agile analytics

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By: BitStew     Published Date: Jun 23, 2016
If we examine the root cause of the IT organization’s pain, it continues to be the inability to integrate data from many disparate and operationally focused systems. A recent survey found that only 18% of the respondents had extensively integrated their analytics initiatives across operations and realized their objectives, which pointed to the diversity of datasets and formats and poor data quality. Indeed, data integration is causing the analytics burden to be placed on IT professionals. Download the white paper to learn more.
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     BitStew
By: Infinidat EMEA     Published Date: Jun 10, 2019
Digital disruption, economic instability, political upheavals and skills shortages have all at some point in the past 24 months been blamed for business failure, or at the very least, lost profitability and earnings. It’s perhaps not a huge surprise that a Gartner CEO survey on business priorities revealed that digital business is a top priority for next year. Survey respondents were asked whether they have a management initiative or transformation program to make their business more digital. The majority (62 percent) said they did. Of those organisations, 54 percent said that their digital business objective is transformational while 46 percent said the objective of the initiative is optimisation.* So, for businesses it’s a case of learning to evolve and be agile, to use technology to help compete more efficiently and not fall victim to inertia. As businesses become increasingly dependent on the insights from data analytics and face-up to competition fuelled by the 24/7 society of in
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     Infinidat EMEA
By: Attunity     Published Date: Jan 14, 2019
This whitepaper explores how to automate your data lake pipeline to address common challenges including how to prevent data lakes from devolving into useless data swamps and how to deliver analytics-ready data via automation. Read Increase Data Lake ROI with Streaming Data Pipelines to learn about: • Common data lake origins and challenges including integrating diverse data from multiple data source platforms, including lakes on premises and in the cloud. • Delivering real-time integration, with change data capture (CDC) technology that integrates live transactions with the data lake. • Rethinking the data lake with multi-stage methodology, continuous data ingestion and merging processes that assemble a historical data store. • Leveraging a scalable and autonomous streaming data pipeline to deliver analytics-ready data sets for better business insights. Read this Attunity whitepaper now to get ahead on your data lake strategy in 2019.
Tags : data lake, data pipeline, change data capture, data swamp, hybrid data integration, data ingestion, streaming data, real-time data, big data, hadoop, agile analytics, cloud data lake, cloud data warehouse, data lake ingestion, data ingestion
     Attunity
By: K2     Published Date: Aug 24, 2015
This complementary template focuses on the eight key areas for business process automation success to help you evaluate the quality of the platforms you are considering – and to ensure that the system you choose is agile and flexible enough to meet your business needs. WORKFLOW TOOLS AND FEATURES FORMS INTEGRATION AND DATA SECURITY MOBILE USER AND RUN-TIME EXPERIENCE REPORTING, ANALYTICS AND MONITORING MAINTENANCE/SUPPORT/HELP DOCUMENTATION
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     K2
By: MuleSoft     Published Date: Jan 25, 2016
IT used to be so simple. Companies owned their own technology equipment and purchased enterprise licenses for many of the applications anybody in the organization might care to use. But then the cloud emerged, and mobile, and social media, and IoT; the world of IT has never been the same. Today's businesses are software-driven enterprises with technology capability distributed throughout the company, utilizing countless third-party cloud-based applications. This new organization requires an cultural shift in the IT organization. Read this whitepaper to learn: -How businesses can reorganize themselves into lightweight, agile, modular businesses able to respond to innovations in SaaS, mobile, and analytics -How to build a technological architecture that can accommodate new technology yet still extract value from on-premises systems -The advantages of an API-led connected architecture vs. old SOA approaches
Tags : technology, enterprise applications, best practices, business optimization, technology architecture
     MuleSoft
By: MuleSoft     Published Date: Sep 08, 2016
The organization as we’ve known it is barely clinging to life support. Increasingly, the calcified, creaky business systems and processes that have been embedded in organizations for decades are being swept away by more agile digital disruptors. Online and app-based companies powered by cloud, open APIs, data analytics, mobile, social, and connected to the Internet of Things are redefining markets and raising consumer expectations.
Tags : mulesoft, forbes, api, cloud, data analytics
     MuleSoft
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.
By: Alteryx, Inc.     Published Date: Sep 06, 2017
According to Forrester, the level of analytic satisfaction within organizations is on the decline.* 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 Find out how self-service data analytics bridges the gap across skills, speed, and depth of analysis to empower you to achieve ever-greater insights without coding or depending on other departments.
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     Alteryx, Inc.
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 .
Tags : business intelligence, agile bi, self service bi, bi in the cloud, unified bi, mobile bi, embedded analytics, business analytics, sales analytics, hr analytics, marketing analytics, financial analytics, supply chain analytics, automated data management, dashboards, infrastructure
     Birst
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.
