checklist of some of those questions so you can make the most of your consultation with potential services providers. Get organized and know your requirements before you commit to buying a payroll solution.

analysis services processing data  payroll functionality with compensation analysis a business priority? How much control of private data are you comfortable relinquishing to a third-party provider? Does you company lay claim to stringent data security controls? What degree of customization do you expect from a payroll solution? Searches related to Payroll Services Checklist : Payroll Checklist | Get Info on Payroll Checklist | Payroll Checklist Info | Checklist Using Outsourced Payroll | Payroll Processing Checklist | Payroll Timeline | Read More

Four Critical Success Factors to Cleansing Data


Quality data in the supply chain is essential in when information is automated and shared with internal and external customers. Dirty data is a huge impediment to businesses. In this article, learn about the four critical success factors to clean data: 1- scope, 2- team, 3- process, and 4- technology.

analysis services processing data  Data Profiling | Data Analysis | Data Processing | Financials Research Data Cleaning | Master Data Management | Data Integration | Data Sets | Data Integrity | Data Cleansing Projects | Collection Data | Data Enrichment | Data Cleansing Products | Data Cleansing Server | Data Mining | Data Cleansing | Cleanse Data | Data Improvements | Structured Data | Data Values | Data Cleansing Modules | Automated Data Cleansing | Supply Chain Data | BPM Data | BPM Data Cleansing | BPM Consumer Data | BPM Precise Read More

IPC Global Services


IPC Global is a Systems Integrator (SI) and Elite QlikView Solution Provider of Enterprise Intelligence Solutions (EI). We specialize in Solution Sales and ROI, Solution Architecture, Project Management, Custom Development, Publishing, Training, Governance and Support. We help your organization uncover its Enterprise Intelligence through, Visual Analytics, Business Discovery, Business Intelligence, Comparative Analysis, Benchmarking Performance Management, Mobile BI, Collaboration, and Self Service. IPC Global connects all your systems within your Enterpise Intelligence and allows you to view and share all the data both (in-house and outside data) within the same or other many functional areas through QlikView, Data Marts, Data Warehousing, ETL, Meta Data Management, .NET/Java Automations, Enterprise Framework, Cloud Computing, Implementation Methodology We cover the following industry segments: Consumer Products, Retail & Distribution, Healthcare & Life Sciences, Manufacturing, Banking & Financial Services, Infrastructure Services, Public Sector & Education.

analysis services processing data  Discovery, Business Intelligence, Comparative Analysis, Benchmarking Performance Management, Mobile BI, Collaboration, and Self Service. IPC Global connects all your systems within your Enterpise Intelligence and allows you to view and share all the data both (in-house and outside data) within the same or other many functional areas through QlikView, Data Marts, Data Warehousing, ETL, Meta Data Management, .NET/Java Automations, Enterprise Framework, Cloud Computing, Implementation Methodology We cover Read More

Six Steps to Manage Data Quality with SQL Server Integration Services


Without data that is reliable, accurate, and updated, organizations can’t confidently distribute that data across the enterprise, leading to bad business decisions. Faulty data also hinders the successful integration of data from a variety of data sources. But with a sound data quality methodology in place, you can integrate data while improving its quality and facilitate a master data management application—at low cost.

analysis services processing data  Improvement , Data Quality Analysis , Data Quality Articles , Data Quality Assessment , Data Quality Indicator , Data Quality Indicators , Data Quality Business Intelligence , Data Quality Initiatives , Data Quality Issues , Data Quality Management , Data Quality Measurement , Data Quality Measures , Data Quality Methodology , Data Quality Methods , Data Quality Metrics , Data Quality Model , Data Quality Objectives , Data Quality Plan , Data Quality Problems , Data Quality Process , Data Quality 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.

analysis services processing data  A staging database for analysis and development. Impact on production services is minimized by the use of a separate migration server and by the use of configured staging and process areas within the service to manage multiple data versions, sources, and status values. Your team can also use the staging area to created needed reference data for the target system. A sizing estimate for the staging database, which includes any needed replication required to support both migration code development and 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 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 accurate, trustworthy, and complete.

analysis services processing data  spend analytics,performance management software,spend analyses,supplier risk assessments,data enrichment and classification Read More

Paychex, Inc.


myStaffingPro started as a recruitment process outsourcing (RPO) company and after several highly successful years, developed DialApp interactive voice response system to streamline its manual hiring process. In 1997, the company abandoned its RPO roots to concentrate on creating, deploying, and enhancing hiring software for human resources. HR Services Inc. is the provider of DialApp interactive voice response system, now a configuration option of the myStaffingPro applicant tracking suite, and the recruiting software, myStaffingPro Elevate.

analysis services processing data  Services Inc. HR Services, Inc. was started in 1993 as a human resources (HR) outsourcing firm specializing in large-scale hiring projects. After several years of manually screening applicants, HR Services, Inc. researched the market for an automated prescreening system. When the market failed to provide a suitable solution, HR Services Inc. decided to create its own applicant tracking technology. In 1999, HR Services, Inc. left its recruiting roots and focused on creating a web-based, custom applicant 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.

analysis services processing data   Read More

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.

analysis services processing data  the Complexities of Remote Data Protection Because data protection is a concern for organizations of all sizes, IBM offers remote data protection for the enterprise, as well. This high performance and easy-to-use service delivers consistent and cost-effective data protection without increased network investment. Source: IBM Resources Related to Addressing the Complexities of Remote Data Protection : Continuous Data Protection (CDP) (Wikipedia) Addressing the Complexities of Remote Data 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 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 unified view of the data terrain necessary to support big data and the real-time needs of innovative companies.

analysis services processing data  big data,innovation,data management,data platforms,data ecosystems Read More

The Evolution of a Real-time Data Warehouse


Real-time data warehouses are common in some organizations. This article reviews the basic concepts of a real-time data warehouse and it will help you determine if your organization needs this type of IT solution.

analysis services processing data  design paradigm. While tactical analysis requires immediate or recent data, other sorts of strategic decision making require a higher volume of historical data. For all business analysis, a combination of both historical and real-time data is necessary. The Analytical Purpose . Real-time data warehouses are not intended to replace traditional operational systems. One of the functions of a real-time data warehouse is to support analytical purposes, and not to perform operational functions. Even when a Read More

The New Virtual Data Centre


Old-style, one application per physical server data centers are not only nearing the end of their useful lives, but are also becoming barriers to a business’ future success. Virtualization has come to the foreground, yet it also creates headaches for data center and facilities managers. Read about aspects of creating a strategy for a flexible and effective data center aimed to carry your business forward.

analysis services processing data  Data Management,Data Infrastructure,Data Center,Knowledge Management,Cost Control,IT Budgeting,Outsourcing,Strategic Planning,Business Applications,Business Management,data management software,data management technology,enterprise data management,data management services,customer data management Read More

Deploying High-density Zones in a Low-density Data Center


New power and cooling technology allows for a simple and rapid deployment of self-contained high-density zones within an existing or new low-density data center. The independence of these high-density zones allows for reliable high-density equipment operation without a negative impact on existing power and cooling infrastructure—and with more electrical efficiency than conventional designs. Learn more now.

analysis services processing data  computational fluid dynamics (CFD) analysis prior to installation. Figure 3 illustrates three high-density zone implementation methodologies all of which are capable of supporting independent power distribution, UPS, and cooling systems. This drop-in solution eliminates the hot spots in Figure 2b by simply moving high-density equipment into the zone. The heat generated from the high-density IT equipment within this zone is rejected to the outdoors with no impact to the existing data center cooling Read More