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By: HP     Published Date: Oct 29, 2014
Tired of dealing with ID10T errors? Wouldn't life be easier if you reduced the number of ID10T errors and focused more on the critical issues? HP Service Anywhere seamlessly connects service quality, customer satisfaction and staff efficiency through its easy-to-use social collaborative capabilities. The only service desk with embedded Big Data technology, HP Service Anywhere delivers connected intelligence to IT and business users to support proactive problem solving and actionable analytics.
Tags : itsm, itil, saas help desk, itil service desk, itil service management, itil change management, itil problem management, hp service anywhere
     HP
By: FICO     Published Date: Mar 02, 2018
Improved availability of data and new technologies that use it are disrupting our lives, influencing the way we interact with other, and the way we gather and consume information to make decisions. Businesses too are living in a time of continuous technological upheaval. The application of key technologies such as Machine Learning and Artificial Intelligence and Optimization, are fundamentally changing the manner in which businesses make decisions. This paper is your first step in understanding: • how you can leverage and operationalize analytics in your everyday business processes • improve customer relationships • grow revenue in an increasingly competitive world
Tags : fico, customers, analytic, management, applications, solutions
     FICO
By: MemSQL     Published Date: Nov 15, 2017
Data Warehousing in the Age of Artificial Intelligence This Ebook will guide you through building and deploying scalable, production-ready artificial-intelligence applications. Inside, you will find several artificial intelligence use cases, code samples to help you get started, and an outline of high throughput data processing architectures necessary for developing AI applications.
Tags : data warehousing, artificial intelligence, data piplelines
     MemSQL
By: Infosys     Published Date: May 21, 2018
In HR, working purely on instinct is dangerous. HR Professionals are highly skilled, and their experienced opinion is extremely valuable when it comes to selecting candidates, assessing performance, and all the other important aspects of this function. But can you rely on their instinct alone? This was the big question that our client, a large CPG company was facing. When we realized this was the problem, the solution was obvious. Not necessarily easy, but obvious. There was plenty of data, but it wasn't being used to improve HR decision making. We designed an analytics solution that would improve HR Decision making. We designed an analytics solution that would improve the efficiency of data gathering, to make the HR function more effective. We then proposed an additional layer, which would use artificial intelligence (AI) to improve HR Decision-making further.
Tags : company, employee
     Infosys
By: Infosys     Published Date: Jun 14, 2019
Introduction Cloud along with other technologies such as Big Data, Internet of Things, Artificial Intelligence and Blockchain have made it possible for enterprises to have bolder visions for the future. The new technologies motivate them to accelerate tier digital transformation journey and deliver more rewarding experiences to clients.
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     Infosys
By: Cloudian     Published Date: Apr 26, 2018
Data is the life-blood of artificial intelligence and machine learning (AI and ML). Vast quantities of training data enhance accuracy in the search for potentially predictive relationships.
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     Cloudian
By: FICO EMEA     Published Date: Jan 25, 2019
Communications service providers (CSPs) have long recognized the potential of data analytics. Yet their early efforts to pull actionable intelligence from the oceans of data they have access to were largely unsuccessful. Many tried a 'big bang' approach to building a central repository without knowing what they wanted to do with the data in it. The arrival of artificial intelligence (AI) – its machine learning subset in particular – has changed their thinking and approach. For this Quick Insights report, we surveyed 64 professionals from CSPs around the world who are applying, leveraging and/ or planning to deploy advanced analytics in some capacity at various points across the customer lifecycle.
Tags : analytics, artificial intelligence, customer lifecycle, insights, telecom credit lifecycle, customer acquisition, optimisation
     FICO EMEA
By: Infosys BPM Ltd     Published Date: Feb 12, 2019
An effective rolling forecast is important to estimate long term financial plans. Every organization undertakes this process as a finance activity. However, when the forecasted data is examined on its effectiveness for decision making, more often than not the results are disappointing, and the rolling forecast process needs to be redefined. This paper talks about effective rolling forecasts that utilize resources, technologies, processes, and business intelligence to deliver actionable insights. A best-in-class matured RF process will enable CFOs to deliver great results through increased revenue and cost reductions, and create new benchmarks for the organization.
