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 big data analytics


Analytics and Big Data for the Mid-Market
Midsize companies increasingly have to grapple with big data, but determining which solutions among all the options will best help extract business value from

big data analytics  and Big Data for the Mid-Market Midsize companies increasingly have to grapple with big data, but determining which solutions among all the options will best help extract business value from their data is challenging. This report focused on 69 mid-market organizations, offers guidance to these smaller companies on how they might narrow the options by revealing which technology enablers are prevalent in the mid-market, investigating which features are most used by top performing companies, and

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Browse RFP templates

Visit the TEC store for RFP templates that can save you weeks and months of requirements gathering, and help ensure the succes of your software selection project.

Browse Now
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

Field Service Management (FSM)

Field service management (FSM) software is a set of functionalities for organizations or departments within organizations that have as main focus the intallation, maintanance, reparing, and meter reading for industries relying heaviling on equipment. FSM workers require functionality for customer engagement management, service and asset management as well as workforce management. Since most activities in FSM take place outside of the office, mobility is a big component of the a FSM software solutions. Typically, FSM software is not used as a stand-alone solution, as it needs to integrate with Financials, ERP, CRM and EAM to ensure accurate data exchange. Even if its main purpose is to maintain and repair equipment, it can also be used to gather customer satisfaction and equipment performance feedback. To allocate human resources efficiently, workforce management is an integral part of an FSM system. 

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Documents related to » big data analytics

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 gained from analysis of such big data are immense, so are the inherent challenges, including need for rapid analysis. In his article, TEC BI analyst Jorge García discusses how in-memory analytics helps address these challenges and reap the benefits hidden in big data.

big data analytics  of In-memory 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 Read More

Analytics: The Real-World Use of Big Data


Big data inspires new ways to transform processes, organizations, entire industries—and even society itself. Yet extensive media coverage and diverse opinions make it easy to perceive that big data is only for “big” organizations. So what is really happening? Our newest research finds that midsize organizations are just as likely to be using big data technologies to tap into existing data sources and get closer to their customers as any other company. Find out how.

big data analytics  The Real-World Use of Big Data Big data inspires new ways to transform processes, organizations, entire industries—and even society itself. Yet extensive media coverage and diverse opinions make it easy to perceive that big data is only for “big” organizations. So what is really happening? Our newest research finds that midsize organizations are just as likely to be using big data technologies to tap into existing data sources and get closer to their customers as any other company. Find out how. 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.

big data analytics  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 Read More

Exploiting Innovative Technologies in BI and Big Data Analytics


Data is worth nothing without the right technologies to facilitate its transformation into meaningful information—delivered to the right people in a timely manner—for improved decision making. Forrester recently conducted a survey with 330 global BI decision makers and found strong correlations between overall company success and adoption of innovative BI, analytics, and Big Data tools. Is your company harnessing the latest innovations in BI technology to achieve your business goals? Download infographic with survey results.

big data analytics  Technologies in BI and Big Data Analytics Data is worth nothing without the right technologies to facilitate its transformation into meaningful information—delivered to the right people in a timely manner—for improved decision making. Forrester recently conducted a survey with 330 global BI decision makers and found strong correlations between overall company success and adoption of innovative BI, analytics, and Big Data tools. Is your company harnessing the latest innovations in BI technology to Read More

From Text to Business Insight: All about Enterprise Text Analytics


Text analytics automates the extraction of business value from Web sites and social media content, from e-mail and survey responses, to regulatory filings and corporate documents. These sources and others capture information from and about customers, prospects, products, companies, and competitors in human readable form. Download this white paper for a handy guide to understanding—and profiting from—enterprise text analytics.

