data analytics

Results 376 - 400 of 1200Sort Results By: Published Date | Title | Company Name
By: IBM     Published Date: Jan 27, 2017
High-priority big data and analytics projects often target customer-centric outcomes such as improving customer loyalty or improving up-selling. In fact, an IBM Institute for Business Value study found that nearly half of all organizations with active big data pilots or implementations identified customer-c entric outcomes as a top objective (see Figure 1).1 However, big data and analytics can also help companies understand how changes to products or services will impact customers, as well as address aspects of security and intelligence, risk and financial management, and operational optimization.
Tags : 
     IBM
By: IBM     Published Date: Jan 27, 2017
While any number of reasons can prompt a change in data warehouse solutions, there are four key facts you need to know to help you make the right choice: 1. Complexity stifles business 2. Speed is business-friendly 3. Cost reduction is crucial 4. Analytics: The key to current and future success This e-book will explore those facts and explain why they are essential when evaluating your data warehouse options.
Tags : 
     IBM
By: IBM     Published Date: Mar 29, 2017
Not just some data—all of it. Internal, external, structured, unstructured, historical, real-time. And what if you could do it without a huge infrastructure project? You can. Take a closer look at how three companies capitalized on more data—almost instantly—with IBM® BigInsights® on Cloud.
Tags : analyze, data, cloud, ibm, analytics
     IBM
By: IBM     Published Date: Apr 18, 2017
The data integration tool market was worth approximately $2.8 billion in constant currency at the end of 2015, an increase of 10.5% from the end of 2014. The discipline of data integration comprises the practices, architectural techniques and tools that ingest, transform, combine and provision data across the spectrum of information types in the enterprise and beyond — to meet the data consumption requirements of all applications and business processes. The biggest changes in the market from 2015 are the increased demand for data virtualization, the growing use of data integration tools to combine "data lakes" with existing integration solutions, and the overall expectation that data integration will become cloud- and on-premises-agnostic.
Tags : data integration, data security, data optimization, data virtualization, database security, data analytics, data innovation
     IBM
By: IBM     Published Date: Sep 28, 2017
Here are the 6 reasons to change your database: Lower total cost of ownership Increased scalability and availability Flexibility for hybrid environments A platform for rapid reporting and analytics Support for new and emerging applications Greater simplicity Download now to learn more!
Tags : scalability, hybrid environment, emerging applications, rapid reporting
     IBM
By: Group M_IBM Q1'18     Published Date: Dec 19, 2017
As organizations develop next-generation applications for the digital era, many are using cognitive computing ushered in by IBM Watson® technology. Cognitive applications can learn and react to customer preferences, and then use that information to support capabilities such as confidence-weighted outcomes with data transparency, systematic learning and natural language processing. To make the most of these next-generation applications, you need a next-generation database. It must handle a massive volume of data while delivering high performance to support real-time analytics. At the same time, it must provide data availability for demanding applications, scalability for growth and flexibility for responding to changes.
Tags : database, applications, data availability, cognitive applications
     Group M_IBM Q1'18
By: Group M_IBM Q1'18     Published Date: Dec 19, 2017
For increasing numbers of organizations, the new reality for development, deployment and delivery of applications and services is hybrid cloud. Few, if any, organizations are going to move all their strategic workloads to the cloud, but virtually every enterprise is embracing cloud for a wide variety of requirements. To accelerate innovation, improve the IT delivery economic model and reduce risk, organizations need to combine data and experience in a cognitive model that yields deeper and more meaningful insights for smarter decisionmaking. Whether the user needs a data set maintained in house for customer analytics or access to a cloud-based data store for assessing marketing program results — or any other business need — a high-performance, highly available, mixed-load database platform is required.
Tags : cloud, database, hybrid cloud, database platform
     Group M_IBM Q1'18
By: Oracle     Published Date: Dec 30, 2018
The finance team’s data analytics skills put CFOs in the driving seat of digital change. Read the Economist Intelligence Unit report now to learn: • How finance helps other business units meet their digital ambitions • Why finance needs to make data visible across the business • Why it’s important to develop metrics for digital success Download now
Tags : 
     Oracle
By: Oracle     Published Date: Mar 01, 2019
After talking to 27 leading CFOs, the Economist Intelligence Unit finds that the finance team’s data analytics skills put the CFO in the driving seat of digital change. The result is that the CFO has a new responsibility to: • Help other business units meet their digital ambitions • Make relevant data visible across the business • Develop goals and metrics for digital success Watch the webinar
Tags : 
     Oracle
By: KPMG     Published Date: Jul 10, 2018
As organisations increasingly leverage data, sophisticated analytics, robotics and AI in their operations, we ask who should be responsible for trusted analytics and what good governance looks like. Read this report to discover: • the four key anchors underpinning trust in analytics – and how to measure them • new risks emerging as the use of machine learning and AI increases • how to build governance of AI into core business processes • eight areas of essential controls for trusted data and analytics.
Tags : 
     KPMG
By: KPMG     Published Date: Jul 10, 2018
The real value of i4.0 comes from the integration of automation, data, analytics, manufacturing and products in a way that unlocks new business and operating models. Are you ready for the next industrial revolution? Read this report to find out: • why deep pockets alone won’t ensure i4.0 success • how to scale up projects and capabilities to drive enterprise-level value • what capabilities, controls and culture are required to support i4.0 success • how to unlock value by integrating smart processes and smart products • how to bring suppliers and value chain players into the i4.0 environment.
