data insights

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Published By: IBM     Published Date: Sep 27, 2013
Business users need a simple but powerful way to navigate through data and find the insights to make timely, critical business decisions. Unfortunately, many users have become frustrated at their inability to quickly access and analyze the information they require. This data typically includes a combination of personal and corporate data locked in various enterprise systems. It exists in different formats and can be hard to analyze, change or share — making it difficult for people to get fast answers to business questions.
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ibm, ibm business analytics, business analytics solutions, ibm cognos insight, analytics, data analysis, visualization, it management, enterprise applications, data management
    
IBM
Published By: IBM     Published Date: Oct 10, 2013
To better understand the value that firms are deriving from Unified Communications (UC), the status of its adoption, and the barriers to full implementation, IBM engaged Forrester Consulting to survey network and telecom buyers and reflect upon existing research. Data from this survey, combined with existing research and insights, yields a picture of UC deployment and decision-making in enterprises.
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mobility, business outcomes, unified communications, business communications, ibm, uc deployment, enterprises, research and insight, decision-making, forrester consulting, understanding value, business values, firm goals, telecom buyers, implementation, valued data, wireless, network management, business management, telecom
    
IBM
Published By: IBM     Published Date: Jan 02, 2014
Business users need a simple but powerful way to navigate through data and find the insights to make timely, critical business decisions. Unfortunately, many users have become frustrated at their inability to quickly access and analyze the information they require. This data typically includes a combination of personal and corporate data locked in various enterprise systems. It exists in different formats and can be hard to analyze, change or share — making it difficult for people to get fast answers to business questions.
Tags : 
ibm, cognos insight guide, navigating data, interactivity, analytic functionality, enterprise analytics, personal analytics, customer service, business users, analytic solution, share data, performance management, supply chain management, customer relationship, cognos insight, business continuity, internet security, business activity monitoring, business analytics
    
IBM
Published By: IBM     Published Date: Jan 02, 2014
This study highlights the phases of the big data journey, the objectives and challenges of midsize organizations taking the journey, and the current state of the technology that they are using to drive results. It also offers a pragmatic course of action for midsize companies to take as they dive into this new era of computing.
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ibm, analytics, global business service, big data, business value, it professionals, volume, velocity, variety, customer analytics, trends and insights, information management, data security, integration, variety of data, analytic accelerator, infrastructure, data management, identity management, application integration
    
IBM
Published By: IBM     Published Date: Jan 09, 2014
While some organizations are already utilizing Big Data or various large enterprise analytics techniques, many more are still working to grasp how these new usage models might help them. There’s a lot of undiscovered value in the vast amounts of data they currently have and the data that they can get from other sources. They know that they can somehow convert this data into insights that will let them ramp up efficiency and be ready for tomorrow today.
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big data, enterprise analytics, red hat, data analytics, powerlinux system, powervm virtualization, virtualization, cloud computing, infrastructure, design and facilities, power and cooling
    
IBM
Published By: IBM     Published Date: Feb 10, 2014
Customer Intimacy has become an essential driver for company success.In this white paper, you’ll learn how customer intimacy can be implemented at your organization in five practical steps.
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ibm, business analytics, customer analytics, crm, customer service, customer intimacy, cem, enterprise feedback management, data warehousing, insights, predictive analytics, performance management, it management, customer interaction service, customer relationship management, customer satisfaction
    
IBM
Published By: IBM     Published Date: Feb 10, 2014
Working with BrightStar Partners, an Avnet Services company, and IBM, the PDZA team has developed a new analytics solution that combines real-time weather data with ticket sales and attendance information to help forecast visitor numbers much more accurately than ever before.
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ibm, brightstar, business analytics, software, ibm cognos business intelligence, data management, data warehousing, operational efficiency, customer service, insights, data delivery, marketing, customer analytics, mobile solutions, email, social media, software development, it management
    
