business analytics

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Published By: IBM     Published Date: Apr 11, 2016
This paper explores why your business needs the latest operational decision management (ODM) solutions to help turn data insights into action. Discover how IBM Operational Decision Manager software and the IBM Business Process Manager platform work together to: *Recognize patterns that suggest opportunity or risk *Create and shape business events by automating decisions *Bring more dimension and precision to decision making by applying analytics to big data *Help you implement the right business processes by understanding data in context.
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ibm, smarter process, operational decision management, odm, knowledge management, enterprise applications, business technology
    
IBM
Published By: IBM     Published Date: Apr 22, 2016
This white paper explains the value of putting data and insight to work to accelerate an organization’s journey to becoming a Cognitive Business, by enhancing their investments in data and analytics and realizing new opportunities from cognitive systems that understand, reason and learn.
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ibm, ibm analytics, cognitive business, watson, think data, knowledge management, enterprise applications, data management, business technology
    
IBM
Published 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.
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ibm, idc, big data, data, analytics, information governance, knowledge management, data management, data center
    
IBM
Published 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.
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IBM
Published 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.
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IBM
Published By: Sage     Published Date: Nov 02, 2017
These are the end times for traditional enterprise resource planning (ERP) solutions. Overstatement? Not really—especially for growing businesses like yours. Old-school ERP systems are simply too slow, complex, and inflexible to keep up with today’s business climate. Think about your existing ERP. Does it support industry-specific best practices, ever-changing regulatory requirements, and emerging technologies such as social media, mobile, cloud, and analytics? If not, you could risk losing ground to your competitors as a result.
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workflow software, performance indecator, monitor and analyse performance, enterprise resource planning, financial management services, business transformation, competitive/swot analysis, small business accounting, audits, account reconciliation, accounting automation, accounting audits, financial systems, contract lifecycle management, business intelligence, business analytics
    
Sage
Published By: Sage     Published Date: Nov 02, 2017
Did you ever wonder what enterprise resource planning or ERP is and how it can help your business? Or perhaps you know a little about ERP but you’re not sure if you should opt for an on-premise or cloud solution and what to expect from your final choice. Don’t worry. If you’re a business owner, manager or director in a mid-sized or growing business and you’re confused about ERP, this guide will help you.
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workflow software, performance indecator, monitor and analyse performance, enterprise resource planning, financial management services, business transformation, competitive/swot analysis, small business accounting, audits, account reconciliation, accounting automation, accounting audits, financial systems, contract lifecycle management, business intelligence, business analytics
    
Sage
Published By: Sage     Published Date: Nov 02, 2017
Forrester Consulting provides independent and objective research-based consulting to help leaders succeed in their organizations. Ranging in scope from a short strategy session to custom projects, Forrester’s Consulting services connect you directly with research analysts who apply expert insight to your specific business challenges. For more information, visit forrester.com/consulting.
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workflow software, performance indecator, monitor and analyse performance, enterprise resource planning, financial management services, business transformation, competitive/swot analysis, small business accounting, audits, account reconciliation, accounting automation, accounting audits, financial systems, contract lifecycle management, business intelligence, business analytics
    
Sage
Published By: IBM APAC     Published Date: Aug 25, 2017
The world of business analytics is evolving rapidly, and while there are multiple emerging trends of note, two stand out as particularly impactful. First, there is an expanding and increasingly diverse audience of users that are becoming more analytically active. From mid-level Line-of-Business staff to senior executives on mahogany row, more users in more job functions are taking an increased level of ownership in the insight that fuels their decisions and the underlying data that supports that insight.
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data integration, data security, data optimization, data virtualization, database security
    
IBM APAC
Published By: Teradata     Published Date: Jun 12, 2013
In March of 2011, CFO Research Services conducted a survey among more than 200 senior finance executives primarily in the United States to explore how well companies' information systems are supporting finance executives' ongoing efforts to transform the finance function into a value-added partner to the business. Especially in the aftermath of a worldwide recession, do CFOs and their staffs have the information they need to deliver real business value throughout the organization? How well equipped are they to provide the kinds of critical and useful business analytics that can drive the company forward? Download this paper to learn the findings of our research.
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financial analytics, teradata, it complexity
    
Teradata
Published 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.
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data, big data, unified data architecture
    
Teradata
Published 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.
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insurance policies, integrated data warehousing, interactive customer management, customer management, insurance carriers
    
Teradata
Published 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.
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visier, workforce analytics, hr metrics, planning
    
Visier
Published By: Visier     Published Date: Nov 04, 2014
Read an industry report or blog post on hot HR trends and technologies today, and you are bound to see workforce analytics near the top. Analysts and commentators agree: workforce analytics has become a “must have” tool for HR and a key component of delivering business value. But how do you get started with this complex topic? By thinking through the first four steps, you can develop the requirements to support the fifth step: selecting the right workforce analytics solution for your organization. Download this white paper, Five Steps to Getting Started with Workforce Analytics, to find out how you can simplify and accelerate your journey from HR metrics to workforce analytics.
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visier, workforce analytics, hr metrics, planning
    
