self service analytics

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Published By: GrapeCity, Inc.     Published Date: Feb 25, 2013
Getting ad hoc reporting tools into users’ hands can be a logistical challenge. This white paper offers five tips for easing that process and discusses how to effectively deploy ad hoc reporting for business users.
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ad hoc reporting, ad hoc report designer, self-service bi, business intelligence, reporting, activereports, web-based reporting, mobile bi, end user reporting, dashboards, data visualization, charts, reports, analytics, multi-tenant, self-service reporting, crystal
    
GrapeCity, Inc.
Published By: GrapeCity, Inc.     Published Date: Feb 25, 2013
Encouraging self-service BI adoption is both a technical and a human resource effort. This white paper offers a 10-point checklist for improving this process, and includes these questions and more in this easy-to-read white paper.
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ad hoc reporting, ad hoc report designer, self-service bi, business intelligence, reporting, activereports, web-based reporting, mobile bi, end user reporting, dashboards, data visualization, charts, reports, analytics, multi-tenant, self-service reporting, crystal
    
GrapeCity, Inc.
Published By: GrapeCity, Inc.     Published Date: Feb 25, 2013
When it comes to explaining information, this white paper outlines a few basic data visualization tips to improve the impact of visualizations, ensuring that the story in the data is expressed as effectively as possible.
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ad hoc reporting, ad hoc report designer, self-service bi, business intelligence, reporting, activereports, web-based reporting, mobile bi, end user reporting, dashboards, data visualization, charts, reports, analytics, multi-tenant, self-service reporting, crystal
    
GrapeCity, Inc.
Published By: IBM     Published Date: Apr 15, 2016
This report examines the current state of self-service analytics across all industries and company sizes. It also highlights the technology decisions and analytical performance of organizations that reported high levels of self-service in their analytical use base.
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ibm, analytics, self-service analytics, business analytics, analytical performance, business technology
    
IBM
Published By: SAS     Published Date: Mar 06, 2018
Business intelligence has come a long way ? from assistance with report generation to self-service platforms for discovery and analytical insight. As technological capabilities and business aptitude with information continue to advance, the next generation of BI will be even more capable and valuable to the enterprise. To discuss today’s success factors and tomorrow’s opportunities, IIA spoke with Rick Styll, Senior Manager, Visual Analytics Product Management at SAS, and Tapan Patel, Principal Product Marketing Manager at SAS.
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SAS
Published By: SAS     Published Date: Mar 06, 2018
Known for its industry-leading analytics, data management and business intelligence solutions, SAS is focused on helping organizations use data and analytics to make better decisions, faster. The combination of self-service BI and analytics positions you for improved productivity and smarter business decisions. So you can become more competitive as you use all your data to take better actions. Instead of depending on hunch-based choices, you can make decisions that are truly rooted in discovery and analytics. And you can do it through an interface that anyone can use. At last, your business users can get close enough to the data to manipulate it and draw their own reliable, fact-based conclusions. And they can do it in seconds or minutes, not hours or days. Equally important, IT remains in control of data access and security by providing trusted data sets and defined processes that promote the valuable, user-generated content for reuse and consistency. But, they are no longer forced
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SAS
Published By: SAS     Published Date: Jun 20, 2018
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SAS
Published By: SAS     Published Date: Mar 01, 2012
Michael Lock of the Aberdeen Group focuses on the effect of end user adoption, pervasiveness, and engagement of business intelligence on business performance. Learn the necessary steps to establishing self-service business analytics.
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it management
    
SAS
Published By: IBM     Published Date: Feb 11, 2015
IBM offers self-service BI capabilities that tell you what you need to know about the past, present and future—fast. Here are five reasons why you should choose IBM for self-service business intelligence.
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self-service business, bi capabilities, business intelligence, predictive analytics, dashboards, it management, enterprise applications, data management
    