IBM
Published By: IBM     Published Date: Feb 14, 2014
A social business is an organization whose culture and systems encourage networks of people to create business value. Social businesses connect individuals, so they can rapidly share information, knowledge and ideas by having conversations and publishing informal content. They analyze social content from multiple channels and sources, in addition to structured data, to gain insights from both external and internal stakeholders. When those things happen, innovation and business execution rates increase, better decisions are made, and customers and employees are more engaged and satisfied. Social businesses enjoy lower operating costs, faster speed-to-market, improved customer and employee engagement, and increased profitability. Many organizations don’t fully appreciate the magnitude of the value creation potential of social business.
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ibm, social business, marketing, social media, marketing management, analytics, marketing research, trends, customer interaction, customer service, crm, marketing software
    
IBM
Published By: IBM     Published Date: Mar 05, 2014
For many years, companies have been building data warehouses to analyze business activity and produce insights for decision makers to act on to improve business performance. These traditional analytical systems are often based on a classic pattern where data from multiple operational systems is captured, cleaned, transformed and integrated before loading it into a data warehouse. Typically, a history of business activity is built up over a number of years allowing organizations to use business intelligence (BI) tools to analyze, compare and report on business performance over time. In addition, subsets of this data are often extracted from data warehouses into data marts that have been optimized for more detailed multi-dimensional analysis.
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ibm, big data, data, big data platform, analytics, data sources, data complexity, data volume, data generation, data management, storage, acceleration, business intelligence, data warehouse, analytical applications, data mining, data warehousing
    
IBM
Published By: IBM     Published Date: Mar 05, 2014
If you specialize in relational database management technology, you’ve probably heard a lot about “big data” and the open source Apache Hadoop project. Perhaps you’ve also heard about IBM’s new Big SQL technology, which enables IBM® InfoSphere® BigInsights™ users to query Hadoop data using industry-standard SQL. Curious? This paper introduces you to Big SQL, answering many of the common questions that relational database management system (DBMS) users have about this IBM technology.
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ibm, big data, ibm big sql, sql, database management, database management technology, software, tables, queries, data platform, big sql architecture, programming language, relational database management system, rdbms, database development, analytical applications, business intelligence, data warehousing
    
IBM
Published By: IBM     Published Date: Mar 05, 2014
IBM Big Data Stampede fuses the strength of IBM’s services, products and skills to minimize the barriers of Big Data initiatives and provide organizations with quick success. Your Big Data Stampede includes an assessment to identify the high value starting points with Big Data. We work with you to unearth trouble areas and complex problems for resolution through leveraging Big Data. Read this data sheet to learn more.
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ibm, ibm big data big data, information management, data management, big data technology, business analytics, insights, acceleration, productivity, database development, analytical applications, business intelligence, data integration, data warehousing
    
IBM
Published By: IBM     Published Date: Apr 29, 2014
With a wealth of information readily available online, consumers are now better able to compare products, services and prices—even as they shop in physical stores. When consumers interact with retailers publicly through social media, they have greater power to influence other customers or damage a brand. These and other changes in the retail industry are creating important opportunities for retailers. But to capitalize on those opportunities, retailers need ways to collect, manage and analyze a tremendous volume, variety and velocity of data.
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ibm, retail, ecommerce, big data, retail technology, social media, data analytics, customer insights, customer analytics, personalization, ecommerce
    
IBM
Published By: IBM     Published Date: Apr 29, 2014
For banks, mining data from social media can be a significant way to gain insights into customer mindsets and behavior, but effectively and accurately capturing and processing this unstructured data to gain useful customer insight requires sophisticated tools and advanced analytics.
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ibm, banking, data mining, social media, consumer insights, business analytics, social business, business technology, finance
    
IBM
Published By: IBM     Published Date: May 02, 2014
This paper introduces you to Big SQL, answering many of the common questions that relational database management system (DBMS) users have about this IBM technology.
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ibm, big data, big sql, querying data, database management technology, apache hadoop, data administrators, infosphere, biginsights, industry-standard sql, management systems, database metadata, application programming interfaces, api, it management, application performance management, best practices, change management
    
IBM
Published By: IBM     Published Date: May 02, 2014
Learn more about Forrester’s results, and how these organizations are realizing both economic and operational benefits with InfoSphere Optim solutions.
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ibm, big data, big sql, querying data, database management technology, apache hadoop, data administrators, infosphere, biginsights, industry-standard sql, management systems, database metadata, application programming interfaces, api, data persistence, virtualize data, lifecycle management, big data strategy, it management, data management
    
