business analytics

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Innovation Map: Data Center Modernization

Published By: Hitachi Vantara     Published Date: Aug 16, 2018
In this infographic, we are going to show you the possibilities with modernized, optimized data infrastructure. In doing so, we aim to bring you ideas about how you can bring your own data-driven business vision to life, focusing on the outcomes that matter most to you. In essence, we will be discussing five main industries and the possibilities for modernized data infrastructure. We will be displaying how Banking and Financial Services, Telecommunications, Manufacturing, Healthcare and Retail can use data, analytics and automation to optimize their business, therefore bringing about a competitive edge which previously appeared unimaginable. Using data correctly, most importantly building proper data infrastructures, can be the driving force behind obtaining a competitive edge. Data is your story. And it’s our story, too.
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Hitachi Vantara

10 Business Dynamics that Makes Cloud Communications a No-Brainer

Published By: Corvisa LLC     Published Date: Feb 13, 2015
Are any of these dynamics driving you to the cloud?
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cloud monitoring, cloud metrics, business analytics, performance monitoring, data, cloud data, metrics, cloud communications
    
Corvisa LLC

10 Critical Sales Management Reports that Salesforce.com Can't Generate and 10 Reasons to Care

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

10 ENTERPRISE ANALYTICS TRENDS TO WATCH IN 2019

Published By: MicroStrategy     Published Date: Aug 21, 2019
To survive and thrive in an era of accelerating digital disruption, organizations require accessible data, actionable insights, continuous innovation, and disruptive business models. It’s no longer enough to prioritize and implement analytics – leaders are being challenged to stop doing analytics just for analytics’ sake and focus on defined business outcomes. In addition, these leaders are being challenged to bring predictive capabilities and even prescriptive recommended actions into production at scale. As AI and accelerated growth and transformation become top of mind, many enterprises are realizing that their current segmented analytics approach isn’t built to last, and that real transformation will require proper endto- end data management, data security, and a data processing platform company-wide. The year 2019 will be a turning point for many organizations that realize being data-driven doesn’t guarantee future success.
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MicroStrategy

10 Really Good Reasons to use Predictive Analytics

Published By: SPSS     Published Date: Mar 31, 2009
This whitepaper details how predictive analysis can help your business.  Predictive analytics help you make better, faster decisions, giving your organization a significant competitive advantage in the technology sector.
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spss, predictive analysis, roi, data, data driven decision making, mitigate risk, fraud, real time intelligence
    
SPSS

10 Really Good Reasons to use Predictive Analytics

Published By: SPSS, Inc.     Published Date: Mar 31, 2009
This whitepaper details how predictive analysis can help your business.  Predictive analytics help you make better, faster decisions, giving your organization a significant competitive advantage in the marketing sector.
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spss, predictive analysis, roi, data, data driven decision making, mitigate risk, fraud, real time intelligence
    
SPSS, Inc.

10-Point Checklist for Ensuring Self-Service BI Adoption

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
    
GrapeCity, Inc.

11 Key Questions to Ask of a BI Solution

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

11 Obstacles to B2B Business Growth

Published By: Magento     Published Date: Feb 13, 2018
Commerce is permanently altering the way B2B businesses work- from customer acquisition to customer retention, and from order fulfillment to building a relationship with customers. From our experience of working with B2B companies across industries, we have curated a list of 11 most common obstacles to B2B eCommerce success, including: Thinking About eCommerce In Isolation Ignoring Customer Experience No Advanced Analytics Failure Maintain and Improve Systems
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Magento

2013 Wisdom of the Crowds Business Intelligence Market Study

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

2014 Analytics Capability-Maturity Benchmark Study

Published By: Adobe     Published Date: Apr 17, 2014
Discover new opportunities for maturing your data practices—and building your business results. You’ll learn how to move beyond mere web analytics to build a more comprehensive marketing analytics approach that includes mobile, social, and offline channels. And you’ll see how your current analytics capabilities compare to those of similar organizations and where you have opportunities for improvement.
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adobe, analytics, marketing, data collection, data automation, marketing automation, web analytics, marketing analytics
    
