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Published By: Insight Software     Published Date: Oct 03, 2017
Business is inherently complex and the options to help you manage your enterprise are essentially limitless. In an e?ort to help you navigate your way to higher performance, we’ve put together this all-inclusive reporting, analytics and planning kit – a must read for those wanting to surpass the status quo
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Insight Software
Published By: TIBCO Software EMEA     Published Date: Sep 21, 2018
BUSINESS CHALLENGE “Vestas is a global market leader in manufacturing and servicing wind turbines,” explains Sven Jesper Knudsen, Ph.D., senior data scientist. “Turbines provide a lot of data, and we analyze that data, adapt to changing needs, and work to create a best-in-class wind energy solution that provides the lowest cost of energy. “To stay ahead, we have created huge stacks of technologies—massive amounts of data storage and technologies to transform data with analytics. That comes at a cost. It requires maintenance and highly skilled personnel, and we simply couldn’t keep up. The market had matured, and to stay ahead we needed a new platform. “If we couldn’t deliver on time, we would let users and the whole business down, and start to lose a lot of money on service. For example, if we couldn’t deliver a risk report on time, decisions would be made without actually understanding the risk landscape.
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data solution, technology solution, data science, streaming data, fast data platform, self-service analytics
    
TIBCO Software EMEA
Published By: Oracle     Published Date: Oct 20, 2017
Modern technology initiatives are driving IT infrastructure in a new direction. Big data, social business, mobile applications, the cloud, and real-time analytics all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Customers increasingly drive the speed of business, and organizations need to engage with customers on their terms. The need to manage sensitive information with high levels of security as well as capture, analyze, and act upon massive volumes of data every hour of every day has become critical. These challenges will dramatically change the way that IT systems are designed, funded, and run compared to the past few decades. Databases and Java have become the de facto language in which modern, cloud-ready applications are written. The massive explosion in the volume, variety, and velocity of data increases the need for secure and effective analytics so that organizations can make bette
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Oracle
Published By: Oracle     Published Date: Oct 20, 2017
Modern technology initiatives are driving IT infrastructure in a new direction. Big data, social business, mobile applications, the cloud, and real-time analytics all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Customers increasingly drive the speed of business, and organizations need to engage with customers on their terms. The need to manage sensitive information with high levels of security as well as capture, analyze, and act upon massive volumes of data every hour of every day has become critical. These challenges will dramatically change the way that IT systems are designed, funded, and run compared to the past few decades. Databases and Java have become the de facto language in which modern, cloud-ready applications are written. The massive explosion in the volume, variety, and velocity of data increases the need for secure and effective analytics so that organizations can make bette
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Oracle
Published By: Oracle     Published Date: Oct 20, 2017
With the growing size and importance of information stored in today’s databases, accessing and using the right information at the right time has become increasingly critical. Real-time access and analysis of operational data is key to making faster and better business decisions, providing enterprises with unique competitive advantages. Running analytics on operational data has been difficult because operational data is stored in row format, which is best for online transaction processing (OLTP) databases, while storing data in column format is much better for analytics processing. Therefore, companies normally have both an operational database with data in row format and a separate data warehouse with data in column format, which leads to reliance on “stale data” for business decisions. With Oracle’s Database In-Memory and Oracle servers based on the SPARC S7 and SPARC M7 processors companies can now store data in memory in both row and data formats, and run analytics on their operatio
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Oracle
Published By: Oracle     Published Date: Oct 20, 2017
Databases have long served as the lifeline of the business. Therefore, it is no surprise that performance has always been top of mind. Whether it be a traditional row-formatted database to handle millions of transactions a day or a columnar database for advanced analytics to help uncover deep insights about the business, the goal is to service all requests as quickly as possible. This is especially true as organizations look to gain an edge on their competition by analyzing data from their transactional (OLTP) database to make more informed business decisions. The traditional model (see Figure 1) for doing this leverages two separate sets of resources, with an ETL being required to transfer the data from the OLTP database to a data warehouse for analysis. Two obvious problems exist with this implementation. First, I/O bottlenecks can quickly arise because the databases reside on disk and second, analysis is constantly being done on stale data. In-memory databases have helped address p
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Oracle
Published By: Microsoft     Published Date: May 04, 2017
Read on to find out how predict demand, personalise your offer and pre-empt operational issues to stay ahead.
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business analytics, business intelligence, data, marketing
    
