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Published By: AWS     Published Date: Apr 27, 2018
Until recently, businesses that were seeking information about their customers, products, or applications, in real time, were challenged to do so. Streaming data, such as website clickstreams, application logs, and IoT device telemetry, could be ingested but not analyzed in real time for any kind of immediate action. For years, analytics were understood to be a snapshot of the past, but never a window into the present. Reports could show us yesterday’s sales figures, but not what customers are buying right now. Then, along came the cloud. With the emergence of cloud computing, and new technologies leveraging its inherent scalability and agility, streaming data can now be processed in memory, and more significantly, analyzed as it arrives, in real time. Millions to hundreds of millions of events (such as video streams or application alerts) can be collected and analyzed per hour to deliver insights that can be acted upon in an instant. From financial services to manufacturing, this rev
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AWS
Published By: AWS     Published Date: Nov 28, 2018
Financial institutions run on data: collecting it, analyzing it, delivering meaningful insights, and taking action in real time. As data volumes increase, organizations demand a scalable analytics platform that can meet the needs of data scientists and business users alike. However, managing an on-premises analytics environment for a large and diverse user base can become time-consuming, costly, and unwieldy. Tableau Server on Amazon Web Services (AWS) is helping major Financial Services organizations shift data visualization and analytics workloads to the cloud. The result is fewer hours spent on manual work and more time to ask deeper questions and launch new data analyses, with easily-scalable support for large numbers of users. In this webinar, you’ll hear how one major asset management company made the shift to cloud data visualization with Tableau Server on AWS. Discover lessons learned, best practices tailored to Financial Services organizations, and starting tactics for scalable analytics on the cloud.
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AWS
Published By: AWS     Published Date: Dec 17, 2018
Watch this webinar to learn best practices from Zaloni for creating flexible, responsive, and cost-effective data lakes for advanced analytics that leverage Amazon Web Services (AWS).
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AWS
Published By: Qlik     Published Date: Nov 10, 2015
Gain your competitive advantage by downloading IDC’s MaturityScape: Big Data and Analytics in Financial Services.
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qlik, big data, analytics, data analytics, financial data
    
Qlik
Published By: Comcast Business     Published Date: Dec 04, 2018
The use of data analytics as a driver for increased efficiencies and better customer service is proving valuable across industries. In the QSR space, data analytics is being adopted as a way to help QSRs stay competitive and grab a larger share of the market, as customers increasingly include speed and convenience as important factors in choosing where to eat.
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Comcast Business
Published By: Centrify Corporation     Published Date: Apr 13, 2018
A Zero Trust approach to security requires a combination of Identity Services to deliver identity assurance, trusted endpoints, conditional policy and least privilege. This guide identifies the specific capabilities you need within four key areas of identity and helps you compare capabilities across major vendors with respect to Application Services, Endpoint Services, Infrastructure Services and Analytics Services.
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Centrify Corporation
Published By: Oco, Inc.     Published Date: Jun 24, 2008
As a Services Executive are you struggling with questions regarding what to measure, how to effectively engage with your customers, and what information should be leveraged and shared with service-chain partners and customers? Leading edge organizations are making tools and data available to their suppliers and customers with aggregated information from multiple data systems. Service-chain partners and customer personnel can now see the same views of service performance and activity. This is the next frontier to creating customer "stickiness" and business growth.
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business analytics, oco, service management, analytical applications, dashboard, analytic, growth
    
Oco, Inc.
Published By: Accelops     Published Date: Nov 05, 2012
Read this white paper to learn how the combination of discovery, data aggregation, correlation, out-of-the-box analytics, data management, and reporting can yield a single pane of glass into data center and IT operations and services.
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accelops, data center, cloud service, cloud service management
    
Accelops
Published By: GrapeCity, Inc.     Published Date: Feb 25, 2013
Since business-wide deployment of ad hoc reporting tools can be a resource-intensive process, this white paper offers five-step roadmap of evaluation steps to help fully assess the quality of the products under consideration.
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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
Gartner predicts that by 2016, 40 percent of the global workforce will be mobile, and, by 2018, 70 percent of workers will be mobile. This white paper discusses how to choose a mobile ad hoc BI solution.
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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
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: Schneider Electric     Published Date: Aug 15, 2017
Schneider Electric is integrating datacenter infrastructure management (DCIM) software, big-data analytics and cloud services into the management of customers’ datacenters. Its recently launched StruxureOn cloud offering signals a new wave in datacenter operations, using a combination of machine learning, anomaly detection and event-stream playback to give operators real-time insights and alarming via their smartphones. More capabilities and features are planned, including predictive analysis and, eventually, automated action. Schneider’s long-term strategy is to build a partner ecosystem around StruxureOn, and provide digital services that span its traditional datacenter business.
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incident tracking, historical trending, troubleshooting, operational analysis, prediction model, schneider equipment, maintenance, firmware updates
    