Adobe

2016 From Data to Insights to Opportunities

Published By: IBM     Published Date: Jul 22, 2016
Ordinary analytics tools can’t keep up with today’s digital, multichannel and demanding customers. This guide highlights three major challenges associated with traditional analytics and how innovative strategies combined with IBM’s Customer Experience Analytics solution can solve them.
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ibm, commerce, customer analytics, customer insight, data insights, business opportunity, analytics, knowledge management
    
IBM

2016 Gartner Magic Quadrant for Business Intelligence and Analytics Platforms

Published By: Qlik     Published Date: Jun 24, 2016
Get your complimentary copy of Gartner’s report for in-depth analysis of where BI is headed in 2016, who the major vendors are, and why Qlik is positioned in the Leaders quadrant for the sixth consecutive year.
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qlik, business intelligence, data analytics, business analytics, application integration, business integration, analytical applications, information management
    
Qlik

2018 Global State of Enterprise Analytics Report

Published By: MicroStrategy     Published Date: Aug 21, 2019
Ready or not, the future is here. For enterprise organizations, it must be a data-driven one. Whoever can use technology to transform the customer experience, and be the first to discover and deliver on new business models, will be the disruptor. Those who can’t, the disrupted in this period known as the “era of Digital Darwinism.” The future belongs to the Intelligent Enterprise which anticipates constantly evolving regulatory, technological, market, and competitive challenges and turns them into opportunity and profit. It delivers a single version of the truth and agility. It connects to any data and distributes reports to thousands. The Intelligent Enterprise goes beyond business intelligence, delivering transformative insight to every user, constituent and partner. Are most organizations there yet? As brands hone and focus their 2020 (and even 2030) vision, MicroStrategy has surveyed 500 enterprise analytics professionals on the state of their organization’s analytics initiatives.
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MicroStrategy

2019 Gartner Magic Quadrant for Data & Analytics service Providers, Worldwide

Published By: Group M_IBM Q4'19     Published Date: Sep 26, 2019
IBM has been named a Leader in Gartner's Magic Quadrant for Data & Analytics Services. According to the report, by 2022, 90% of corporate strategies are expected to view information as a critical enterprise asset, and analytics as an essential competency. Data and analytics service providers can help leaders accelerate and transform their ability to deliver data-driven insights and innovation solutions to businesses. Get complimentary access to Gartner's latest Magic Quadrant report for Data & Analytics Service Providers.
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Group M_IBM Q4'19

23 Reasons Why Companies Choose Integrated XBRL

Published By: IBM Business Analytics     Published Date: Jun 23, 2011
Companies globally must determine the approach to compliance with mandated use of XBRL and significantly accelerating financial reporting. Here are 23 reasons to why an integrated approach towards external reporting is required by organizations today.
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ibm business analytics, integrated xbrl tagging, extensible business reporting language, bolt-on, tag once, taxonomy collaboration, validation, xhtml
    
IBM Business Analytics

3 Key Cloud Monitoring Metrics

Published By: Viavi Solutions     Published Date: Apr 01, 2015
Ready to effectively monitor in the cloud? It’s time to go beyond vendor provided data and establish performance metrics and baselines that matter. The 3 Key Cloud Monitoring Metrics IT Brief helps you identify cloud monitoring challenges while providing the strategies to succeed.
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cloud monitoring, cloud metrics, business analytics, performance monitoring, data, cloud data, metrics, business metrics
    
Viavi Solutions

3 Ways to Boost IT Agility and Responsiveness

Published By: Cherwell Software     Published Date: Sep 22, 2015
This ebook provides three concrete methods for keeping modern IT departments cutting edge and competitive.
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application management, business intelligence analytics, business process management (bpm), contact center solutions, customer service best practices, application performance management, best practices, business intelligence
    
