data analytics

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Published By: Aberdeen     Published Date: Jun 17, 2011
Download this paper to learn the top strategies leading executives are using to take full advantage of the insight they receive from their business intelligence (BI) systems - and turn that insight into a competitive weapon.
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aberdeen, michael lock, data-driven decisions, business intelligence, public sector, analytics, federal, state, governmental, decisions, data management
    
Aberdeen
Published By: Avanade DACH     Published Date: May 08, 2018
In this six-step guide, we aim to help you solve your data challenges to prepare for advanced analytics, cognitive computing, machine learning and the resulting benefits of AI. We’ll show you how to get your data house in order, scale beyond the proof of concept stage, and develop an agile approach to data management. By continually repeating the steps in this guide, you’ll sharpen your data and shape it into a truly transformational business asset. You’ll be able to overcome some of the most common business problems, and work toward making positive changes: • Improve customer satisfaction • Reduce equipment outages • Increase marketing campaign ROI • Minimize fraud loss • Improve employee retention • Increase accuracy for financial forecasts
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Avanade  DACH
Published By: TIBCO Software APAC     Published Date: May 31, 2018
Predictive analytics, sometimes called advanced analytics, is a term used to describe a range of analytical and statistical techniques to predict future actions or behaviors. In business, predictive analytics are used to make proactive decisions and determine actions, by using statistical models to discover patterns in historical and transactional data to uncover likely risks and opportunities. Predictive analytics incorporates a range of activities which we will explore in this paper, including data access, exploratory data analysis and visualization, developing assumptions and data models, applying predictive models, then estimating and/or predicting future outcomes.
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TIBCO Software APAC
Published By: Groove     Published Date: May 16, 2018
HotSchedules is a technology company that streamlines several aspects of running a business in the service industry. The sales team at HotSchedules had been using Salesforce for several years, but they were spending a lot of time on data entry and other manual tasks. They needed a way to simplify recordkeeping so they could spend more time talking to prospects. The HotSchedules sales team is taking advantage of the full suite of features in Groove to enhance their sales operations at every turn — from Salesforce integration to multi-step campaigns to analytics. Let’s take a look.
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Groove
Published By: Genesys     Published Date: Feb 27, 2018
With all the options in the rapidly changing marketplace for cloud-based contact centers, it’s a challenge to find the right solution for your business. Easily compare the leading contact center solution vendors in the Ovum Decision Matrix: Selecting a Multichannel Cloud Contact Center Solution, 2017-18, based on their ability to offer full voice call routing and multichannel customer service in the cloud. Learn why Genesys has been positioned as a leader who has solutions for businesses of all sizes and in all industries around the world. Read the Ovum Decision Matrix to: • Compare cloud contact center solutions based on the strength of their technology platforms • Contrast vendors on their ability to handle multichannel customer interactions and connect with customer and company data through analytics • Understand each vendor’s market impact and why Genesys was chosen as a leader
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ovum, multichannel cloud contact center, contact center, decision matrix
    
Genesys
Published By: Datastax     Published Date: May 14, 2018
The data management practices of old will no longer work. If you’re still trying to use a centralized approach, you are probably finding it difficult to keep up with the real-time demands of the Right-Now Economy. This special Gartner report describes the main drivers for modernizing data management — operational efficiency and analytics — and explains why balancing connecting data with collecting data will be a fundamental requirement for modern data management moving forward.
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Datastax
Published By: IBM     Published Date: Apr 19, 2018
This paper presents a cost/benefit case for two industry-leading database platforms for analytics workloads.
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db2, data migration, ibm, oracle
    
IBM
Published By: IBM     Published Date: Apr 19, 2018
IBM DB2 with BLU Acceleration helps tackle the challenges presented by big data. It delivers analytics at the speed of thought, always-available transactions, future-proof versatility, disaster recovery and streamlined ease-of-use to unlock the value of data.
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db2, data migration, ibm, oracle
    
IBM
Published By: IBM     Published Date: Jun 04, 2018
"The appearance of your reports and dashboards – the actual visual appearance of your data analysis -- is important. An ugly or confusing report may be dismissed, even though it contains valuable insights about your data. Cognos Analytics has a long track record of high quality analytic insight, and now, we added a lot of new capabilities designed to help even novice users quickly and easily produce great-looking and consumable reports you can trust. Watch this webinar to learn: • How you can more effectively communicate with data. • What constitutes an intuitive and highly navigable report • How take advantage of some of the new capabilities in Cognos Analytics to create reports that are more compelling and understandable in less time. • Some of the new and exciting capabilities coming to Cognos Analytics in 2018 (hint: more intelligent capabilities with enhancements to Natural Language Processing, data discovery and Machine Learning)."
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data analysis, data analytics, dashboards
    
