infosphere

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MarineMax steers a course to success with business analytics

Published By: IBM     Published Date: Mar 12, 2014
Following an analytics strategy set by the company’s C-level executives, MarineMax moved away from spreadsheet-based reporting processes several years ago, and built an enterprise-class business analytics platform based on IBM Cognos and IBM InfoSphere technologies.
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ibm, ibm cognos, ibm infosphere, business technology, business analytics, analytics strategy, business analytics platform
    
IBM

The Big Deal about Big SQL? Introducing Relational DBMS Users to IBM SQL Technology for Hadoop

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
    
IBM

The Forrester Wave™: Master Data Management Solutions

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
    
IBM

Making the case for data lifecycle management

Published By: IBM     Published Date: May 28, 2014
Read the whitepaper to find out how one client improved business value of their data by implementing InfoSphere Optim processes and technologies.
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ibm, data lifecycle management, infosphere optim, integrating big data, governing big data, integration, best practices, big data
    
IBM

Back to basics: Fundamentals of test data management

Published By: IBM     Published Date: May 28, 2014
The right test data management solution accelerates time to value for business-critical applications and builds relationships and efficiencies across the organization. IBM InfoSphere Optim Test Data Management closes the gap between DBAs and application developers by providing all teams with accurate, appropriately masked and protected data for their work. Developers can confirm that new application functionalities perform as expected. QA staff can validate that the application performs as intended based on the test cases, and that integrations work properly. And business leaders can be more confident that competitive functionality will be delivered on time with less risk.
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ibm, ibm infosphere, ibm optim solutions, ibm test data, test data management, dba, database management, big data
    
IBM

Business Driven Governance: Managing Policies for Data Retention

Published By: IBM     Published Date: May 28, 2014
Different types of data have different data retention requirements. In establishing information governance and database archiving policies, take a holistic approach by understanding where the data exists, classifying the data, and archiving the data. IBM InfoSphere Optim™ Archive solution can help enterprises manage and support data retention policies by archiving historical data and storing that data in its original business context, all while controlling growing data volumes and improving application performance. This approach helps support long-term data retention by archiving data in a way that allows it to be accessed independently of the original application.
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ibm, data retention, information governance, archiving, historical data, integrating big data, governing big data, integration
    
IBM

Supercharge Salesforce.com initiatives with a 360° view of the customer

Published By: IBM     Published Date: Aug 05, 2014
IBM® InfoSphere® Master Data Management (MDM) helps organizations gain a comprehensive and accurate 360-degree view of their customers. This 360-degree view, when integrated with a CRM solution such as Salesforce.com, helps organizations improve the effectiveness of their CRM initiatives to help companies: -Increase user productivity -Improve sales and marketing performance to increase win rate and revenue -Mitigate risks associated with poor customer data Download here to learn more!
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ibm, salesforce, mdm, crm, initiatives, data, it management, data management
    
IBM

Data Sheet: Enhance the 360 degree view of your customer

Published By: IBM     Published Date: Oct 01, 2014
Gaining a more complete, trusted view of customers is a strategic goal of most organizations. The challenge is that information about customers is typically managed and stored in many different applications, management systems and data silos. And this challenge is often compounded by a lack of consistency from one application to the next. The combination of IBM InfoSphere Data Explorer and IBM InfoSphere Master Data Management addresses these challenges by creating a single, combined, trusted 360-degree view of all data related to customers, accounts, products and other entities. The combined solution enables organizations to gain a deeper understanding of customer sentiment, increase customer loyalty and satisfaction, and get the right information to the right people to provide customers what they need to solve problems, cross-sell and up-sell.
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data integration, customer loyalty, customer service, big data, data management, best practices, business analytics, customer relationship management
    
IBM

The MDM advantage: Creating insight from big data

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

Supercharge Salesforce.com initiatives with a 360° view of the customer

Published By: IBM     Published Date: Oct 01, 2014
Salesforce.com is an industry leading cloud CRM solution which helps organizations streamline and effectively manage sales processes, customers and opportunities. The effectiveness of these initiatives can be improved dramatically by providing Salesforce with a 3600 view of the Customer to overcome the limitation of fragmented data that Salesforce currently relies on. This paper discusses how InfoSphere capabilities can be used to create comprehensive and accurate 3600 views of your customers from internal and external sources. This data is integrated seamlessly within Salesforce.com to help your sales teams get a complete view of the customer to help find the right contacts, allocate resources efficiently and identify new opportunities. This helps your sales teams be more efficient, effective and ultimately improve your win rate and drive more revenue.
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salesforce, crm solution, data integration, data management, business intelligence, business process management, customer interaction service, customer relationship management
    
IBM

Big Data Integration and Governance Considerations for Healthcare

Published By: IBM     Published Date: Oct 01, 2014
This white paper discusses how IBM InfoSphere can support the integration and governance of Big Data in healthcare. The white paper reviews three case studies including predictive analytics with Electronic Medical Records, time series data in a neonatal intensive care unit and predictive pathways for disease.
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big data, data integration, healthcare, data management, business activity monitoring, business analytics
    
IBM

The MDM advantage: Creating insight from big data

Published By: IBM     Published Date: Jan 09, 2015
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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big data, mdm, client analytics, real-time analysis, it management, knowledge management, data management
    