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Big Data Comes of Age: Shifting to a Real-time Data Platform


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big data analytics  terrain necessary to support big data and the real-time needs of innovative companies. 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 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.

big data analytics  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 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

Data Loss Prevention Best Practices: Managing Sensitive Data in the Enterprise


While a great deal of attention has been given to protecting companies’ electronic assets from outside threats, organizations must now turn their attention to an equally dangerous situation: data loss from the inside. Given today’s strict regulatory standards, data loss prevention (DLP) has become one of the most critical issues facing executives. Fortunately, effective technical solutions are now available that can help.

big data analytics  Loss Prevention Best Practices: Managing Sensitive Data in the Enterprise While a great deal of attention has been given to protecting companies’ electronic assets from outside threats, organizations must now turn their attention to an equally dangerous situation: data loss from the inside. Given today’s strict regulatory standards, data loss prevention (DLP) has become one of the most critical issues facing executives. Fortunately, effective technical solutions are now available that can help. Read More

Prepare for the Quantum Leap in Real-time Analytics: How In-memory Analytics Is Going to Change Everything about Your Enterprise


For business leaders facing the radical, disruptive change represented by in-memory analytics, the response may range from enthusiasm and advocacy to apprehension and fear. Regardless of your particular posture, the smart company needs to understand how in-memory works and what it represents, and craft a purposeful roadmap for their in-memory future. Download this primer on in-memory analytics to learn what it all means for you.

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Revolution Analytics


Revolution Analytics delivers advanced analytics software at half the cost of existing solutions. By building on open source R—the world’s most powerful statistics software with innovations in big data analysis, integration and user experience, Revolution Analytics meets the demands and requirements of modern data-driven businesses.

big data analytics  software with innovations in big data analysis, integration and user experience, Revolution Analytics meets the demands and requirements of modern data-driven businesses. Read More

BIME Analytics


BIME allows users to perform on-demand analysis of local customers and comb through high-level finance trends.

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Informatica PowerCenter 5 Enables Enterprise Data Integration


Informatica Corporation’s Informatica PowerCenter 5 is a platform for integrating data to be deployed in e-Business applications, analytic applications and data warehouses, including a wide range of data sources, from enterprise resource planning (ERP) systems such as SAP R/3 and PeopleSoft, to web logs and Siebel applications. Market validation of its offerings is shown in a record Q4 of 2000, with a 150% increase in revenue over the previous year.

big data analytics  PowerCenter 5 Enables Enterprise Data Integration Informatica PowerCenter 5 Enables Enterprise Data Integration M. Reed - April 5, 2001 Event Summary Informatica Corporation (NASDAQ: INFA), a provider of e-Business analytic software, has announced the availability of Informatica PowerCenter 5 , an enterprise data integration platform for the deployment and management of analytic applications and data warehouses. The vendor states that the Informatica PowerCenter 5 suite is designed to be a Read More

Making the Business Case for Analytics in the Mid-Market


To build a strong business case for investing in analytics, mid-size companies need to overcome common barriers to adoption, and focus on value propositions that align with revenue growth and cost containment. The use cases captured in this paper demonstrate the value that organizations have realized in sales, risk management, and corporate reporting through analytics.

big data analytics  big data, predictive analytics, real-time analytics, embedded analytics, business analytics, data and analytics, predictive software, analytics solutions, analytics for mid-market, IBM Business Analytics Read More

Data Management and Analysis


From a business perspective, the role of data management and analysis is crucial. It is not only a resource for gathering new stores of static information; it is also a resource for acquiring knowledge and supporting the decisions companies need to make in all aspects of economic ventures, including mergers and acquisitions (M&As).

For organizational growth, all requirements and opportunities must be accurately communicated throughout the value chain. All users—from end users to data professionals—must have the most accurate data tools and systems in place to efficiently carry out their daily tasks. Data generation development, data quality, document and content management, and data security management are all examples of data-related functions that provide information in a logical and precise manner.

big data analytics  Management and Analysis From a business perspective, the role of data management and analysis is crucial. It is not only a resource for gathering new stores of static information; it is also a resource for acquiring knowledge and supporting the decisions companies need to make in all aspects of economic ventures, including mergers and acquisitions (M&As). For organizational growth, all requirements and opportunities must be accurately communicated throughout the value chain. All users—from end users Read More