analytics organizations

Results 76 - 100 of 227Sort Results By: Published Date | Title | Company Name
By: IBM     Published Date: Jul 26, 2017
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. 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-centric 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 : customer analytics, data matching, big data, competitive advantage, customer loyalty
     IBM
By: IBM     Published Date: Apr 18, 2017
Learn from this TDWI paper how right-sized information governance can improve the success of data warehousing or big data analytics initiatives, and how a chief data officer can help organizations to appreciate the value of data and its importance to their decisions and operations.
Tags : system integration, data governance, data optimization, data efficiency, data currency, data lineage, data security, data integration
     IBM
By: EMC Corporation     Published Date: Jul 07, 2013
Businesses that exploit Big Data to improve strategy and execution are distancing themselves from competitors. The Big Data solution from EMC provides market-leading, scale-outing storage, a unified analytics platform, and business process and application development tools. Together, these allow organizations to draw deeper insights and become a more predictive organization.
Tags : emc, big data, strategy improvement, market leader, scale-outing storage, analytics platform, technology, application development
     EMC Corporation
By: EMC Corporation     Published Date: Jul 07, 2013
Forward-looking enterprises know there's more to big data than strong and managing large volumes of information. Big data presents an opportunity to leverage analytics and experiment with all available data to derive value never before possible with traditional business intelligence and data warehouse platforms. Through a modern, big data platform that facilitates self-service and collaborative analytics across all data, organizations become more agile and are able to innovate in new ways.
Tags : enterprises, storage, information management, technology, platform, big data analytics, emc, self service
     EMC Corporation
By: EMC Corporation     Published Date: Jul 07, 2013
While the concept of big data is nothing new, the tools and technology and now in place for companies of all types and sizes to take full advantage. Enterprises in industries such as media, entertainment, and research and development have long been dealing with data in large volumes and unstructured formats - data that changes in near real time. However, extracting meaning from this data has been prohibitive, often requiring custom-built, expensive technology. Now, thanks to advancements in storage and analytics, all organizations can leverage big data to gain the insight needed to make their businesses more agile, innovative, and competitive.
Tags : big data, emc, technology, storage, analytics, data management, security, platforms
     EMC Corporation
By: Anaplan     Published Date: Apr 06, 2016
A Harvard Business Review Analytics Services White Paper Finance is constantly tested to keep pace in today’s business environment. To keep up, planning needs to become a continuous process that spans departmental boundaries and enables managers to collectively realign resources to respond to market changes. Organizations must streamline disparate sales and operational planning with traditional financial planning and analysis by using technology to connect people, data, and processes across the organization. Download this white paper to discover the three steps to moving towards finance-led integrated business planning recommended by the Harvard Business Review.
Tags : analytics, planning, cfo, operations, business practices, revenue, growth, enterprise business
     Anaplan
By: Splunk     Published Date: Dec 11, 2018
Predictive IT is a powerful new approach that uses machine learning and artificial intelligence (AI) to predict incidents before they impact customers and end users. By using AI and predictive analytics, IT organizations are able to deliver seamless customer experiences that meet changing customer behavior and business demands. Discover the critical steps required to build your IT strategy, and learn how to harness predictive analytics to reduce operational inefficiencies and improve digital experiences. Download this executive brief from CIO to learn: 5 steps to an effective predictive IT strategy Where AI can help, and where it can’t How to drive revenue and exceptional customer experiences with predictive analytics
Tags : predictive it, predictive it tools, predictive analytics for it, big data and predictive analytics
     Splunk
By: IBM APAC     Published Date: May 14, 2019
Clients can realize the full potential of artificial intelligence (AI) and analytics with IBM’s deep industry expertise, technology solutions and capabilities and start to infuse intelligence into virtually every business decision and process. IBM’s AI & Analytics Services organization is helping enterprises get their data ready for AI and ultimately achieve stronger data-driven decisions; access deeper insights to provide improved customer care; and develop trust and confidence with AI-powered technologies focused on security, risk and compliance. Artificial intelligence (AI) is moving beyond the hype cycle, as more and more organizations seek to adopt AI-related technologies. These organizations are focusing on prioritizing functional areas and use cases, placing a stronger emphasis on topline growth, taking up a renewed interest in their data infrastructure and articulating greater unease about the skills of their knowledge workers. This report explores how they are approaching str
Tags : 
     IBM APAC
By: IBM     Published Date: Apr 01, 2016
Traditional business intelligence (BI) looks backward at what has happened. In today’s marketplace, enterprises need to look ahead. In this eGuide from TDWI, you'll discover how advances in predictive analytics are enabling organizations to use insights about the past and present to make accurate predictions about the future.