IBM
Published By: IBM     Published Date: May 28, 2014
The ability to keep pace with trends like big data, open data, sophisticated analytics, and the de-compartmentalization of data silos and processes, distinguishes leading master data management (MDM) solutions from their counterparts. IBM, one of the five vendors in this evaluation, is positioned as THE leader with the most prominent, widely implemented solution in the market.
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ibm, forrester, master data management, big data, database management technology, data administrators, infosphere, biginsights, industry-standard sql, management systems, database metadata, application programming interfaces, api, data persistence, virtualize data, lifecycle management, big data strategy, it management, data management, data center
    
IBM
Published By: IBM     Published Date: Jul 07, 2014
In this report, Business Value of Big Data on Power Systems, NC State University talks about unlocking the business value of big data, and how IBM Power Systems can deliver the foundation for organizations to bring insight to the point of impact faster.
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ibm, big data, analytics, power systems, business value, business insights, ibm power systems, business analytics, business intelligence
    
IBM
Published By: IBM     Published Date: Jul 07, 2014
With so much emphasis in the business world being placed on big data and analytics, it can be easy for midsize businesses to feel like they’re being left behind. These organizations often recognize the benefits offered by big data and analytics, but have a hard time pursuing those benefits with the limited resources available to them.
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ibm, analytics, big data, midmarket, midsize businesses, data-driven insights, business insights, business value, data analysis, business analytics, business intelligence
    
IBM
Published By: IBM     Published Date: Jul 07, 2014
The IBM Institute for Business Value conducted a global study to investigate how organizations were creating value from an ever-growing volume of data obtained from a variety of sources. This resulted from data-derived insights, which then guided actions taken at every level of the organization. The findings identified nine levers that enabled the organizations to create the most value.
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ibm, midmarket, ibm global analytics study, analytics, business insights, profitability, big data, business analytics, data-driven insights, decision making
    
IBM
Published By: IBM     Published Date: Aug 06, 2014
With a wealth of information readily available online, consumers are now better able to compare products, services and prices—even as they shop in physical stores. When consumers interact with retailers publicly through social media, they have greater power to influence other customers or damage a brand. These and other changes in the retail industry are creating important opportunities for retailers. But to capitalize on those opportunities, retailers need ways to collect, manage and analyze a tremendous volume, variety and velocity of data. If retailers succeed in addressing the challenges of “big data,” they can use this data to generate valuable insights for personalizing marketing and improving the effectiveness of marketing campaigns, optimizing assortment and merchandising decisions, and removing inefficiencies in distribution and operations.
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ibm, retail, data, big data, power, stores, interact, social media
    
IBM
Published By: IBM     Published Date: Aug 06, 2014
In this fact-based retail perspective, you will learn five key steps to start acting on the business insights embedded in your shopper, consumer and supplier interactions.
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ibm, retail, analytics, data, big data, insights, shopper, consumer, supplier
    
IBM
Published By: IBM     Published Date: Oct 01, 2014
To help enterprises create trusted insight as the volume, velocity and variety of data continue to explode, IBM offers several solutions designed to help organizations uncover previously unavailable insights and use them to support and inform decisions across the business. Combining the power of IBM® InfoSphere® Master Data Management (MDM) with the IBM big data portfolio creates a valuable connection: big data technology can supply insights to MDM, and MDM can supply master data definitions to big data.
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mdm, big data, master data, data solutions, data management, business analytics, business intelligence, project management
    
IBM
Published By: IBM     Published Date: Oct 07, 2014
Today data is the new currency of business. But many organizations have yet to make the most of data insights that drive better outcomes. This e-book describes how businesses can manage information with greater efficiency, speed and continuity for improved ROI through.
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ibm, big data, information management, data insights, roi, it management, spend management
    
IBM
Published By: IBM     Published Date: Oct 16, 2014
As part of the IBM® SMART Program, Andrews Distributing worked with Southern Methodist University to develop a predictive analytics solution that mines data on 1,000 SKUs sold at 10,000 retailers, and reveals new insights about beer category sales in different retail environments.
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distribution model, analytics services, predictive analytics, sales growth
    
IBM
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