self service bi

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Published By: TIBCO Software APAC     Published Date: Aug 13, 2018
The popularity of integration platform as a service (iPaaS) started with business users looking to gain control and share data among their proliferating SaaS apps?without needing IT intervention. iPaaS was then adopted by IT to support business users to ensure security measures were being maintained and to provide more of a self-service environment. Now, iPaaS has evolved from a niche solution to taking a much bigger role: Read this whitepaper to learn about: Drivers for cloud integration Five emerging uses cases for iPaaS that enable better responsiveness, APIs, event-driven capabilities, human workflows, and data analysis Questions to ask when evaluating your current solution
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TIBCO Software APAC
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: Dell EMC     Published Date: Sep 12, 2016
Cloud computing is transforming IT in terms of how services are delivered, how infrastructure is deployed and managed, and how IT organizations structure themselves. For the purposes of this study, Forrester is defining a cloud solution as having three major characteristics: “self-service access, full automation of processes and policies, and metering and tracking of usage.”1 It then becomes a question of whether you manage your cloud(s) yourself, outsource it, or use a hybrid combination of private and public cloud resources.
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Dell EMC
Published By: SAS     Published Date: Jan 17, 2018
What can you see and discover when you’re able to explore trends and make predictions with your organization’s data? If you’re a midsize home delivery business, you can discover new ways to make customers happy. If you’re a local government agency, you can predict where your resources are needed most. And if you’re a growing hospital, you can bring life-changing patient data directly to doctors and nurses. In this e-book, we’ve profiled six organizations that are using self-service visual exploration to make big improvements in the way they work. From college administrators to professional sports teams, everyone makes better decisions with easy access to powerful, interactive analytics.
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SAS
Published By: SAP     Published Date: May 22, 2012
Is turning data into information still a challenge for your company? If so, you are not alone. View this on-demand Webinar with SAP and HP to learn how you can manage ever-increasing amounts of data; provide this data to business users to make critical decisions in a timely fashion; and enable true self-service business intelligence (BI) for business users.
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sap, business solutions, business technology, enterprise, technology, enterprise analytics
    
SAP
Published By: Carat_UK_QlikView     Published Date: Mar 18, 2014
A report into how Self-Service BI can make you happier and more productive.
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qlikview, business solutions, business discovery, performance data, trends, customer service, self-service bi, finance, financial services, accounting, small business
    
Carat_UK_QlikView
Published By: Carat_UK_QlikView     Published Date: Mar 18, 2014
A case study into the solutions provided by QlikView Business Discovery to the challenges of a fast growing business.
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qlikview, business solutions, business discovery, performance data, trends, customer service, self-service bi, finance, financial services, accounting, technology
    
Carat_UK_QlikView
Published By: IBM APAC     Published Date: Aug 25, 2017
Consumerization of IT and the Internet of Things (IoT) are revolutionizing how people live. Users are increasingly becoming accustomed to instant gratification when using technology in their personal lives, whether for gaming, shopping or managing their daily activities. And they want the same kind of immediate service when they go to work. To address this expectation, IT support needs to adapt, evolve and even revolutionize itself or become outdated. In short, IT support must reinvent itself into a friendly, proactive service that is tied directly to a business’ profitability.
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cognitive it support, transactions, system of engagement, soa, omnichannel support, ibm
    
IBM APAC
Published By: Oracle     Published Date: Nov 15, 2016
Digital disruption impacts every aspect of modern business. Access to peer opinion, knowledge, and self-service capabilities, from almost anywhere and from almost any device, has hugely transformed the way we run our businesses and lead our lives.
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Oracle
Published By: Oracle     Published Date: Nov 25, 2016
Digital disruption impacts every aspect of modern business. Access to peer opinion, knowledge, and self-service capabilities, from almost anywhere and from almost any device, has hugely transformed the way we run our businesses and lead our lives.
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Oracle
Published By: Oracle     Published Date: Nov 25, 2016
Digital disruption impacts every aspect of modern business. Access to peer opinion, knowledge, and self-service capabilities, from almost anywhere and from almost any device, has hugely transformed the way we run our businesses and lead our lives.
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Oracle
Published By: HP     Published Date: Jan 18, 2013
Virtualization increases the agility and flexibility of IT organizations looking to leverage automated self-service - giving birth to cloud service. Read to learn more about the troubles traditional storage systems have with cloud and keeping pace.
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hp technology, services for storage solutions, hp teech, white papers, virtualization
    