Tags : 
     KPMG
By: KPMG     Published Date: Jul 11, 2018
As organisations increasingly leverage data, sophisticated analytics, robotics and AI in their operations, we ask who should be responsible for trusted analytics and what good governance look like? Read this report to discover: • the four key anchors underpinning trust in analytics – and how to measure them • new risks emerging as the use of machine learning and AI increases • how to build governance of AI into core business processes • eight areas of essential controls for trusted data and analytics. Download the report now:
Tags : 
     KPMG
By: F5 Networks Inc     Published Date: Mar 30, 2018
It seems like every day there’s another article about IoT, big data analytics, and cloud architectures—and their unlimited potential for companies trying to gain a competitive edge in this digital world. If your business is in the midst of a digital transformation (and chances are, it is), you’re probably already enjoying some the benefits of the public cloud: economies of scale, preconfigured solutions that can be spun up with a few clicks, utility billing, and more. What you may not have heard, however, is how the shared security model of the public cloud affects your security responsibilities —and how it can be used to your advantage in these multicloud environments.
Tags : roi, cloud, security, architectures, business, economies
     F5 Networks Inc
By: EMC Corporation     Published Date: May 27, 2014
ESG Whitepaper: New security risks and old security challenges often overwhelm legacy security controls and analytical tools. This ESG white paper discusses why today's approach to security management—that depends on up-to-the-minute situational awareness and real-time security intelligence—means organizations are entering the era of big data security analytics.
Tags : emc, security operations, security analytics, intelligence-driven security, threat detection, security monitoring, critical incident response, security, data center
     EMC Corporation
By: Pentaho     Published Date: Aug 29, 2016
This white paper covers the many options available for modernizing a data warehouse.
Tags : 
     Pentaho
By: Teradata     Published Date: Jun 12, 2013
Nationwide Mutual Insurance Company operates in a very competitive industry, so it must constantly prepare to meet new challenges as well as build on past successes, maximizing ever asset including its information. In fact, Nationwide's vision - the recognition of its information as a strategic asset - has proved to be a key factor in the company's success. Download this paper to learn more.
Tags : big data, big data analytics, customer relationships, customer knowledge store
     Teradata
By: Teradata     Published Date: Jun 12, 2013
Until now, huge amounts of data have been ignored or underutilized simply because the tools didn't exist to make sense of it all. The good news is that increasingly sophisticated software is combining with growing computing horsepower to produce new analytics platforms that can handle all types of data from disparate systems Organizations can extract intelligence from their data to significantly outperform their rivals on growth, earnings, and performance.
Tags : unified data architecture, big data, analytics
     Teradata
By: Teradata     Published Date: Jun 12, 2013
This paper takes a look at the hard truths and common misconceptions surrounding big data. In particular, it focuses on five common myths about large-scale analytics, athen offers a glimpse at the next steps necessary to make big data work for you.
Tags : big data, big data analytics, data driven marketing
     Teradata
By: Teradata     Published Date: Jun 12, 2013
Download this paper to learn how Unified Data Architecture™ can bridge the gap between the business language of SQL, the extreme processing power of MapReduce, and the big data residing in Hadoop to provide a unified, high-performance big data analytics system for the enterprise.
Tags : data, big data, unified data architecture
     Teradata
By: Teradata     Published Date: Jun 12, 2013
This whitepaper details how BCBSNC leverages its Teradata environment to achieve key strategic goals.
Tags : big data, analytics, healthcare
     Teradata
By: Teradata     Published Date: Jun 12, 2013
Health plans and insurers know that to thrive over the next 3-5 years, they must dramatically improve their ability to engage with individual consumers. The combination of Teradata products; an integrated data warehouse, Aster big data analytics and Aprimo integrated communication management, creates actionable analytic capabilities unparalleled in its ability to help companies achieve these goals. this white paper details how health plans and insurers can use Teradata to succeed in today’s healthcare environment.
Tags : healthcare, data, insights, health plans, integrated data
     Teradata
By: Teradata     Published Date: Jun 14, 2013
Download this paper for an in-depth look at how advances in mHealth technology and the use of biometric data analytics are important to improving the overall healthcare system.
Tags : biometric data analysis, mobile healthcare, healthcare, mhealth, biometric data
     Teradata
By: Teradata     Published Date: Jun 14, 2013
This paper explains how customer relationships can be threatened by lack of insight into their behaviors and preferences and how financial services organizations can use data analytics and customer-centric marketing to improve these relationships and drive business.
Tags : customer data analytics, data driven marketing, customer relationships, customer centric marketing
     Teradata
By: Oracle     Published Date: Sep 21, 2016
This white paper shows how to use your big data analytics and smooth procurement systems as a launchpad to holding your own in the Digital Age.
Tags : 
     Oracle
By: Oracle     Published Date: Jul 31, 2017
Consolidation in the healthcare industry has reached a record pace. The volume of organizational change has generated solid templates and best practices for change management. In addition, technological advances provide opportunities for sophisticated data analytics and systems integrations. By identifying and taking advantage of these technologies, healthcare organizations can increase the odds of successful integrations that result in greater agility decrease their cost base, and improve the quality of care they provide.
Tags : 
     Oracle
Start   Previous    9 10 11 12 13 14 15 16 17 18 19 20 21 22 23    Next    End
Search White Papers      

Add White Papers

Get your white papers featured in the Energy Efficiency Markets White Paper Library contact: Kevin@EnergyEfficiencyMarkets.com