IBM
Published By: IBM     Published Date: Jun 04, 2018
"Today’s business users want to use all types of data to create compelling, shareable visualizations. But charts and graphs alone may not convey all the information, especially when they are part of a complex series. An audience can best understand analytic results when those results tell a story that connects all the pieces together. The right visuals can also reinforce the lessons buried in the data. Stories are powerful mechanism to communicate with people. Stories stick and make insights actionable, so it goes without saying that storytelling is a very powerful (soft) skill. In this webinar, you'll learn how to effectively apply storytelling best practices to get your message across. Especially in the world of BI, it is getting more and more important to effectively communicate business results. Watch this webinar to learn how to use IBM Cognos Analytics to: · Create the important elements of a good story · Put the data in context · Select the best type of ch
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data analytics, data storytelling, business intelligence
    
IBM
Published By: IBM     Published Date: Jun 04, 2018
"What would you do if you didn’t have to rely on disparate analytics solutions to meet the needs of business users while following the rules of IT? View this 'Charting Your Analytical Future' webinar to learn about a world of innovation and independence for users that does not limit the confidence and controls of IT. With the cognitive-guided self-service features available in IBM business analytics solutions, more users than ever before can get the answers they need. Next-generation business analytics capabilities make it possible to access relevant data, prepare it for analysis and understand performance. But it doesn’t stop there. Users can package the results in a visually-appealing format and share them throughout the organization. Don’t miss this opportunity to hear how you can: * Benefit from advanced analytics without the complexity * Operationalize insights and dashboards from a collection of trusted data sources * Tell your story with rich visualizations and geospati
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business analytics, analytics solutions
    
IBM
Published By: Sage     Published Date: May 18, 2018
In some kinds of more traditional businesses the finance department tends to swallow as much data as is thrown at it but only outputs small, measured and curated amounts of insights periodically: “Here’s revenue vs target in the last quarter”. These are undoubtedly essential for proper business management, But periodic reports also mean it can be too late for the business to respond. It’s like driving by looking only in the rear-view mirror. Looking at what’s behind isn’t going to let you spot a sudden bend in the road! Essentially, the highly competitive and evolved business environment of today requires businesses to have proactive, indicative business metrics. Combined with more traditional metrics, these mean businesses have invaluable and complete insight in order to evaluate performance. Proactive, indicative business metrics are found across most successful businesses–and especially amongst C-suite employees. These people know that the benefits are proven. Analytics-driven execu
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Sage
Published By: SAS     Published Date: May 24, 2018
Ongoing digitization has created vast streams of data, forcing businesses to become more data-driven than ever before. While the benefits of being a data-driven organization are clear (improved performance, more profitability, stronger innovations), there are still some technical and business challenges to overcome. Thanks to technological advancements in data analytics, companies in all types of industries can become data-driven. Read this e-book to discover what it means to be a data-driven organization and to learn the basic do’s and don’ts of how to get there.
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SAS
Published By: SAS     Published Date: May 24, 2018
For 20 years running, SAS has landed a coveted spot on Fortune’s 100 Best Companies to Work For list. Our HR department plays a critical role in keeping current employees engaged and productive as well as anticipating and preparing for future workforce needs. How? One reason is our use of data and analytics to drive HR decision making. It would be easy to assume other companies see the value of analytics; however, a Deloitte survey found 75 percent of HR leaders rate analytics as a priority, yet only 8 percent say their HR organization has a strong analytics capability. I had the pleasure of meeting David Harcourt, Associate Manager of Employee Insights at Yum! Brands when he spoke at the Analytics Experience 2016 conference in Las Vegas. His session, “HR Analytics from Scratch: 8 Lessons Learned in the First Year,” provided valuable insight into what it takes to build HR analytic competency from scratch. His mission is to share with others what he wishes he’d known when he started bui
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SAS
Published By: Optymyze     Published Date: Feb 05, 2018
Not too long ago, successful selling was all about power suits, firm handshakes, a persuasive attitude and gut instinct. Since then, the underlying map to sales success has changed dramatically. Today, the rock stars of any sales team are the reps who rely on data instead of intuition, and tools instead of tales. Read this article to learn how data and analytics enable sales reps and managers to improve sales productivity and more: • Gain a better understanding of your leads and prospects and personalize your approach. • Maximize the performance of new members of the sales team. • Increase compensation effectiveness. • Optimize territories.
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sales performance, sales performance management, sales data and analytics, sale operations, sales team performance, sales force
    
Optymyze
Published By: Workday     Published Date: Feb 27, 2018
HCM suites and their individual applications also provide reporting and data as needed by local and international regulations, and often include analytics and dashboard capabilities. Transactional employee and manager self-service have become embedded roles within these solutions, and the ability to support mobile access has also become a fundamental part of these offerings. With increasing frequency, we see the inclusion of tools and applications embedded within HCM technologies to infuse traditional processes with collaboration, and capitalize on approaches that leverage social channels in the workplace to enhance overall user engagement and productivity.
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cloud, hcm, suites, midmarket, enterprises, analytics, employee
    