Tags : ibm, business intelligence, ibm connect, predictive analytics, enterprise applications
     IBM
By: IBM     Published Date: Apr 19, 2016
This white paper describes how IBM’s Pure Data System for Analytics delivers speed and simplicity to help organizations become more responsive and agile in today’s increasingly mobile and data-driven market.
Tags : ibm, ibm pure data system, big data, data analytics, analytics architecture, data management
     IBM
By: IBM     Published Date: Apr 19, 2016
The use of analytics will define the successful midmarket business of the next decade, just as it will define the successful larger organization in this information age. The past decade has seen rapid change in the business climates with an explosion of global competition and economic uncertainty. Despite this, many midmarket companies have thrived by using their size and agility as a competitive advantage. Certainly they have fewer resources than large corporations who are able to invest large sums in IT. However, small yachts can turn and adjust their course much quicker than large cruise ships. The same came be said for midmarket companies. The most successful organizations are ones that can react the quickest to changes in the market place. Midmarket companies can take advantage of their smaller size by being more agile and quicker to change, or even reinvent themselves, to respond to the market.
Tags : ibm, ibm pure data system, big data, data analytics, analytics architecture, competitive advantage, midmarket organization, data management
     IBM
By: IBM     Published Date: Jul 05, 2016
This white paper describes how IBM’s Pure Data System for Analytics delivers speed and simplicity to help organizations become more responsive and agile in today’s increasingly mobile and data-driven market.
Tags : ibm, ibm pure data system, big data, data analytics, analytics architecture, enterprise applications, data management, data center
     IBM
By: IBM     Published Date: Jul 08, 2016
Big data analytics offer organizations an unprecedented opportunity to derive new business insights and drive smarter decisions. The outcome of any big data analytics project, however, is only as good as the quality of the data being used. Although organizations may have their structured data under fairly good control, this is often not the case with the unstructured content that accounts for the vast majority of enterprise information. Good information governance is essential to the success of big data analytics projects. Good information governance also pays big dividends by reducing the costs and risks associated with the management of unstructured information. This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
Tags : ibm, idc, big data, data, analytics, information governance, data management, data center
     IBM
By: IBM     Published Date: Oct 13, 2016
This white paper describes how IBM’s Pure Data System for Analytics delivers speed and simplicity to help organizations become more responsive and agile in today’s increasingly mobile and data-driven market.
Tags : ibm, ibm pure data system, big data, data analytics, analytics architecture, enterprise applications, data management, data center
     IBM
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: 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: 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
By: Visier     Published Date: Nov 04, 2014
With workforce analytics, HR professionals can play a more pivotal role in their organizations to help direct senior management and hiring managers in connecting the dots between their company’s overall performance and their investment in their workforce. Workforce analytics empower HR professionals to shift from being an operational function to becoming more of a strategic role within their organization. Workforce analytics uncovers deep insights into workforce data by drilling down into the data and highlighting both patterns of success to be repeated and patterns of failure that could lead to risk and impact. Go from intuition- to fact-based workforce decision-making with this comprehensive guide to workforce analytics. This eBook includes advice on how to get started, tips to ensure successful implementation, and key recommendations for finding the right solution
Tags : visier, workforce analytics, hr metrics, planning
     Visier
By: Waterline Data & Research Partners     Published Date: Nov 07, 2016
Business users want the power of analytics—but analytics can only be as good as the data. The biggest challenge nontechnical users are encountering is the same one that has been a steep challenge for data scientists: slow, difficult, and tedious data preparation. The increasing volume, variety, and velocity of data is putting pressure on organizations to rethink traditional methods of preparing data for reporting, analysis, and sharing. Download this white paper to find out how you can improve your data preparation for business analytics.