IBM

Addressing Customer Analytics With Effective Data Matching

Published By: IBM     Published Date: Jan 09, 2015
With the advent of big data, organizations worldwide are attempting to use data and analytics to solve problems previously out of their reach. Many are applying big data and analytics to create competitive advantage within their markets, often focusing on building a thorough understanding of their customer base.
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ibm, big data, insights, infosphere, data management, dashboards, value, data matching
    
IBM

Bloor Research Report - E360

Published By: IBM     Published Date: Jan 09, 2015
Early adopters of an extended 360° view will get competitive advantages over their rivals and this will force laggards to adopt a similar approach or lose business.
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ibm, big data, insights, mdm, infosphere, data management, dashboards, value
    
IBM

Four Steps to a Proactive Big Data Security and Privacy Strategy

Published By: IBM     Published Date: Apr 09, 2015
This ebook outlines four steps to develop a proactive approach to data security and privacy that will help you keep big data safe, and shows how IBM InfoSphere solutions can help protect data while giving your staff the right levels of access to do their jobs efficiently and accurately.
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data security, ibm, ibm infosphere, privacy strategy, big data security, security, it management, knowledge management
    
IBM

Four Steps To A Proactive Big Data Security And Privacy Strategy: Elevate Data Security To The Board

Published By: IBM     Published Date: Oct 02, 2015
This ebook outlines four steps to develop a proactive approach to data security and privacy that will help you keep big data safe, and shows how IBM InfoSphere solutions can help protect data while giving your staff the right levels of access to do their jobs efficiently and accurately.
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ibm, big data, data security, privacy strategies, ibm infosphere, security, it management, knowledge management
    
IBM

Scaling Data Integration to Handle Big Data

Published By: IBM     Published Date: Jan 13, 2016
IBM InfoSphere Information Server connects to many new ‘at rest’ and streaming big data sources, scales natively on Hadoop using partition and pipeline parallelism, automates data profiling, provides a business glossary, and an information catalog, plus also supports IT.
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ibm, data integration, infosphere, information server, partition, data profiling, knowledge management, data management
    
IBM

Information empowerment for your evolving data ecosystem

Published By: IBM     Published Date: Jan 13, 2016
By using InfoSphere Information Server “flexible integration” capabilities, the information that drives business and strategic initiatives—from big data and point-of-impact analytics to master data management and data warehousing—is trusted, consistent and governed in real time.
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ibm, data, infosphere, server, data warehousing, enterprise applications, data management, business technology
    
IBM

Continuing the MDM journey

Published By: IBM     Published Date: Jan 13, 2016
With deep integration of matching and linking capabilities, application development tools and workflow components, IBM InfoSphere Master Data Management can help deliver a seamless transition from a virtual architectural style to a physical architectural style.
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ibm, mdm, linking, data, infosphere, data management, business technology
    
IBM

IBM BigInsights BigIntegrate and BigQuality: Information Empowerment for Your Big Data Ecosystem

Published By: IBM     Published Date: Jan 14, 2016
Built using the IBM® InfoSphere® Information Server, IBM BigInsights® BigIntegrate and BigInsights BigQuality provide the end-to-end information integration and governance capabilities that organizations need.
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ibm, biginsights, bigintegrate, bigquality, data, ecosystem, governance, integration
    
IBM

The Total Economic Impact of IBM Information Integration and Governance Solutions-Forrester Report

Published By: IBM     Published Date: Jan 14, 2016
Built using the IBM® InfoSphere® Information Server, IBM BigInsights® BigIntegrate and BigInsights BigQuality provide the end-to-end information integration and governance capabilities that organizations need.
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ibm, biginsights, bigintegrate, bigquality, data, ecosystem, governance, integration
    
IBM

The MDM advantage: Creating insight from big data

Published By: IBM     Published Date: Apr 18, 2016
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.
Tags : 
ibm, mdm, big data, ibm infosphere, data management
    
IBM

IBM BigInsights BigIntegrate and BigQuality: Information Empowerment for Your Big Data Ecosystem

Published By: IBM     Published Date: Apr 18, 2016
"Built using the IBM® InfoSphere® Information Server, IBM BigInsights® BigIntegrate and BigInsights BigQuality provide the end-to-end information integration and governance capabilities that organizations need."
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ibm, big data, ibm infosphere, ibm biginsights, ibm bigintegrate, ibm bigquality, data management, data quality
    
IBM

Information Empowerment for Your Evolving Data Ecosystem

Published By: IBM     Published Date: Apr 18, 2016
By using InfoSphere Information Server “flexible integration” capabilities, the information that drives business and strategic initiatives—from big data and point-of-impact analytics to master data management and data warehousing—is trusted, consistent and governed in real time.
Tags : 
ibm, big data, ibm infosphere, information empowerment, data integration, data management
    
IBM

MDM on the Cloud

Published By: IBM     Published Date: Apr 18, 2017
Are you looking to add new data domains or solve new business problems? IBM InfoSphere MDM comprises a complete MDM suite with multi-domain MDM capabilities and built-in domain patterns. IBM offers several editions of InfoSphere MDM, each designed to integrate with your existing architectures and business processes. You can choose the platform that best meets your immediate and long-term needs.
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cloud data, online marketing, customer acquisition, mobile marketing, social marketing, data warehouse, data storage, data collection
    
IBM
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