business insights

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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: Jul 14, 2016
This video describes how data scientists, analysts and business users can save precious time by using a combination of SPSS and Spark to uncover and act on insights in big data.
Tags : ibm, data, analytics, predictive business, ibm spss, apache spark, coding, data science
     IBM
By: IBM     Published Date: Oct 13, 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, mdm advantagw, enterprise applications
     IBM
By: IBM     Published Date: Jan 27, 2017
Every day, torrents of data inundate IT organizations and overwhelm the business managers who must sift through it all to glean insights that help them grow revenues and optimize profits. Yet, after investing hundreds of millions of dollars into new enterprise resource planning (ERP), customer relationship management (CRM), master data management systems (MDM), business intelligence (BI) data warehousing systems or big data environments, many companies are still plagued with disconnected, “dysfunctional” data—a massive, expensive sprawl of disparate silos and unconnected, redundant systems that fail to deliver the desired single view of the business.
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     IBM
By: IBM     Published Date: Sep 28, 2017
Welcome to the era of the digital enterprise, where digital is your journey and cognitive is your destination. As business leaders, you are under growing pressure to use information to its fullest potential, delivering new customer experiences as fuel for business growth. The digital economy is changing the way we gather information, gain insights, reinvent our businesses and innovate both quickly and iteratively A hybrid cloud environment, combining traditional IT systems and public cloud, enables you to extend business processes beyond the walls of your organization. For example, many organizations use public cloud as a collaborative development environment to create innovative applications that can then be ported to an on-premises or hybrid production environment.
Tags : cognitive era, digital, database, hybrid cloud environment, public cloud
     IBM
By: Group M_IBM Q2'19     Published Date: Apr 03, 2019
Data is the lifeblood of business. And in the era of digital business, the organizations that utilize data most effectively are also the most successful. Whether structured, unstructured or semi-structured, rapidly increasing data quantities must be brought into organizations, stored and put to work to enable business strategies. Data integration tools play a critical role in extracting data from a variety of sources and making it available for enterprise applications, business intelligence (BI), machine learning (ML) and other purposes. Many organization seek to enhance the value of data for line-of-business managers by enabling self-service access. This is increasingly important as large volumes of unstructured data from Internet-of-Things (IOT) devices are presenting organizations with opportunities for game-changing insights from big data analytics. A new survey of 369 IT professionals, from managers to directors and VPs of IT, by BizTechInsights on behalf of IBM reveals the challe
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     Group M_IBM Q2'19
By: Group M_IBM Q2'19     Published Date: Apr 03, 2019
As the information age matures, data has become the most powerful resource enterprises have at their disposal. Businesses have embraced digital transformation, often staking their reputations on insights extracted from collected data. While decision-makers hone in on hot topics like AI and the potential of data to drive businesses into the future, many underestimate the pitfalls of poor data governance. If business decision-makers can’t trust the data within their organization, how can stakeholders and customers know they are in good hands? Information that is not correctly distributed, or abandoned within an IT silo, can prove harmful to the integrity of business decisions.
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     Group M_IBM Q2'19
By: TIBCO Software     Published Date: Jun 14, 2019
As recognized leader in master data management (MDM), and a pioneer in data asset management, TIBCO EBX™ software is an innovative, single solution for managing, governing, and consuming all your shared data assets. It includes all the enterprise class capabilities you need to create data management applications including user interfaces for authoring and data stewardship, workflow, hierarchy management, and data integration tools. And it provides an accurate, trusted view of business functions, insights, and decisions to empower better decisions and faster, smarter actions. Download this datasheet to learn: What makes EBX™ software unique Various capabilities of EBX software The data it manages
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     TIBCO Software
By: KPMG     Published Date: Jul 10, 2018
Robotic process automation (RPA) promises huge gains for business services, including lower costs, better market insight and an improved customer experience. But implementing RPA requires a clear plan of action. Download this guide to: • understand the different types of automation • rethink myths around automation that could be holding you back • plan the first 100 days of your RPA journey • understand how to manage change as you integrate ‘bots’ into your workforce • get key insights from more than 50 automation projects worldwide.
