data management insight

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Published By: IBM     Published Date: Aug 08, 2012
Every day, people in your organization are struggling to make the right decisions - working with customers, partners, and each other - because they simply can't use all available data. There's too much of it for humans to internalize, understand, and apply in real time. That's why organizations that automate and optimize decisions informed by predictive analytics have a significant advantage over competitors. Read this IBM white paper and discover how decision management can help you effectively leverage your business data to support faster, more-accurate real-time decisions in virtually every area of your business. You can learn the following: the common types of business decisions and how decision management affects them; why most decisions today aren't based on any real business insight; benefits of decision management-what it is and how to adopt it; and the role of predictive analytics in effective decision management.
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ibm, technology, marketing, decision management, data, automation, optimization, business insight
    
IBM
Published By: Adobe     Published Date: Aug 02, 2017
With Adobe Analytics and Adobe Audience Manager—both part of Adobe Marketing Cloud—media companies can overcome today’s audience intelligence challenges. Adobe Analytics is an industry-leading solution for applying real time analytics and detailed segmentation across all of your marketing channels. A unified platform and customer ID unlock powerful customer intelligence and help you discover and retain high-value audiences. Make forward-looking decisions with its predictive intelligence capabilities, and find out which of your marketing efforts are paying off with its attribution functionality.
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goals and kpis, data warehouse, resource management, insight loop, content and campaigns, audience optimisation
    
Adobe
Published By: CDW     Published Date: Apr 04, 2016
Data proliferation can be both a source of business opportunity as well as a tremendous burden. With Hewlett Packard Enterprise’s broad portfolio and deep expertise, businesses can securely and easily harness their data to gain actionable insights, create and monetize new revenue streams, and enable continuous improvement of existing lines of business.
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data management, business practices, data application, insights, business optimization
    
CDW
Published By: Adobe     Published Date: Oct 06, 2015
The sheer volume of data available to marketers can be daunting, especially without a data management platform (DMP). With a DMP, marketers can handle growing data challenges, create powerful customer insights and deliver marketing campaigns that increase revenue.
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adobe, digital advertising, social, brand, dmp, digital media platform
    
Adobe
Published By: CDW-HPE Servers     Published Date: Apr 07, 2016
Data proliferation can be both a source of business opportunity as well as a tremendous burden. With Hewlett Packard Enterprise’s broad portfolio and deep expertise, businesses can securely and easily harness their data to gain actionable insights, create and monetize new revenue streams, and enable continuous improvement of existing lines of business.
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data management, business practices, data application, insights, business optimization
    
CDW-HPE Servers
Published By: Adverity     Published Date: Jun 15, 2018
Master Your Client's Data To Build An Advertising Agency For The Future This is the first part of our ebook Strategic Playbook For Data-driven Advertising Agencies. In this instalment we cover how agency executives can benefit from their client's data to maintain a sustainable, future-proof business in times of digital transformation. Scaling your business with Marketing Intelligence Building a data strategy to stay ahead of the curve Mastering the end-to-end data management process Once you decide to master your data, you will be rewarded with deep, meaningful insights and happy long-term clients that get the most out of their data. We know it’s worth it! Signup and download the 28-page pdf-document to understand how data will secure your spot in the future advertising industry.
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marketing business intelligence, saas marketing optimization, measuring marketing performance, roi analytics, automated report generator, performance based marketing, online marketing data, roi metrics
    
Adverity
Published By: Amazon     Published Date: Nov 07, 2013
Until recently, it has been far cheaper and easier to produce and store data than to process it. Companies have the option to buy large, multi-million dollar hardware devices to process their big data, but with budgets under pressure and no clear way to calculate returns on investment, the business case is difficult to make… And when analysts explain to the CTO that they only need the hardware for six months, for one day a week, or for one hour a day, the investment becomes impossible to justify. In this whitepaper, you’ll learn how by eliminating the traditionally high ‘cost of entry’ for big data analysis, Amazon Web Services is enabling customers to convert more raw data into more valuable business insight.
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amazon web services, aws, aws cloud, cloud services, cloud computing, big data, data management, data analysis
    
Amazon
Published By: Intralinks     Published Date: Oct 30, 2014
Are you struggling with finding an enterprise collaboration solution that’s both easy to use and secure enough for your organization to share information outside the firewall? With the infiltration of consumer devices and applications into the enterprise, it’s even more difficult to control access to confidential data while enabling employees to get work done. This 16-page Buyers Guide to Enterprise Collaboration addresses the three key drivers of the selection process: Risk management strategy Accelerating business productivity Improving IT efficiency Even if you are already in an RFP process, or just starting to figure out your requirements, this Buyers’ Guide provides insight into the factors you should be considering, keepi
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enterprise collaboration, firewall, risk management strategy, business productivity, it efficiency
    
Intralinks
Published By: Gigya     Published Date: Jun 20, 2014
This comprehensive eBook covers everything you need to know to develop a successful social login strategy that supports your business needs.
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social login, gamification, social plugin, rating and review software, user management tool, social user management software, social customer tool, social consumer data
    
Gigya
Published By: Gigya     Published Date: Jun 20, 2014
As marketers the world over share conflicting stories of social triumph and trial in the pages of leading industry pubs, rumors run rampant across this largely uncharted marketing territory. We’re busting 5 major social marketing myths that have made their way into mainstream marketing lore, and revealing proven facts and strategies to help guide your social efforts and execution.
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social login, gamification, social plugin, rating and review software, user management tool, social user management software, social customer tool, social consumer data
    