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     Infosys BPM Ltd
By: Logrhythm     Published Date: Feb 24, 2016
The time has come for CEOs and Boards to take personal responsibility for improving their companies’ cyber security. Global payment systems, private customer data, critical control systems, and core intellectual property are all at risk today. As cyber criminals step up their game, government regulators get more involved, litigators and courts wade in deeper, and the public learns more about cyber risks, corporate leaders will have to step up accordingly. This whitepaper focuses on the LogRhythm Security Intelligence Maturity Model, and how it is a valuable guide for building the necessary successive layers of threat detection and response capabilities. Download this paper now to find out more.
Tags : cyber attack, risk, cyber security, cyber criminals, cyber risks, security intelligence, threat detection
     Logrhythm
By: Cisco     Published Date: Jul 11, 2016
IoT impacts every business. Mobile and the Internet of Things will change the types of devices that connect into a company’s systems. These newly connected devices will produce new types of data. The Internet of Things will help a business gain efficiencies, harness intelligence from a wide range of equipment, improve operations and increase customer satisfaction. IoT will also have a profound impact on people’s lives. It will improve public safety, transportation and healthcare with better information and faster communications of this information. While there are many ways that the Internet of Things could impact society and business, there are at least three major benefits of IOT that will impact every business, which include: communication, control and cost savings. Read to learn more!
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     Cisco
By: McAfee EMEA     Published Date: Mar 14, 2018
Machine learning is all around us, from our smart home applications to driverless automobiles. The efficiency of automated decision-making is changing the game in cybersecurity, expanding the capabilities of humans by sifting through enormous quantities of data and presenting it as actionable intelligence. Machine learning makes security teams better, and vice versa. Human-machine teams deliver the best of both worlds, allowing endpoint security to continually evolve to stop new attack tactics. Your team deserves the best that cybersecurity has to offer, and today the best endpoint security products leverage machine learning.
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     McAfee EMEA
By: Tidal Software     Published Date: Sep 03, 2008
Businesses can gain greater value from their BI investment by improving the way in which data flows to the BI system are managed. Many problems result when the ETL process is handled by a patchwork of scripting, custom coding, and various built-in schedulers that are part of existing ETL solutions, because these systems do not provide end-to-end execution, monitoring, and control of the ETL process.
Tags : business intelligence, data warehousing, data management, data integration, etl, extract–transform-load, bi operations, bi management
     Tidal Software
By: SRC,LLC     Published Date: Jun 01, 2009
To mine raw data and extract crucial insights, business decision‐makers need fast and comprehensive access to all the information stored across their enterprise, regardless of its format or location. Furthermore, that data must be organized, analyzed and visualized in ways that permit easy interpretation of market opportunities growth, shifts and trends and the business‐process changes required to address them. Gaining a true perspective on an organization’s customer base, market area or potential expansion can be a challenging task, because companies use so many relational databases, data warehouse technologies, mapping systems and ad hoc data repositories to gather and house information for a wide variety of specialized purposes.
Tags : src, enterprise, enterprise applications, convergence, compared, counted, combined, reorganized
     SRC,LLC
By: SRC,LLC     Published Date: Jun 01, 2009
Companies spend millions of dollars every year on building data warehouses, buying business intelligence (BI) software tools and managing their analytic processes in the hope of gaining consumer insight and winning market share. Yet, many companies fail to realize the full benefits of their technology investments because they are hamstrung by the layers of expertise and the complexity of technology tools needed to integrate various data warehouses and associated tools within their existing analytic environments. Since analysis is only as good as the accessibility, timeliness and accuracy of the information being analyzed, the interoperability of any data warehouse with any analytic environment is essential to achieving insightful, actionable analysis and making better decisions.
Tags : src, enterprise, streamline, analytics, economy, analytic imperative, business intelligence, seamless
     SRC,LLC
By: SRC,LLC     Published Date: Jun 01, 2009
Today, organizations are collecting data at every level of their business and in volumes that in the past were unimaginable. Data sets are stored in different database systems or in files with distinctive formats, all reflecting business process, application, program software, or information type dependencies. Adding to this complexity is the distribution of these data sets across the enterprise in silos requiring a varied set of tools and/or specialized business rules for data transformation, classification, matching, and integration. Because of the massive amounts of data stored in a variety of representation formats, decision makers strain to derive insights and create business solutions that adequately span and integrate information from these disparate technology islands. Learn more today!