Tags : business intelligence, agile bi, self service bi, bi in the cloud, unified bi, mobile bi, embedded analytics, business analytics, sales analytics, hr analytics, marketing analytics, financial analytics, supply chain analytics, automated data management, dashboards, infrastructure
     Birst
By: Birst     Published Date: Jul 16, 2013
Discover seven indications that you need advanced analytics for your CRM application and why they matter. Learn about common CRM data analysis pain points and how advanced CRM analytics can solve them.
Tags : business intelligence, agile bi, self service bi, bi in the cloud, unified bi, mobile bi, embedded analytics, business analytics, sales analytics, hr analytics, marketing analytics, financial analytics, supply chain analytics, automated data management, dashboards, infrastructure
     Birst
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.
Tags : business intelligence, agile bi, self service bi, bi in the cloud, unified bi, mobile bi, embedded analytics, business analytics, sales analytics, hr analytics, marketing analytics, financial analytics, supply chain analytics, automated data management, dashboards, infrastructure
     Birst
By: Birst     Published Date: Jul 16, 2013
This BI guide has 10 real-life business scenarios that will elicit your business intelligence requirements in plain English. Key stakeholders and executive sponsors will get an easy-to-digest view of business intelligence requirements without getting into the details.
Tags : business intelligence, agile bi, self service bi, bi in the cloud, unified bi, mobile bi, embedded analytics, business analytics, sales analytics, hr analytics, marketing analytics, financial analytics, supply chain analytics, automated data management, dashboards, infrastructure
     Birst
By: Aprimo     Published Date: May 01, 2012
The real-time buzzword is back. Marketers, vendors, and service providers use this term in a variety of scenarios to describe technologies, analytics, customer service, and processes. In this report, Forrester outlines how firms should evaluate the need to build an agile and real-time environment using a combination of analytics, technology, and business processes.
Tags : aprimo, marketing, customer relations, crm, customer satisfaction, customer data, marketing strategy
     Aprimo
By: Teradata     Published Date: Jan 22, 2014
Today's agile businesses are seeking to expand analytics fast, gain flexible analytic deployment options and smooth cash flows. Download this paper to learn how Teradata understands these needs and has engineered a cloud solution that meets organizations' analytic needs.
Tags : cloud analytics, hadoop, analytics, cloud-based analytics, data warehousing, discovery capabilities, data management
     Teradata
By: IBM     Published Date: Apr 15, 2016
As business grows more digital, the hunger for faster, more adaptive delivery of BI and analytics will increase. Read this Gartner paper and see how to give your business what it needs.
Tags : ibm, business analytics, business intelligence, agile, decision making
     IBM
By: IBM     Published Date: Apr 01, 2016
Keep your workforce and systems current for faster DevOps, deployment, and management of cloud, analytics and mobile applications. Learn about updated, intuitive mainframe tools that are easy-to-to use for both millennials and baby-boomers.
Tags : ibm, agile, agile development, cloud, mobile, z systems
     IBM
By: IBM     Published Date: Jan 26, 2015
IBM Bluemix, a robust platform as a service (PaaS) to host and deploy your app, also provides a wide range of enterprise grade tools that can be used in your applications to run your business needs. The Analytics Warehouse Service available in IBM Bluemix provides a powerful, easy-to-use, and agile platform for business intelligence (BI) and analytics tasks. Check out this upcoming webcast to learn how you can create a ready-to-use BI and analytics service on Bluemix, in just a few clicks, and even access those results on an Android app.
Tags : analytics service, open cloud platform, ibm, web developers, mobile developers, business integration, security, it management, enterprise applications, data management, data center
     IBM
By: Attunity     Published Date: Nov 15, 2018
With the opportunity to leverage new analytic systems for Big Data and Cloud, companies are looking for ways to deliver live SAP data to platforms such as Hadoop, Kafka, and the Cloud in real-time. However, making live production SAP data seamlessly available wherever needed across diverse platforms and hybrid environments often proves a challenge. Download this paper to learn how Attunity Replicate’s simple, real-time data replication and ingest solution can empower your team to meet fast-changing business requirements in an agile fashion. Our universal SAP data availability solution for analytics supports decisions to improve operations, optimize customer service, and enable companies to compete more effectively.
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     Attunity
By: Attunity     Published Date: Nov 15, 2018
IT departments today face serious data integration hurdles when adopting and managing a Hadoop-based data lake. Many lack the ETL and Hadoop coding skills required to replicate data across these large environments. In this whitepaper, learn how you can provide automated Data Lake pipelines that accelerate and streamline your data lake ingestion efforts, enabling IT to deliver more data, ready for agile analytics, to the business.
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     Attunity
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