Visier
Published By: K2     Published Date: Aug 24, 2015
This complementary template focuses on the eight key areas for business process automation success to help you evaluate the quality of the platforms you are considering – and to ensure that the system you choose is agile and flexible enough to meet your business needs. WORKFLOW TOOLS AND FEATURES FORMS INTEGRATION AND DATA SECURITY MOBILE USER AND RUN-TIME EXPERIENCE REPORTING, ANALYTICS AND MONITORING MAINTENANCE/SUPPORT/HELP DOCUMENTATION
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K2
Published By: Waterline Data & Research Partners     Published Date: Nov 07, 2016
Today, businesses pour Big Data into data lakes to help them answer the big questions: Which product to take to market? How to reduce fraud? How to retain more customers? People need to get these answers faster than ever before to reduce “time to answer” from months to minutes. The data is coming in fast and the answers must come just as fast. The answer is self-service data preparation and analytics tools, but with that comes an expectation that the right data is going to be there. Only by using a data catalog can you find the right data quickly to get the expected insight and business value. Download this white paper to learn more!
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Waterline Data & Research Partners
Published 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.
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Waterline Data & Research Partners
Published 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
Published By: Waterline Data & Research Partners     Published Date: Nov 07, 2016
For many years, traditional businesses have had a systematic set of processes and practices for deploying, operating and disposing of tangible assets and some forms of intangible asset. Through significant growth in our inquiry discussions with clients, and in observing increased attention from industry regulators, Gartner now sees the recognition that information is an asset becoming increasingly pervasive. At the same time, CDOs and other data and analytics leaders must take into account both internally generated datasets and exogenous sources, such as data from partners, open data and content from data brokers and analytics marketplaces, as they come to terms with the ever-increasing quantity and complexity of information assets. This task is clearly impossible if the organization lacks a clear view of what data is available, how to access it, its fitness for purpose in the contexts in which it is needed, and who is responsible for it.
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Waterline Data & Research Partners
Published By: FICO     Published Date: Sep 02, 2016
Leading businesses have aggressively adopted prescriptive analytics to assess the different outcomes of potential decisions and identify the best one(s) for handling a future scenario. As companies progress their use of advanced analytics, they derive exponentially more value from their data and decisions. These five case studies highlight how five banks are using FICO optimization to boost portfolio profits by 26% or more; increase approved transactions by $100+ million; and even generate 6:1 ROI in just six months.
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prescriptive analytics, fico, advanced analytics, fico optimization, portfolio profits, roi
    
FICO
Published By: IBM     Published Date: Mar 04, 2016
An analytics-based marketing platform can help marketers tackle the opportunities and challenges of a data and consumer-driven marketplace.
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ibm, analytics, marketing platform, data, business technology
    
IBM
Published By: Qlik     Published Date: Oct 13, 2015
Read more to learn how modern companies are adjusting to the BYO (Bring Your Own) data trend by combining external data with internal content.
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qlik, data discovery, business intelligence, analytics, user produced content, cloud, social, data visualization, external data, internal content, data management, business technology, data center
    
Qlik
Published By: Qlik     Published Date: Oct 13, 2015
Read more to learn how IT ensures that they are empowering their users with the tools they need to naturally explore data, ask the next question, and uncover the insight they need to make informed decisions.
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qlik, data discovery, business intelligence, analytics, user produced content, cloud, social, data visualization, big data, mobile, data management, business technology, data center
    
Qlik
Published By: MuleSoft     Published Date: Jan 25, 2016
IT used to be so simple. Companies owned their own technology equipment and purchased enterprise licenses for many of the applications anybody in the organization might care to use. But then the cloud emerged, and mobile, and social media, and IoT; the world of IT has never been the same. Today's businesses are software-driven enterprises with technology capability distributed throughout the company, utilizing countless third-party cloud-based applications. This new organization requires an cultural shift in the IT organization. Read this whitepaper to learn: -How businesses can reorganize themselves into lightweight, agile, modular businesses able to respond to innovations in SaaS, mobile, and analytics -How to build a technological architecture that can accommodate new technology yet still extract value from on-premises systems -The advantages of an API-led connected architecture vs. old SOA approaches
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technology, enterprise applications, best practices, business optimization, technology architecture
    
MuleSoft
Published By: MuleSoft     Published Date: Apr 13, 2016
Today’s successful organization needs to be able to turn on a dime, changing its product or service direction as fast as its customers’ needs require. The successful business of the 21st century crosses all boundaries; can quickly meet and adapt to competition, whether it comes from another part of the world, another industry or a startup; or it can use its core competencies to extend itself in new ways. Welcome to the Composable Enterprise. This kind of company—powered by cloud, open APIs, data analytics, mobile and social, and connected to the Internet of Things—is redefining markets and raising consumer expectations. The composable enterprise casts away the hierarchical and hardwired systems and processes that defined its predecessors, and represents a radical rethinking of how technology can serve innovation and how innovation can serve customers.
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enterprise network, digital management, enterprise application, application management, data, data analytics, cloud management, enterprise applications
    
MuleSoft
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