analytics service

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Published By: IBM     Published Date: Jul 21, 2016
This e-book explores the many uses of client insights for banking and wealth management. By using sophisticated analytics and cognitive capabilities, your organization can gain deep understanding of what matters most to your clients. Knowing them well helps to provide targeted, personalized service that they value and increases their loyalty. It’s a smart pathway for reducing churn and generating new revenue models through meaningful cross-selling opportunities in today’s customer-centric world.
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ibm, banking, client insight, financial services, engagement, client insights, knowledge management, enterprise applications, investing, finance
    
IBM
Published By: EMC Corporation     Published Date: Jul 07, 2013
Forward-looking enterprises know there's more to big data than strong and managing large volumes of information. Big data presents an opportunity to leverage analytics and experiment with all available data to derive value never before possible with traditional business intelligence and data warehouse platforms. Through a modern, big data platform that facilitates self-service and collaborative analytics across all data, organizations become more agile and are able to innovate in new ways.
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enterprises, storage, information management, technology, platform, big data analytics, emc, self service, business intelligence, security, knowledge management, enterprise applications, data management
    
EMC Corporation
Published By: EMC Corporation     Published Date: Jul 07, 2013
Competitive enterprises that embark on big data strategies do so with the expectation that their businesses will transform. They don't just want answers from the data they collect and analyze, they want results. Be it with small, fledgling trials or large, cross-functional efforts, these enterprises want to see clearly how big data can make a difference - with their customers, their processes, their bottom lines and, most important, with growing the business.
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storage, enterprises, information management, technology, platform, big data analytics, emc, self service, business intelligence, security, knowledge management, enterprise applications, platforms, data management
    
EMC Corporation
Published By: Workday     Published Date: Jan 17, 2019
How can you put the power of real-time analytics into the hands of business users? Watch this video to learn about the technologies surrounding self-service analytics and data integration, and how you can use them to lead a data-driven organization.
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Workday
Published By: NetApp     Published Date: May 29, 2018
The analytics and BI platform market's multiyear shift of focus from IT-led reporting to business-led self-service analytics is now mainstream. Data and analytics leaders should invest in modern platforms for greater accessibility, agility and analytical insight from a diverse range of data sources.
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NetApp
Published By: Anaplan     Published Date: Apr 06, 2016
A Harvard Business Review Analytics Services White Paper Finance is constantly tested to keep pace in today’s business environment. To keep up, planning needs to become a continuous process that spans departmental boundaries and enables managers to collectively realign resources to respond to market changes. Organizations must streamline disparate sales and operational planning with traditional financial planning and analysis by using technology to connect people, data, and processes across the organization. Download this white paper to discover the three steps to moving towards finance-led integrated business planning recommended by the Harvard Business Review.
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analytics, planning, cfo, operations, business practices, revenue, growth, enterprise business, finance trends, business analytics, business process, harvard business review, hbr, financial planning, corporate finance, fp&a, budgeting, integrated business planning, ibp, finance
    
Anaplan
Published By: Splunk     Published Date: Sep 10, 2018
collectd is an open source daemon that collects system and application performance metrics. With this data, collectd then has the ability to work alongside other tools to help identify trends, issues and relationships not easily observable. Read this e-book to get a deep dive into what collectd is and how you can begin incorporating it into your organization’s environment.
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it event management, it event management tool, event logs, aiops platform, what is aiops, aiops vendor, market guide for aiops platforms, guide for aiops platforms, monitor end to end, itoa, aiops, predictive analysis, machine learning, event correlation, event management, it operations analytics, it analytics, ibm watson, hp monitoring, hp operations manager
    