Tags : 
     Waterline Data & Research Partners
By: ServiceNow     Published Date: Apr 12, 2017
Read The Total Economic Impact™ of ServiceNow, an April 2017 commissioned study conducted by Forrester Consulting on behalf of ServiceNow, to understand the benefits, costs, and risks associated with the following ServiceNow solutions: IT Service Management, IT Operations Management, and Performance Analytics. The study, commissioned by ServiceNow, covers key findings in these three categories: Modernizing IT Service Management Eliminating Service Outages Optimizing Performance with Real?time Analytics Forrester interviewed seven current ServiceNow customers with years of experience using the solutions identified above. The purpose of the study is to provide potential customers with a framework to evaluate the real world customer experience and economic impact of the Now platform on their organizations.
Tags : operations management, performance analytics, it management, it automation, it ticketing, help desk, service desk, itsm
     ServiceNow
By: IBM     Published Date: Jul 05, 2016
The use of analytics will define the successful midmarket business of the next decade, just as it will define the successful larger organization in this information age. The past decade has seen rapid change in the business climates with an explosion of global competition and economic uncertainty. Despite this, many midmarket companies have thrived by using their size and agility as a competitive advantage. Certainly they have fewer resources than large corporations who are able to invest large sums in IT. However, small yachts can turn and adjust their course much quicker than large cruise ships. The same came be said for midmarket companies. The most successful organizations are ones that can react the quickest to changes in the market place. Midmarket companies can take advantage of their smaller size by being more agile and quicker to change, or even reinvent themselve
Tags : ibm, ibm pure data system, big data, data analytics, analytics architecture, competitive advantage, midmarket organization, data management
     IBM
By: Oracle     Published Date: Oct 20, 2017
What do these market-defining trends have in common? · Analytics for all · Analytics as competitive differentiator · Internet of Things · Artificial intelligence/Machine learning/Cognitive computing · Real-time analytics/event management They all rely on data – timely, accurate data delivered within an insightful context – to deliver value. The question is: who in the enterprise is most qualified and prepared to help deliver on the vision and values of the data-driven enterprise? It’s going to take a special type of professional to deliver that value to enterprises. Organizations are seeking professionals to step forward and take the lead, provide guidance and lend expertise to move into the brave new world of digital. The move to digital and all that it entails – sophisticated data analytics, online customer engagement and digital process efficiency – requires, above all, the skills and knowledge associated with handling data and turning it into insights. The move to digital is also a
Tags : 
     Oracle
By: VMware     Published Date: Jun 04, 2019
What started as “digital” transformation has blossomed into a trend that’s driving organizations to become “digital businesses.” Using emerging technologies like analytics, machine learning, and an on-demand approach to delivering IT services, many organizations are moving to a cloud model to implement this transformation. Organizations that leverage the cloud can accelerate product development, speed innovation, and empower workers to be more productive.
Tags : 
     VMware
By: Determine (Selectica)     Published Date: Jun 29, 2017
Cloud-based solutions are revolutionizing the way that enterprises conduct business. These web-based versions of common business tools, like analytics or document management tools, retain most or all of the functionality of their desktop versions and provide significant access, customization, and utility to end users. More organizations are ditching on-premises solutions and adopting cloud-based tools, also known as Software-as-a-Service (SaaS), "hosted," or "on-demand" solutions. The are becoming invaluable assets in today's agile and mobile workforce.
Tags : 
     Determine (Selectica)
By: IBM     Published Date: Jan 11, 2017
Download this eBook to learn: - How the use of advanced analytics generates powerful insights to stay ahead of evolving cyber threats - Why Cyber Threat Analysis is the most effective defensive strategy - How analysts benefit from the use of sophisticated data visualization to identify hidden threat relationships and patterns - Why shifting from attack prevention to mitigation is a more practical goal for commercial organizations
Tags : ibm, analytics, public sector, security, cyber threat, cyber threat analysis, risk, enterprise applications
     IBM
Start   Previous    1 2 3 4 5 6 7 8 9 10    Next    End
Search White Papers      

Add White Papers

Get your white papers featured in the insideHPC White Paper Library contact: Kevin@insideHPC.com