Gigya
Published By: IBM     Published Date: Aug 20, 2015
Understand the traits of successful performers and potential top talent. Using big data to uncover those traits reveals something surprising.
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big data, talent management, ibm recruitment, behavioral insights, potential top talent, impactful management, unique individual characteristics, human resources
    
IBM
Published By: Schneider Electric     Published Date: Aug 15, 2017
Schneider Electric is integrating datacenter infrastructure management (DCIM) software, big-data analytics and cloud services into the management of customers’ datacenters. Its recently launched StruxureOn cloud offering signals a new wave in datacenter operations, using a combination of machine learning, anomaly detection and event-stream playback to give operators real-time insights and alarming via their smartphones. More capabilities and features are planned, including predictive analysis and, eventually, automated action. Schneider’s long-term strategy is to build a partner ecosystem around StruxureOn, and provide digital services that span its traditional datacenter business.
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incident tracking, historical trending, troubleshooting, operational analysis, prediction model, schneider equipment, maintenance, firmware updates
    
Schneider Electric
Published By: SAS     Published Date: Mar 06, 2018
For data scientists and business analysts who prepare data for analytics, data management technology from SAS acts like a data filter – providing a single platform that lets them access, cleanse, transform and structure data for any analytical purpose. As it removes the drudgery of routine data preparation, it reveals sparkling clean data and adds value along the way. And that can lead to higher productivity, better decisions and greater agility. SAS adheres to five data management best practices that support advanced analytics and deeper insights: • Simplify access to traditional and emerging data. • Strengthen the data scientist’s arsenal with advanced analytics techniques. • Scrub data to build quality into existing processes. • Shape data using flexible manipulation techniques. • Share metadata across data management and analytics domains.
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SAS
Published By: SAS     Published Date: Mar 01, 2012
Learn what criteria distinguished certain companies as top performers within the SMB sector, the factors to consider when assessing your organization's BI competency and the required actions to achieve best-in-class performance.
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sas, analytics, business analytics, business intelligence, customer intelligence, data management, fraud & financial crimes, high-performance analytics
    
SAS
Published By: Intel Corporation     Published Date: Sep 10, 2014
Sponsored by: NEC and Intel® Xeon® processor The goal of ESG Lab reports is to educate IT professionals about emerging technologies and products in the storage, data management and information security industries. ESG Lab reports are not meant to replace the evaluation process that should be conducted before making purchasing decisions, but rather to provide insight into these emerging technologies. Our objective is to go over some of the more valuable feature/functions of products, show how they can be used to solve real customer problems and identify any areas needing improvement. ESG Lab's expert third-party perspective is based on our own hands-on testing as well as on interviews with customers who use these products in production environments. This ESG Lab report was sponsored by NEC Corporation of America. Intel, the Intel logo, Xeon, and Xeon Inside are trademarks or registered trademarks of Intel Corporation in the U.S. and/or other countries.
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lab, reports, improvement, storage, data, technologies, purchasing, valuable
    
Intel Corporation
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
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
Published By: IBM     Published Date: Nov 14, 2014
Data mining uncovers patterns in data through a variety of predictive techniques. By engaging in data mining, organizations like yours gain greater insight into external conditions, internal processes, your markets – and your customers.
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ibm, data mining, data management, business results, predictive intelligence, business insights
    
IBM
Published By: IBM     Published Date: Nov 14, 2014
IBM® SPSS® Modeler is a powerful, versatile data mining workbench that helps you gain unprecedented insight from your data.
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ibm, data mining, data management, business results, predictive intelligence, business insights
    
IBM
Published By: IBM     Published Date: Feb 10, 2015
Now that a majority of organizations realize a return on their analytics investments within a year, business executives are demanding data insights delivered at an accelerating speed.
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ibm strategy, big data, management consulting, analytics investments, data insights
    
IBM
Published By: IBM     Published Date: Apr 13, 2015
IDC Retail Insights defines omni-channel merchandise optimization as the set of technologies, data assets, skills, processes, and management intent required to develop and maintain sets of targeted and localized offers that best satisfy important business objectives. These goals include customer satisfaction, customer lifetime value, and category, channel, and corporate performance. By "offers," IDC Retail Insights means the broad set of attributes that characterize assortments, products, services, prices, utility, and convenience that match customers' buying criteria and shopping behaviors. Targeted and localized offers present a compelling "choice set" that satisfies and delights consumers. Download this white paper to read the questions posed by IBM to Greg Girard, program director of Omni-Channel Analytics Strategies at IDC Retail Insights, on behalf of IBM's customers.
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omni-channel merchandise, ibm, targeted offers, localized offers, customer satisfaction, corporate performance
    
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
    
IBM
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
    
IBM
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.
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ibm, mdm, big data, ibm infosphere
    
IBM
Published By: SAS     Published Date: Aug 28, 2018
“Unpolluted” data is core to a successful business – particularly one that relies on analytics to survive. But preparing data for analytics is full of challenges. By some reports, most data scientists spend 50 to 80 percent of their model development time on data preparation tasks. SAS adheres to five data management best practices that help you access, cleanse, transform and shape your raw data for any analytic purpose. With a trusted data quality foundation and analytics-ready data, you can gain deeper insights, embed that knowledge into models, share new discoveries and automate decision-making processes to build a data-driven business.
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SAS
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