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     KPMG
By: Cornerstone OnDemand     Published Date: Mar 27, 2017
We have a world of technology at our fingertips, but is it actually leading to stronger, more agile organisations? How do these new tools serve as the catalysts for more productivity and greater executions of companies’ larger marketplace ambitions? In the brief "4 Trends Redefining Performance Management,” we cover: 1. Embracing the digital transformation 2. Rethinking performance management 3. Rising employee engagement 4. Business insights Download the brief to learn how you can expand HR's role in boosting company success.
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     Cornerstone OnDemand
By: Teradata     Published Date: Jul 30, 2013
This paper examines the obstacles that make interactive customer management a challenge for many insurance carriers. It describes how they can create a more customer-centric business by using a sophisticated analytics platform to uncover valuable insights into their business and provides concrete examples of specific areas where insurers gain value. The adoption of a customer-centric approach need not be accomplished all at once. Rather, it can be managed and self-funded by following a roadmap that delivers incremental capabilities and revenue.
Tags : insurance policies, integrated data warehousing, interactive customer management, customer management, insurance carriers
     Teradata
By: Visier     Published Date: Nov 04, 2014
An analytics revolution is upon us. Knowledge workers are in short supply, the competition for talent has gone global; turnover is rising; and employee engagement is stagnant at best. How can companies attract, retain, and develop employees who can drive business results and have the data to back up these decisions? A recent survey found more than 80% of respondents said that they needed talent-related insights to make business decisions. Yet most enterprises still base talent decisions on gut feeling. Few can offer analytic evidence to support their hunches. Now, finally, analytics are beginning to drive decisions about people.
Tags : visier, workforce analytics, hr metrics, planning
     Visier
By: MarkLogic     Published Date: Mar 13, 2015
Big Data has been in the spotlight recently, as businesses seek to leverage their untapped information resources and win big on the promise of big data. However, the problem with big data initiatives are that organizations try using existing information management practices and legacy relational database technologies, which often collapse under the sheer weight of the data. In this paper, MarkLogic explains how a new approach is needed to handle the volume, velocity, and variety of big data because the current relational model that has been the status quo is not working. Learn about the NoSQL paradigm shift, and why NoSQL is gaining significant market traction because it solves the fundamental challenges of big data, achieving better performance, scalability, and flexibility. Learn how MarkLogic’s customers are reimagining their data to: - Make the world more secure - Provide access to valuable information - Create new revenue streams - Gain insights to increase market share - Reduce b
Tags : enterprise, nosql, relational, databases, data storage, management system, application, scalable
     MarkLogic
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. To perform data discovery and exploration, use analytics to define desired business outcomes, and derive insights to help attain those outcomes, users need good, relevant data. Executives, managers, and other professionals are reaching for self-service technologies so they can be less reliant on IT and move into advanced analytics formerly limited to data scientists and statisticians. However, 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.
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     Waterline Data & Research Partners
By: ServiceNow     Published Date: Jan 17, 2017
A self-service experience helps IT and business users do more, and do it better, at a lower cost This eBook, “Consumerize the User Experience,” distills insights from the ServiceNow user community that can help you rapidly deploy an improved self-service experience while maximizing your short, medium, and long-term benefits. Learn best practices to: • Create a self-service portal where users can report issues, make requests, ask questions, and check request status • Define the service catalog to accurately reflect details of supported services, such as: scope, cost, service level agreements (SLAs), dependencies, and more • Automate knowledge sharing for better service and less hunting for information
Tags : it management, it automation, it ticketing, help desk, service desk, itsm, it service management, management
     ServiceNow
By: SAP     Published Date: Jul 18, 2016
Retail is a data-intensive industry. Knowing the customer better than competition and having the ability to orchestrate business decisions is the new retail competitive battlefield. Read the white paper to learn customer insights on the future of retail analytics.
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     SAP
By: SAP     Published Date: Jul 18, 2016
To determine the status of Analytics and Business Intelligence in the Cloud, Enterprise Management Associates (EMA) embarked on an end-user research study to look at the current state of cloud-based analytics. Read the white paper to discover panelists’ insights on cloud-based analytics, business intelligence strategies, and implementation practices.