Workday
Published By: Microsoft Azure     Published Date: Apr 11, 2018
Developing for and in the cloud has never been more dependent on data. Flexibility, performance, security—your applications need a database architecture that matches the innovation of your ideas. Industry analyst Ovum explored how Azure Cosmos DB is positioned to be the flagship database of internet-based products and services, and concluded that Azure Cosmos DB “is the first to open up [cloud] architecture to data that is not restricted by any specific schema, and it is among the most flexible when it comes to specifying consistency.” From security and fraud detection to consumer and industrial IoT, to personalized e-commerce and social and gaming networks, to smart utilities and advanced analytics, Azure Cosmos DB is how Microsoft is structuring the database for the age of cloud. Read the full report to learn how a globally distributed, multi-model data service can support your business objectives. Fill out the short form above to download the free research paper.
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Microsoft Azure
Published By: SAS     Published Date: Apr 04, 2018
Location analytics is the process of integrating geographical data into business intelligence (BI) and analytics-led decision making. Location analytics creates meaningful insight from relationships found in geospatial data to solve a broad variety of business and social problems. Location data is found everywhere – with an item or a device, in a conversation or behavior, in machines or sensors, tied to a customer or competitor, attached to a database record or recorded from vehicles or other moving objects. Organizations want to take advantage of location data to improve decisions, create better customer engagement and experiences, reduce risks and automate business processes.
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SAS
Published By: SAS     Published Date: Jun 06, 2018
A multitude of “things” generate floods of big data – cars, wearables, machines and appliances. Wouldn’t you like to sift through that noise and become an organization that relies on data to make fact-based decisions? Learn about the three foundations of becoming data-driven – data management, analytics and visualization – and how they can increase profitability, boost performance, raise market share and improve operations. Read about hurdles to becoming a data-driven organization and learn best practices from others. Then get a glimpse of what the future holds with the Internet of Things (IoT), edge analytics, artificial intelligence (AI) and other technology innovations.
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SAS
Published By: SAS     Published Date: Jun 08, 2018
Download Webinar
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SAS
Published By: Mindfire     Published Date: May 07, 2010
In this report, results from well over 650 real-life cross-media marketing campaigns across 27 vertical markets are analyzed and compared to industry benchmarks for response rates of static direct mail campaigns, to provide a solid base of actual performance data and information.
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mindfire, response rates, personalized cross-media, marketing campaign, personalization, personalized urls, purls, performance data, conversion, marketing roi, direct mail campaign, multi channel marketing, integrated marketing campaign, lead generation, campaign management, tracking and measurement, reports and analytics, marketing dashboard
    
Mindfire
Published By: Cisco EMEA Tier 3 ABM     Published Date: Nov 13, 2017
Big data and analytics is a rapidly expanding field of information technology. Big data incorporates technologies and practices designed to support the collection, storage, and management of a wide variety of data types that are produced at ever increasing rates. Analytics combine statistics, machine learning, and data preprocessing in order to extract valuable information and insights from big data.
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big data, analytics, virtualization, cloudera, ibm, sas, sap, splunk
    
Cisco EMEA Tier 3 ABM
Published By: Cisco EMEA Tier 3 ABM     Published Date: Mar 05, 2018
The competitive advantages and value of BDA are now widely acknowledged and have led to the shifting of focus at many firms from “if and when” to “where and how.” With BDA applications requiring more from IT infrastructures and lines of business demanding higher-quality insights in less time, choosing the right infrastructure platform for Big Data applications represents a core component of maximizing value. This IDC study considered the experiences of firms using Cisco UCS as an infrastructure platform for their BDA applications. The study found that Cisco UCS contributed to the strong value the firms are achieving with their business operations through scalability, performance, time to market, and cost effectiveness. As a result, these firms directly attributed business benefits to the manner in which Cisco UCS is deployed in the infrastructure.
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big data, analytics, cisco, value, business, enterprise
    
Cisco EMEA Tier 3 ABM
Published By: Hewlett Packard Enterprise     Published Date: May 11, 2018
Digital transformation (DX) is a must for midsize firms (those with 100 to 999 employees) to thrive in the digital economy. DX enables firms to increase competitive advantage through initiatives such as automating business processes, creating greater operational efficiencies, building deeper customer relationships, and creating new revenue streams based on technology-enabled products and services. DX is a journey, and it starts with firms embracing an IT-centric vision that guides a data-driven, analytics-first strategy. The outcome of DX initiatives depends on the ability of a firm to efficiently leverage people (talent), process, platforms, and governance to meet the firm’s business objectives.
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: May 11, 2018
If your business is like most, you are grappling with data storage. In an annual Frost & Sullivan survey of IT decision-makers, storage growth has been listed among top data center challenges for the past five years.2 With businesses collecting, replicating, and storing exponentially more data than ever before, simply acquiring sufficient storage capacity is a problem. Even more challenging is that businesses expect more from their stored data. Data is now recognized as a precious corporate asset and competitive differentiator: spawning new business models, new revenue streams, greater intelligence, streamlined operations, and lower costs. Booming market trends such as Internet of Things and Big Data analytics are generating new opportunities faster than IT organizations can prepare for them.
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Hewlett Packard Enterprise
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