HP
Published By: VMware     Published Date: Jul 01, 2016
Cloud computing adoption continues to expand as the overall benefits of cloud (cost efficiency, self-service, and IT standardization) are becoming more broadly recognized. While private cloud is the primary type of cloud infrastructure that is in use today, organizations are finding that cloud can no longer be a standalone IT sourcing and consumption model. Enterprises demand greater flexibility and scalability, leading them to invest in hybrid cloud models, which supply them with a seamless application, data, and management environment across all of their IT resources. IDC expects that the percentage of users who adopt private or public cloud models will diminish over the next several years, as enterprises increasingly choose to implement a hybrid cloud model.
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vmware data center, vcloud air, vsphere, hybrid cloud, public cloud, private cloud, disaster recovery, data center extension, data center replacement, date center modernization, virtual private cloud
    
VMware
Published By: HP - Enterprise     Published Date: Jun 04, 2013
Businesses are overwhelmed with data; it’s a blessing and a curse. A curse because it can overwhelm traditional approaches to storing and processing it. A blessing because the data promises business insight that never existed earlier. The industry has spawned a new term, “big data,” to describe it. Now, IT itself is overwhelmed with its own big data. In the press to roll out new services and technologies—mobility, cloud, virtualization—applications, networks, and physical and virtual servers grow in a sprawl. With them comes an unprecedented volume of data such as logs, events, and flows. It takes too much time and resources to sift through it, so most of it lies unexplored and unexploited. Yet like business data, it contains insight that can help us solve problems, make decisions, and plan for the future.
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data research, big data, virtualization, applications, networks
    
HP - Enterprise
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: ServiceNow     Published Date: Mar 27, 2014
This paper provides CIOs and IT leaders with an insight into three IT imperatives that IT executives used to re-position IT and transform the enterprise.
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enterprise transformation, consolidation, self service, automation, visibility, it innovation
    
ServiceNow
Published By: Teradata     Published Date: May 02, 2017
Kylo overcomes common challenges of capturing and processing big data. It lets businesses easily configure and monitor data flows in and through the data lake so users have constant access to high-quality data. It also enhances data profiling while offering self-service and data wrangling capabilities.
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cost reduction, data efficiency, data security, data integration, financial services, data discovery, data accessibility, data comprehension
    
Teradata
Published By: IBM     Published Date: Aug 08, 2016
Using IBM API Connect demonstrates how to create, secure, and provide self-service to API across the ecosystem when designing a mobile app.
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ibm, middleware, api economy, ibm api connect, api management, api, mobile
    
IBM
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: Looker     Published Date: Dec 03, 2015
The focus of modern business intelligence has been self-service; pushing data into the hands of end users more quickly with more accessible user interfaces so they can get answers fast and on their own. This has helped alleviate a major BI pain point: centralized, IT-dominated solutions have been too slow and too brittle to serve the business. What has been masked is a lack of innovation in data modeling. Data modeling is a huge, valuable component of BI that has been largely neglected. In this webinar, we discuss Looker’s novel approach to data modeling and how it powers a data exploration environment with unprecedented depth and agility. Topics covered include: • A new architecture beyond direct connect • Language-based, git-integrated data modeling • Abstractions that make SQL more powerful and more efficient
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Looker
Published By: Datawatch     Published Date: Dec 16, 2015
In this paper, the Top 10 Ways to Supercharge Analyst Productivity with Data Preparation, learn how a self-service data preparation solution saves analysts’ time by allowing them to manipulate, filter, enrich, blend and combine disparate data sets in a matter of minutes.
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data preparation, data wrangling, analyst productivity, data analysis, cleaning data, data blending, finance
    
Datawatch
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: Group M_IBM Q1'18     Published Date: Feb 09, 2018
Thrill customers and empower employees with omni-channel, socially-infused digital experiences to drive better business outcomes IBM Customer Experience Suite features rich, integrated capabilities for managing web content, rich-media assets, real-time social communications, robust customer self-service capabilities, business analytics and mobile device delivery IBM Employee Experience Suite enables employees to easily find and share relevant information across multiple platforms, diverse geographies with multiple languages, and within the context of business applications
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digital experience, ibm, software
    
Group M_IBM Q1'18
Published By: IBM     Published Date: Jul 05, 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
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, visual analytics
    
SAS
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