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Published By: Group M_IBM Q119     Published Date: Mar 04, 2019
There can be no doubt that the architecture for analytics has evolved over its 25-30 year history. Many recent innovations have had significant impacts on this architecture since the simple concept of a single repository of data called a data warehouse. First, the data warehouse appliance (DWA), along with the advent of the NoSQL revolution, selfservice analytics, and other trends, has had a dramatic impact on the traditional architecture. Second, the emergence of data science, realtime operational analytics, and self-service demands has certainly had a substantial effect on the analytical architecture.
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Group M_IBM Q119
Published By: Group M_IBM Q2'19     Published Date: Apr 02, 2019
There can be no doubt that the architecture for analytics has evolved over its 25-30 year history. Many recent innovations have had significant impacts on this architecture since the simple concept of a single repository of data called a data warehouse. First, the data warehouse appliance (DWA), along with the advent of the NoSQL revolution, selfservice analytics, and other trends, has had a dramatic impact on the traditional architecture. Second, the emergence of data science, realtime operational analytics, and self-service demands has certainly had a substantial effect on the analytical architecture.
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Group M_IBM Q2'19
Published By: SAS     Published Date: Nov 10, 2014
Learn how to build a business intelligence product that provides self-service analytics and see why this product has been the favorite for businesses and IT users alike.
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sas, self service, service analytics, it users, self-service bi, forecasting, collaboration, deployment
    
SAS
Published By: SAS     Published Date: Apr 21, 2015
To maintain competitive advantage, your BI solution should allow business users to quickly and easily investigate and interrogate the data to find out why something happened – to uncover the root cause behind the “what.”
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SAS
Published By: SAS     Published Date: May 24, 2018
Constant market shifts and changing customer preferences add to the challenge of outperforming your competitors and surpassing stakeholder expectations. But what can be done to steer your organization down the path to greater success? By now, we all know it’s not just historical reporting about the past that will provide the answers needed to drive a business forward. Everyone – from executives and analysts to frontline staff – must have access to insights about the future that will enable them to make the best decisions and take the actions needed to keep their organizations agile. This means the ability to peer into data, explore it, understand it, analyze it and produce insights that provide those aha moments and take actions on it. Such things cannot be done with multiple tools that are rigid, limiting and difficult to use. A new breed of business intelligence is required. Gone are the days when reports looked at singular issues, took possibly days or weeks to create, and required
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SAS
Published By: MicroStrategy     Published Date: Jun 06, 2019
A&BI platforms are transitioning from delivering simple, manual self-service to supporting more advanced, automated analytic use cases via growing, augmented, ML-driven capabilities. Data and analytics leaders should enable broader use cases to increase their investments’ business impact.
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MicroStrategy
Published By: MicroStrategy     Published Date: Jun 06, 2019
A&BI platforms are transitioning from delivering simple, manual self-service to supporting more advanced, automated analytic use cases via growing, augmented, ML-driven capabilities. Data and analytics leaders should enable broader use cases to increase their investments’ business impact.
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MicroStrategy
Published By: MicroStrategy     Published Date: Aug 28, 2019
Over the last decade, the enterprise analytics landscape has dramatically transformed. Vendors have come and gone, and platforms have continually expanded their offerings to include new functionality and keep pace with the demands of the businesses they serve. Originally envisioned as an IT-centric tool for enterprise reporting, analytics today has evolved into a business solution—empowering a range of users across every line of business, including front-line employees, field personnel, and executives. The rise of self-service analytics over the past decade has played a key role in promoting a data-driven mindset within every business function. However, this practice is limited to a skilled few. The vast majority of business professionals lack the time, analytical skills, or inclination to conduct their own analyses, and fail to effectively use analytics on a day-to-day basis. The result? Despite decades of investments, BI adoption at most organizations remains at 30%. The failure of e
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MicroStrategy
Published By: Alteryx, Inc.     Published Date: Sep 06, 2017
Read this whitepaper and see why the shift toward self-service data analytics is empowering leading analysts and analytic teams to improve processes, eliminate repetitive tasks, build better relationships with IT, and deliver deeper insights faster.
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Alteryx, Inc.
Published By: Alteryx, Inc.     Published Date: Sep 06, 2017
According to Forrester, the level of analytic satisfaction within organizations is on the decline.* The traditional multiple-step, multi-tool legacy approach is a slow, time-consuming, and in most cases, a costly process that prevents organizations from making faster decisions with confidence. Data analysts today need an agile solution that empowers them to take charge of the entire analytics process. Download The Definitive Guide to Self-Service Data Analytics to: Understand why traditional analytic tools designed for data scientists are not ideal for data analysts like you Learn how self-service data analytics delivers the ease of use, speed, flexibility, and scalability you require See how Alteryx stacks up against traditional data prep and analytics tools Find out how self-service data analytics bridges the gap across skills, speed, and depth of analysis to empower you to achieve ever-greater insights without coding or depending on other departments.
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Alteryx, Inc.
Published By: Alteryx, Inc.     Published Date: Sep 07, 2017
Download now and learn why your peers at Experian, EMC Corporation, Cardinal Health, and many other organizations are using Alteryx Server to deploy and share analytics at scale.
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Alteryx, Inc.
Published By: Alteryx, Inc.     Published Date: Sep 07, 2017
Learn how organizations like Southwest Airlines are using self-service data analytics to make faster, more accurate decisions.
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Alteryx, Inc.
Published By: Alteryx, Inc.     Published Date: Sep 07, 2017
Download this paper now and start to deliver the self-service data analytics that your organization requires.
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Alteryx, Inc.
Published By: Alteryx, Inc.     Published Date: Sep 07, 2017
Download this paper now and start to deliver the self-service data analytics that your organisation requires.
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Alteryx, Inc.
Published By: LogMeIn     Published Date: Feb 27, 2018
24/7 Self-Service Support Center: Bold360 ai’s 24/7 context driven support center was implemented, allowing users to instantly discover relevant content from the smart knowledge database. Dynamic FAQs displayed trending topics in real-time to speed up customer resolution and discoverability. Real-Time Customer Analytics highlight unanswered questions, giving Premium Credit instant visibility of missing topics, questions driving ticket volume, and more.
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customer, support, faq, credit
    