Tags : src, data transformation, classification, business value, geographic business intelligence, geo-bi, etl, extract
     SRC,LLC
By: iKnowtion     Published Date: Nov 17, 2011
Find out how a customer development plan for digital camera buyers and members of an online communications program identified a core group of loyal customers who were responsible for the majority of sales.
Tags : customer intelligence, customer loyalty, customer profiling, lifecycle analysis, segmentation, crm, retail strategies, data analysis
     iKnowtion
By: EMC Corporation     Published Date: Mar 20, 2014
New security threats demand a new approach to security management. Security teams need a security analytics architecture that can handle a much greater volume and wider scope of data than at present.
Tags : emc, big data, incident response, malware detection, security journey, reduce risk, improve security, budget constraints
     EMC Corporation
By: EMC Corporation     Published Date: Mar 20, 2014
Big data security analytics is no longer a visionary idea -- leading enterprises recognize that their immediate security requirements demand this type of solution.
Tags : emc, big data, incident response, malware detection, security journey, reduce risk, improve security, budget constraints
     EMC Corporation
By: EMC Corporation     Published Date: Mar 20, 2014
Starting with a foundational set of data management and analytic capabilities enables organizations to effectively build and scale security management as the enterprise evolves to meet Big Data challenges.
Tags : emc, big data, incident response, malware detection, security journey, reduce risk, improve security, budget constraints
     EMC Corporation
By: Oracle Corporation     Published Date: May 11, 2012
Most companies lack cross-value chain insight because the required data is stored in disconnected systems, such as supply chain, HR, procurement, financial, and CRM. Oracle Business Intelligence Applications provide the answer to this challenge.
Tags : oracle, busines intelligence, business intelligence applications, bi applications, bi apps, 11g, cross-value, decision
     Oracle Corporation
By: Oracle Corporation     Published Date: May 11, 2012
This whitepaper provides an overview of Oracle's capabilities for data warehousing and discusses the key features and technologies by which Oracle-based business intelligence and data warehouse systems integrate information and scale to analyze data.
Tags : oracle, data warehousing, database, exadata, database machine, infrastructure, operation, operation costs
     Oracle Corporation
By: Optis     Published Date: Jun 08, 2015
This e-book offers four areas to focus on to better leverage your constant flood of disparate people data and more efficiently, securely, and effectively control how your organization acquires, integrates, manages, retains, and disposes of that valuable data.
Tags : people data, business intelligence, data conversion, reporting and analytics, analytics
     Optis
By: MuleSoft     Published Date: Oct 13, 2015
The retail world is being transformed by e-commerce, mobile devices, and more competition than ever before. Retailers are using numerous customer-facing and back-office mobile apps, SaaS applications, and legacy systems — all of which are generating more data than ever before about their customers, providing valuable intelligence to create greater customer lifetime value, brand loyalty, and cross-selling across brands and products. Learn how harnessing that data can help retailers cut costs, retain their customers and generate more revenue.
Tags : retail success, cut costs, customer retention, revenue growth
     MuleSoft
By: IBM     Published Date: Oct 13, 2017
Analytics is game-changing and can produce valuable insights from the ever-growing volume, velocity and variety of data. Business Intelligence (BI) provides the foundation for many types of Analytics. It enables companies to deliver exceptional customer experience, enhance marketing effectiveness, increase operational efficiencies, reduce financial risks, improve product quality and reliability, and so on. But businesses are also challenged to generate timecritical actionable insights and make a compelling financial business case for BI investments.
Tags : ibm, cognos analytics, business intelligence, customer experience, marketing
     IBM
By: Microsoft     Published Date: Jul 20, 2018
When it comes to performance, Azure SQL Database is built for you, the developer. Azure SQL Database is designed to make your work easier and let you focus on other priorities. It scales on the fly, without downtime, with capabilities that make it great for building multitenant software as a service (SaaS) apps. Plus, it learns and adapts to your database workload, whatever that may be, using built-in intelligence to continually adjust and improve over time. That said, there’s more to a successful app than impressive performance. That’s why we built Azure SQL Database to be just as intelligent in other areas, such as availability and security, so that you won’t need to worry about those essentials either. Finally, we built Azure SQL Database to let you work the way you want, using the tools and platforms you prefer. It’s why we call Azure SQL Database the intelligent database for developers. Read on to learn more, and we’re sure you’ll agree.
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     Microsoft
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