Splunk
Published By: IBM APAC     Published Date: May 14, 2019
Clients can realize the full potential of artificial intelligence (AI) and analytics with IBM’s deep industry expertise, technology solutions and capabilities and start to infuse intelligence into virtually every business decision and process. IBM’s AI & Analytics Services organization is helping enterprises get their data ready for AI and ultimately achieve stronger data-driven decisions; access deeper insights to provide improved customer care; and develop trust and confidence with AI-powered technologies focused on security, risk and compliance. Artificial intelligence (AI) is moving beyond the hype cycle, as more and more organizations seek to adopt AI-related technologies. These organizations are focusing on prioritizing functional areas and use cases, placing a stronger emphasis on topline growth, taking up a renewed interest in their data infrastructure and articulating greater unease about the skills of their knowledge workers. This report explores how they are approaching str
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IBM APAC
Published By: Teradata     Published Date: May 02, 2017
As companies consider incorporating enterprise-level cloud services offered by Amazon Web Services, Microsoft Azure, Teradata, and others, many challenges arise related to data security, integration into existing data architecture, and analytics activities themselves. Download this article to understand these and other considerations for evaluating and adopting a cloud strategy for your enterprise, and what it means for analytics.
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cloud analytics, cloud development, cloud storage, cloud management, cloud security, cloud services, storage analytics
    
Teradata
Published By: IBM     Published Date: Feb 02, 2016
Read this editorial to learn about the challenges and opportunities ahead for energy companies, and find out how utilities can use analytics to improve satisfaction by gaining insight into consumption and billing patterns—as well as the products and services that interest customers most.
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ibm, analytics, energy, utilities, customer experience, social media, data, customer management
    
IBM
Published By: IBM     Published Date: Apr 21, 2016
Read this editorial to learn about the challenges and opportunities ahead for energy companies, and find out how utilities can use analytics to improve satisfaction by gaining insight into consumption and billing patterns—as well as the products and services that interest customers most.
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ibm, customer experience, energy, utilities, customer relations
    
IBM
Published By: IBM     Published Date: Oct 13, 2016
Use big data to build an integrated, more personalized approach to marketing, business strategy, customer service and more.
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ibm, analytics, data, mdm, ibm software, business strategy, customer service, knowledge management, enterprise applications
    
IBM
Published By: IBM     Published Date: Jan 27, 2017
High-priority big data and analytics projects often target customer-centric outcomes such as improving customer loyalty or improving up-selling. In fact, an IBM Institute for Business Value study found that nearly half of all organizations with active big data pilots or implementations identified customer-c entric outcomes as a top objective (see Figure 1).1 However, big data and analytics can also help companies understand how changes to products or services will impact customers, as well as address aspects of security and intelligence, risk and financial management, and operational optimization.
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IBM
Published By: Intel     Published Date: Apr 16, 2019
The data center is coming under immense pressure. The boom in connected devices means increasing volumes of data – and all that needs processing. One way for CSPs to accelerate customer workloads is by using FPGAs, which are easier to use than ever before. Download Intel's latest eGuide, ‘FPGA-as-a-Service: A Guide for CSPs' to discover: • How to add FPGAs to the data center • The structure of the Intel® Acceleration Stack for FPGAs • Adding off-the-shelf accelerator functions • How FPGAs can accelerate many cloud services, such as database as a service and analytics as a service
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Intel
Published By: Waterline Data & Research Partners     Published Date: Nov 07, 2016
Business users want the power of analytics—but analytics can only be as good as the data. To perform data discovery and exploration, use analytics to define desired business outcomes, and derive insights to help attain those outcomes, users need good, relevant data. Executives, managers, and other professionals are reaching for self-service technologies so they can be less reliant on IT and move into advanced analytics formerly limited to data scientists and statisticians. However, the biggest challenge nontechnical users are encountering is the same one that has been a steep challenge for data scientists: slow, difficult, and tedious data preparation.
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Waterline Data & Research Partners
Published By: ServiceNow     Published Date: Apr 12, 2017
Read The Total Economic Impact™ of ServiceNow, an April 2017 commissioned study conducted by Forrester Consulting on behalf of ServiceNow, to understand the benefits, costs, and risks associated with the following ServiceNow solutions: IT Service Management, IT Operations Management, and Performance Analytics. The study, commissioned by ServiceNow, covers key findings in these three categories: Modernizing IT Service Management Eliminating Service Outages Optimizing Performance with Real?time Analytics Forrester interviewed seven current ServiceNow customers with years of experience using the solutions identified above. The purpose of the study is to provide potential customers with a framework to evaluate the real world customer experience and economic impact of the Now platform on their organizations.
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operations management, performance analytics, it management, it automation, it ticketing, help desk, service desk, itsm, it service management, management, service, automation, productivity, infrastructure
    