LogMeIn
Published By: TIBCO Software     Published Date: Sep 21, 2018
BUSINESS CHALLENGE “Vestas is a global market leader in manufacturing and servicing wind turbines,” explains Sven Jesper Knudsen, Ph.D., senior data scientist. “Turbines provide a lot of data, and we analyze that data, adapt to changing needs, and work to create a best-in-class wind energy solution that provides the lowest cost of energy. “To stay ahead, we have created huge stacks of technologies—massive amounts of data storage and technologies to transform data with analytics. That comes at a cost. It requires maintenance and highly skilled personnel, and we simply couldn’t keep up. The market had matured, and to stay ahead we needed a new platform. “If we couldn’t deliver on time, we would let users and the whole business down, and start to lose a lot of money on service. For example, if we couldn’t deliver a risk report on time, decisions would be made without actually understanding the risk landscape.
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data solution, technology solution, data science, streaming data, fast data platform, self-service analytics
    
TIBCO Software
Published By: Pentaho     Published Date: Apr 28, 2016
Today, the need for self-service data discovery is making data governance a charged topic. As business-driven data discovery emerges as a fundamental need, the ability to ensure that data and analytics are trustworthy and protected becomes both more difficult and more imperative. This research explains how to manage the barriers and risks of self-service and enable agile data discovery across the organization by extending existing data governance framework concepts to the data-driven and discovery-oriented business. You’ll learn: - The implications of the "freedom vs. control" paradox - How to design for iterative, "frictionless" discovery - Critical checkpoints in data discovery process where governance should be in place
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pentaho, governed data, data and analytics, governance framework, freedom vs control, frictionless discovery, networking, it management
    
Pentaho
Published By: MicroStrategy     Published Date: Mar 15, 2018
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MicroStrategy
Published By: Birst     Published Date: Jul 16, 2013
This whitepaper first looks at the fundamental requirements that a BI solution should deliver to your company. Next, this whitepaper covers the 11 Key Questions that you should be asking of a future BI technology partner. When the BI provider can answer Yes to all of these questions, you have BI that is capable of fulfilling your analytical and reporting needs .
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business intelligence, agile bi, self service bi, bi in the cloud, unified bi, mobile bi, embedded analytics, business analytics
    
Birst
Published By: Birst     Published Date: Jul 16, 2013
Birst’s Salesforce Reporting and Analytics helps sales managers analyze all of the critical salesforce.com data to uncover insightful pipeline information. Combining sales data with marketing, financial and operational data to obtain a comprehensive view of the pipeline is where Birst excels.
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business intelligence, agile bi, self service bi, bi in the cloud, unified bi, mobile bi, embedded analytics, business analytics
    
Birst
Published By: Birst     Published Date: Jul 16, 2013
Discover seven indications that you need advanced analytics for your CRM application and why they matter. Learn about common CRM data analysis pain points and how advanced CRM analytics can solve them.
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business intelligence, agile bi, self service bi, bi in the cloud, unified bi, mobile bi, embedded analytics, business analytics
    
Birst
Published By: Birst     Published Date: Jul 16, 2013
Covering 23 vendors and 5 market segments, the 2013 Wisdom of Crowds Business Intelligence Market Study helps readers understand the current market landscape including the perceptions and plans of organizations adopting BI solutions, the latest user trends and technology.
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business intelligence, agile bi, self service bi, bi in the cloud, unified bi, mobile bi, embedded analytics, business analytics
    
Birst
Published By: Birst     Published Date: Jul 16, 2013
This BI guide has 10 real-life business scenarios that will elicit your business intelligence requirements in plain English. Key stakeholders and executive sponsors will get an easy-to-digest view of business intelligence requirements without getting into the details.
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business intelligence, agile bi, self service bi, bi in the cloud, unified bi, mobile bi, embedded analytics, business analytics
    
Birst
Published By: Avi Networks     Published Date: Aug 17, 2018
This whitepaper details how ADCs and virtual appliances are inflexible, expensive, and lacking in visibility in contrast to the central management, autoscaling features, intelligent analytics, and flexibility offered by the Avi Vantage Platform. This document also outlines 7 key considerations that you should evaluate before you refresh your current load balancers: 1. Automation and Self-Service 2. Elasticity 3. Applica tion Analytics and Troubleshooting 4. Performance 5. Hybrid Cloud 6. Ecosystem Integrations 7. Total Cost of Ownership
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Avi Networks
Published By: Mindtree     Published Date: Nov 01, 2016
Learn how to cut costs so you can self-fund growth initiatives. An expert Managed Services guide can help you map a smart path to streamlining processes, outsourcing services and rearchitecting systems. With a customized plan in place, your Managed Services provider can begin to optimize IT and increase efficiencies through continuous improvements. Discover how Managed Services providers: Guarantee savings every year so you can invest in growth opportunities such as digital and analytics Optimize the run-the-business side of IT to accelerate innovation Deliver continuous improvements to productivity, quality and time to market
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mindtree, growth initiatives, managed services guide, managed services, analytics, knowledge management, enterprise applications, business technology
    
Mindtree
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