Cherwell Software

3 Ways to Break Through Barriers to Omnichannel Success

Published By: ttec     Published Date: Oct 16, 2019
Omnichannel, in its most complete definition, means taking into account individual customer needs and perspectives to create seamless customer experience within and across multiple channels. The customer is in control, which creates amazing customer experiences and reduces friction for users and the business. With a true omnichannel experience, each conversation is a continuation from the last and customers don’t have to reiterate their problems multiple times to multiple people. It provides better insights into a customer’s next action, and it enables more personalized product recommendations and proactive outreach. Through technology and analytics, brands can improve their operational efficiency, optimize their channel mix, and take advantage of lower-cost channels, all while enabling a better experience for their customers.
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ttec

360 Degree Marketing Intelligence: The Ultimate Guide to Integrating CRM and Google Analytics Data

Published By: MoreVisibility     Published Date: Dec 19, 2017
As the approach to strategic business decision making becomes more and more data driven, a method for consolidating our various data sets, which are often spread across multiple systems becomes exceedingly important. Two of the biggest players in data driven decision making are website analytics platforms and customer relationship management systems. The former includes accumulating data on top of the funnel behavior such as site traffic origins, lead generation, content consumption tracking, device usage, and overall site behavior. While the latter has a focus more on bottom of the funnel activity such as lead nurturing, customer status, lifetime value, etc. Lastly, without communication between these two essential platforms, a complete understanding of your customers, from lead to longtime client, may never be possible. A web analytics (Google Analytics) and CRM integration provides you with a 360 degree view of your customer base, so that you can understand not just what PPC efforts
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MoreVisibility

4 Steps to Make Product Management More Customer-Centric Using VOC

Published By: Clarabridge     Published Date: Dec 03, 2013
The purpose of this white paper is to provide organizations with a four step roadmap that details how organizations can use VoC to make Product Management more customer-centric and significantly increase the odds of consistently delivering products that are successful in the marketplace.
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clarabridge, customer behaviors, social media program, interacting with customers, product and service problems, respond quickly, customer satisfaction, customer loyalty
    
Clarabridge

5 Data management for analytics best practices

Published By: SAS     Published Date: Aug 28, 2018
“Unpolluted” data is core to a successful business – particularly one that relies on analytics to survive. But preparing data for analytics is full of challenges. By some reports, most data scientists spend 50 to 80 percent of their model development time on data preparation tasks. SAS adheres to five data management best practices that help you access, cleanse, transform and shape your raw data for any analytic purpose. With a trusted data quality foundation and analytics-ready data, you can gain deeper insights, embed that knowledge into models, share new discoveries and automate decision-making processes to build a data-driven business.
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SAS

5 Data management for analytics best practices  

Published By: SAS     Published Date: Mar 06, 2018
For data scientists and business analysts who prepare data for analytics, data management technology from SAS acts like a data filter – providing a single platform that lets them access, cleanse, transform and structure data for any analytical purpose. As it removes the drudgery of routine data preparation, it reveals sparkling clean data and adds value along the way. And that can lead to higher productivity, better decisions and greater agility. SAS adheres to five data management best practices that support advanced analytics and deeper insights: • Simplify access to traditional and emerging data. • Strengthen the data scientist’s arsenal with advanced analytics techniques. • Scrub data to build quality into existing processes. • Shape data using flexible manipulation techniques. • Share metadata across data management and analytics domains.
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SAS

5 Data Visualization Best Practices for Ad Hoc Reporting

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
    
GrapeCity, Inc.

5 Recurring Revenue Growth Secrets

Published By: ServiceSource     Published Date: Nov 01, 2013
In this book we describe best practices honed through 13 years of experience and partnership with some of the leading technology companies in the world. These best practices will give you insight into three key areas: • Data management & renewal opportunity generation • Sales strategy & execution • Continuing the renewal cycle We hope you enjoy this book!
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reducing customer churn, servicesource, recurring revenue, higher profit margins, drive innovation, drive performance, saas companies, competitive markets
    
ServiceSource
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