IBM
Published By: IBM     Published Date: Nov 30, 2017
Analyst firm, Enterprise Strategy Group, examines how companies can leverage cloud-based data lakes and self-service analytics for timely business insights that weren’t possible until now. And learn how IBM Cloud Object Storage, as a persistent storage layer, powers analytics and business intelligence solutions on the IBM Cloud. Complete the form to download the analyst paper.
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analytics, technology, digital transformation, data lake, always-on data lake, ibm, cloud-based analytics
    
IBM
Published By: Esker     Published Date: Jun 29, 2017
Wasted time is wasted money — and accounts receivable (AR) departments can waste a lot of both with antiquated billing and collections methods. Download the new white paper‚ Winning the Billing & Collections Battle‚ to learn how your organization can overcome common obstacles in every phase of AR by: • Automating invoice delivery without format restrictions • Giving your customers self-service access to invoices • Modernizing post-sale collections interactions • Going beyond DSO with advanced KPIs and analytics With a complete AR management solution‚ time and money is on your side!
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accounts receivable management, invoice management, collections management, ar best practices, invoice portal, invoice delivery
    
Esker
Published By: Cisco     Published Date: Dec 21, 2016
Self-service analytics implies that users design and develop their own reports and do their own data  analysis with minimal support by IT. Most recently, due to the availability of tools, such as those from Qlik,  Spotfire, and Tableau, self-service analytics has become immensely popular. Besides powerful analytical  and visualization capabilities, they all support functionality for accessing and integrating data sources.  With respect to this aspect of data integration four phases can be identified in the relatively short history  of self-service analytics. This whitepaper describes these four phases in detail and shows how the tools  Cisco Data Preparation (CDP) and Cisco Information Server (CIS) for data virtualization can strengthen and  enrich the self-service data integration capabilities of tools for reporting and analytics.  
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Cisco
Published By: SAS     Published Date: Mar 31, 2016
Analytics is more important to success than ever before, and it’s a business practice that has momentum. Fifty-eight percent of the respondents in a recent survey published in the MIT Sloan Management Review stated that the use of analytics gave their companies a competitive advantage, up from 37 percent the prior year. Enterprise-scale companies report dramatic successes with analytics.
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analysis, development management, data management, business intelligence, best practices, analytical applications
    
SAS
Published By: SAS     Published Date: May 12, 2016
This paper examines the barriers to adoption from an IT and end-user perspective, and shows how self-service analytics in general – and SAS Visual Analytics in particular – can eliminate these barriers. Self-service analytics empowers users to truly exploit the wealth of data available to them, while ensuring that the IT organization maintains governance and control over that data.
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sas, business analytics, it organization, networking, it management, wireless, data management, business technology
    
SAS
Published By: SAS     Published Date: Apr 25, 2017
But if you can’t explain how you got the answer, or what it means, it’s no good. Most self-service BI solutions can only display what has already happened, through reports or dashboards. And most have a predefined path of analysis that gives users very little creative freedom to explore new lines of thought. 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: Gleanster Research     Published Date: Oct 11, 2012
Authored by two luminary Business Intelligence (BI) industry analysts. This 9 page report exposes best practices on Self-Service BI. The findings come from a Q3'12 survey on BI, which captured the experiences of 327 organizations.
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business intelligence, cio, self-service, business analytics, data warehouse, data, analysis, business technology
    
Gleanster Research
Published By: SAS     Published Date: Apr 25, 2017
This TDWI Checklist provides seven steps your organization can follow to apply a balanced governance strategy as you expand your use of self-service visual analytics and discovery.
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SAS
Published By: SAS     Published Date: Jun 08, 2018
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SAS
Published By: IBM     Published Date: Apr 15, 2016
This white paper takes a look at the current challenges that many organizations face in addressing this growing need. It examines the different types of users and stakeholders who need or want more self-service, and lays out four factors that are critical to realizing the full potential of self-service analytics.
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ibm, business analytics, self-service analytics, business intelligence, business technology
    
IBM
Published By: IBM     Published Date: Jul 09, 2018
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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IBM
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