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     SAP
By: IBM     Published Date: Oct 28, 2016
Watch this complimentary, on-demand 30 minute demo to see how you can: - Use HR analytics to redefine the way you manage your talent and help drive better business results. - Gain deep insights from your talent data without having to dig through mountains of reports. - Know exactly what data to explore to get the very best answers to your talent questions. - Answer your CEO's questions about the workforce in minutes, not months.
Tags : ibm, kenexa, talent insights, talent analytics, enterprise applications
     IBM
By: Genesys     Published Date: Feb 27, 2018
What if the cloud could radically improve your customer’s experience, your operations, and your bottom line? There’s a reason why many organizations are taking advantage of the benefits of cloud for contact centers. This eBook, focuses on two profiles for small contact centers, small business and small of large - a small contact center that is part of a much larger enterprise. Get key insights from independent market research that will help you make a case to take your customer communications platform to the cloud. With the right solution, your business can benefit from enterprise-quality capabilities at a price you can afford. And you can realize a return on investment in as little as three months! Download this eBook and learn: • How to calculate ROI and time-to-value in different types of small contact center profiles • What factors to consider when selecting a cloud vendor • Three common myths about the cloud
Tags : ebook, cloud, customer experience
     Genesys
By: IBM     Published Date: Jan 18, 2017
Data matters more than ever to business success. But value does not come from data alone. Rather, it comes from the insights enabled by data. No matter what your role is, or where you are in your data journey, you are looking for ways to drive innovation.
Tags : ibm, analytics, aps data, open data science, data science, apache spark, enterprise applications
     IBM
By: IBM     Published Date: Mar 20, 2017
"Is your premium video content really secure? Don’t let security blind spots compromise your content – or business. Download the latest installment in IBM Cloud Video’s OTT Success Series and discover insights around: -Business logic security and why it matters more than ever -The importance of matching the proper level of security with your intended content use case -New security considerations – and solutions – associated with migration to the cloud"
Tags : ott. security, ibm, content security, cloud, cloud migration
     IBM
By: IBM     Published Date: Apr 10, 2017
"Is your premium video content really secure? Don’t let security blind spots compromise your content – or business. Download the latest installment in IBM Cloud Video’s OTT Success Series and discover insights around: -Business logic security and why it matters more than ever -The importance of matching the proper level of security with your intended content use case -New security considerations – and solutions – associated with migration to the cloud"
Tags : ibm cloud video, premium content, cloud migration, security, content
     IBM
By: IBM     Published Date: Aug 24, 2017
Data governance is all about managing data, by revising that data to standardize it and bring consistency to the way it is used across numerous business initiatives. What’s more, data governance ensures that critical data is available at the right time to the right person, in a standardized and reliable form. A benefit that fuels better organization of business operations, resulting in improved productivity and efficiency of that organization. Thus, the importance of proper data governance cannot be understated. The concepts of data governance have evolved, where the first iteration of data governance, often referred to as version 1.0, focused on three simplistic elements: objectives, structure and processes; having a limited focus and scope due to its tactical usage. The opportunity from the growing value of data in the realm of analytics, business intelligence, and generating insights was left unrealized. Today, organizations are moving towards what can be called Data Governance 2.0,
Tags : ibm, unified governance strategy, data management, data governance
     IBM
By: IBM     Published Date: Sep 11, 2017
There's a new wave of work automation now starting to impact businesses. Yes, partly this is enabled by Machine Learning technologies and techniques: but there's more to it. The new wave of automation brings advances in interaction, insights and integration. This report lays out the landscape.
Tags : work automation, machine learning, integration, interaction, automation
     IBM
By: IBM     Published Date: Oct 17, 2017
Every day, torrents of data inundate IT organizations and overwhelm the business managers who must sift through it all to glean insights that help them grow revenues and optimize profits. Yet, after investing hundreds of millions of dollars into new enterprise resource planning (ERP), customer relationship management (CRM), master data management systems (MDM), business intelligence (BI) data warehousing systems or big data environments, many companies are still plagued with disconnected, “dysfunctional” data—a massive, expensive sprawl of disparate silos and unconnected, redundant systems that fail to deliver the desired single view of the business. To meet the business imperative for enterprise integration and stay competitive, companies must manage the increasing variety, volume and velocity of new data pouring into their systems from an ever-expanding number of sources. They need to bring all their corporate data together, deliver it to end users as quickly as possible to maximize
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     IBM
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