Schneider Electric
Published By: SAP     Published Date: May 02, 2011
Watch Sanjay Poonen, president of global solutions go-to-market at SAP provide insight about SAP Rapid Deployment solutions, and what makes them so attractive for our customers.
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rapid deployment, sap, predictive analytics, customer service
    
SAP
Published By: IBM     Published Date: Jul 23, 2015
IBM Predictive Analytics Solution for Schools and Educational Systems,PASSES,is a product and services offering that enables schools to improve student performance.
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predictive analytics solutions, educational systems, compliance, data analytics, student performance, ibm, passes
    
IBM
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
    
IBM
Published By: IBM     Published Date: Jul 19, 2016
Learn how IBM Cognos Analytics has come to market with a substantial refresh of its new user experience and self-service access to core enterprise capabilities.
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ibm, ibm cognos analytics, analytics, business intelligence, business analytics
    
IBM
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: Mar 06, 2018
When designed well, a data lake is an effective data-driven design pattern for capturing a wide range of data types, both old and new, at large scale. By definition, a data lake is optimized for the quick ingestion of raw, detailed source data plus on-the-fly processing of such data for exploration, analytics, and operations. Even so, traditional, latent data practices are possible, too. Organizations are adopting the data lake design pattern (whether on Hadoop or a relational database) because lakes provision the kind of raw data that users need for data exploration and discovery-oriented forms of advanced analytics. A data lake can also be a consolidation point for both new and traditional data, thereby enabling analytics correlations across all data. With the right end-user tools, a data lake can enable the self-service data practices that both technical and business users need. These practices wring business value from big data, other new data sources, and burgeoning enterprise da
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SAS
Published By: SAS     Published Date: Mar 06, 2018
The headlines and major company announcements share a common theme: Competitive disruption is reshaping business models and organizations’ very futures. Around the global automotive industry, component and original equipment manufacturers (OEMs) are taking a hard look at where their future growth will come from ? and it’s not all based on their core businesses. New technology has opened the door for new services and revenue streams.
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SAS
Published By: SAS     Published Date: Jun 06, 2018
Today’s consumers expect immediate, personalized interactions. To meet these expectations, companies must differentiate their brands through timely, targeted and tailored customer experiences based on real-time data analytics. This report, sponsored by SAS, Intel and Accenture and conducted by Harvard Business Review Analytic Services, looks at how businesses are using advanced customer data analytics, along with real-time analytics and real-time marketing, to enhance their customers’ experiences. Learn why organizations that place a high value on real-time capabilities still struggle to achieve them, what companies can do to ensure success as they adopt and implement real-time analytics solutions, and what benefits successful companies are already seeing.
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SAS
Published By: Sysomos     Published Date: Oct 24, 2012
Leading brands use social media to attract and nurture brand evangelists, to generate leads and make sales, and much more. Here are 8 tips that Sysomos recommends for building your brand with social media.
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social media monitoring tools, business intelligence, analysis, analytics, dashboard, tracking, trends, assessment, agency, marketers, business, enterprise, network, twitter, facebook, fans (24), building brands, evangelists, products, services
    
Sysomos
Published By: IBM     Published Date: Jul 27, 2015
Read this issue to learn how to tap into the massive amounts of data and information across your organization.
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cloud-based data management, sustainability energy, future of energy, data analytics, utility analytics, grid optimization, advanced analytics integration, cloud-based services
    
IBM
Published By: Adobe     Published Date: Nov 05, 2014
When mobile is done right, businesses reap the benefits. Companies using mobile analytics see an 11.2% increase in marketing ROI compared to a 15.9% decrease for companies that don’t. The Aberdeen Group report, Mobile Analytics: Precision Marketing across Mobile Touch-Points, provides insights into better mobile strategies. Read the report to see how incorporating analytics into your mobile marketing strategy will: • Increase brand awareness • Raise your return on marketing investments • Boost average order value • Improve time-to-market of products and services
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mobile analytics, precision marketing, mobile touch-points, mobile analytics
    
Adobe
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