ServiceNow
Published By: SAP     Published Date: Jul 18, 2016
A long-time user of SAP software, SAP for Retail solutions are the IT backbone of ULTA's operations. From real-time data to analytics, to automated back-end processes, to comprehensive employee support. ULTA is using IT to drive better, more personalized service and consistent shopping experiences. Learn how SAP helps ULTA Beauty Run Simple.
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SAP
Published By: SAP     Published Date: Jul 18, 2016
The broad shift from on-premises to cloud deployments has begun, and spending on cloud business analytics will grow five times faster than similar on-premises solutions. Read the white paper to learn some of drivers and the roadblocks of cloud-based business analytics solution deployments, and the offerings from SAP in this market.
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SAP
Published By: VMware     Published Date: Jun 04, 2019
What started as “digital” transformation has blossomed into a trend that’s driving organizations to become “digital businesses.” Using emerging technologies like analytics, machine learning, and an on-demand approach to delivering IT services, many organizations are moving to a cloud model to implement this transformation. Organizations that leverage the cloud can accelerate product development, speed innovation, and empower workers to be more productive.
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VMware
Published By: Determine (Selectica)     Published Date: Jun 29, 2017
Cloud-based solutions are revolutionizing the way that enterprises conduct business. These web-based versions of common business tools, like analytics or document management tools, retain most or all of the functionality of their desktop versions and provide significant access, customization, and utility to end users. More organizations are ditching on-premises solutions and adopting cloud-based tools, also known as Software-as-a-Service (SaaS), "hosted," or "on-demand" solutions. The are becoming invaluable assets in today's agile and mobile workforce.
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Determine (Selectica)
Published By: IBM     Published Date: Jan 18, 2017
You’ve taken the first step and already know that a document- oriented database is the right database for your application. From here, you still have to decide where and how you’ll deploy the software and its associated infrastructure. These decisions lead to additional considerations around administrative overhead, technical support, open-source options, data sovereignty and security, and more. This paper aims to outline the deployment options available when you select IBM® Cloudant® as your JSON store.
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ibm, cloud, analytics, cloudant managed service, cloudant local, apache couchdb, databases, enterprise applications
    
IBM
Published By: Alteryx, Inc.     Published Date: Apr 21, 2017
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
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Alteryx, Inc.
Published By: Alteryx, Inc.     Published Date: Apr 21, 2017
Data Analytics has become critical for many business decision makers. However, many of these managers and data analysts still rely on spreadsheets and other legacy-era tools that fall far short of current needs. As a result, they also rely heavily on a virtual army of data specialists and scientists, working under the auspices of a centralized analytics group, to prepare, blend, analyze, and even report on the critical data they need for decision making. Download this new paper to get the details behind self-service data analytics, and how it lets business analysts: Take charge of the entire analytical process, instead of relying on other departments Overcome limitations of legacy tools to save time and prevent errors Make more comprehensive and insightful business decisions at speed
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Alteryx, Inc.
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: ServiceNow     Published Date: Sep 18, 2018
Where are you on the journey to performance analytics excellence? Almost all businesses use some form of analytics, but many are still not applying them to measure performance against quantifiable goals. Use this maturity model to see how far you’ve come on the path to performance analytics—and how far you need to go. No matter where you’re starting from, there’s a path to performance analytics. Discover how ServiceNow Performance Analytics could benefit your business by downloading this eBook.
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performance, analytics, servicenow
    
ServiceNow
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