Microsoft
Published By: Workday UK     Published Date: Mar 08, 2018
In the HR Outlook Report for Winter 2016/2017, brought to you by the CIPD in association with Workday, HR leaders discuss the priorities and challenges facing the function, both today and as we move into a business landscape which is anything but clear. Read the report and discover: • How HR leaders view their role in guiding their organisation through periods of economic and political uncertainty, such as Brexit • The uptake of analytics and big data to strengthen evidence-based decision making and the barriers preventing HR from adopting these technologies • HR’s priorities for 2017, and how these are shifting from 2016
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Workday UK
Published By: Workday UK     Published Date: Mar 08, 2018
Forrester, a leading independent research firm, analysed and scored the most significant cloud HR management systems on the market. Its findings? Workday is a leader in SaaS HRMS. In fact, we received the highest possible score in 16 criteria, including business vision, technology innovation, usability, mobile—and more. “Workday articulates a clear vision for the transformational value of the HR function and an innovative technology vision based on business flexibility, advanced analytics and user experiences, and a unified platform.” —Forrester Research, Inc., “The Forrester Wave™: SaaS Human Resource Management Systems, Q3 2017”; 22 August 2017. Get your complimentary report to learn: •Forrester’s objective review of each provider •How each provider measures up against Forrester’s rigorous criteria •Why Workday is a leader in SaaS HRMS
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Workday UK
Published By: Workday UK     Published Date: Jun 20, 2018
Discover how to use people analytics to your advantage The results are in. 65% of those who said they work in an organisation with a strong people analytics culture said that their business performance was strong when compared to competitors. But our new report, in partnership with the CIPD, reveals that despite the business case for people analytics being clear, there are several hurdles that need to be overcome. Read our report to discover the opportunities leaders like yourself can capitalise on – ensuring you understand your people better and boost business performance.
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Workday UK
Published By: Eloqua     Published Date: Jan 13, 2012
An emphasis on measurement has become part of the job description for most marketers in the current business climate. The results of this 2011 survey highlight the connection between analytics and contribution to revenue, illustrating the trends in marketing metrics.
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marketing measurement, revenue performance, marketing analytics, marketing revenue, marketing automation, revenue performance management, marketing metrics, lead nurturing, revenue creation
    
Eloqua
Published By: Oracle     Published Date: Jul 27, 2015
Analytics are changing how every company department does business. However, most HR departments are struggling to fully take advantage of analytics to unlock the true potential of their workforce.
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hr analytics, hr departments, workforce, human resources, management requests, hr management, quality employees
    
Oracle
Published By: CA Service Assurance     Published Date: May 15, 2011
Evolving to the next level of IT effectiveness requires a new level of integration and analysis of cross-silo management information. This involves linking application status and root-cause information with infrastructure status and relating that to impact on IT service quality. Read this brief to learn how this approach to IT management can benefit your organization.
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it operational efficiency, cross-silo, infrastructure status, it service quality, it management, business service analytics, reporting, business analytics, productivity, service management
    
CA Service Assurance
Published By: Genpact     Published Date: Jul 30, 2012
Tough economic conditions have made today's business environment more competitive than ever before.
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business process management, analytics, genpact, business analytics, productivity, project management
    
Genpact
Published By: SAP Inc.     Published Date: Jul 28, 2009
Decision-making is at the core of all business activity, as executives set strategy and manage operations by weighing a vast array of factors to arrive at the desired balance of risk and reward. The enormous growth of companies' size and operations in recent years-particularly across borders-is making this process increasingly complex. It is cause for alarm, then, that executives themselves perceive the quality of decision-making at their companies as mixed at best.
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sap, business intelligence, dashboards, analytics, decision-making, enterprise applications, platforms
    
SAP Inc.
Published By: Pentaho     Published Date: Mar 08, 2016
If you’re evaluating big data integration platforms, you know that with the increasing number of tools and technologies out there, it can be difficult to separate meaningful information from the hype, and identify the right technology to solve your unique big data problem. This analyst research provides a concise overview of big data integration technologies, and reviews key things to consider when creating an integrated big data environment that blends new technologies with existing BI systems to meet your business goals. Read the Buyer’s Guide to Big Data Integration by CITO Research to learn: • What tools are most useful for working with Big Data, Hadoop, and existing transactional databases • How to create an effective “data supply chain” • How to succeed with complex data on-boarding using automation for more reliable data ingestion • The best ways to connect, transport, and transform data for data exploration, analytics and compliance
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data, buyer guide, integration, technology, platform, research, enterprise applications
    
Pentaho
Published By: Pentaho     Published Date: Apr 28, 2016
Today, the need for self-service data discovery is making data governance a charged topic. As business-driven data discovery emerges as a fundamental need, the ability to ensure that data and analytics are trustworthy and protected becomes both more difficult and more imperative. This research explains how to manage the barriers and risks of self-service and enable agile data discovery across the organization by extending existing data governance framework concepts to the data-driven and discovery-oriented business. You’ll learn: - The implications of the "freedom vs. control" paradox - How to design for iterative, "frictionless" discovery - Critical checkpoints in data discovery process where governance should be in place
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pentaho, governed data, data and analytics, governance framework, freedom vs control, frictionless discovery, networking, it management, wireless, enterprise applications, data management
    
Pentaho
Published By: Pentaho     Published Date: Apr 28, 2016
As data warehouses (DWs) and requirements for them continue to evolve, having a strategy to catch up and continuously modernize DWs is vital. DWs continue to be relevant, since as they support operationalized analytics, and enable business value from machine data and other new forms of big data. This TDWI Best Practices report covers how to modernize a DW environment, to keep it competitive and aligned with business goals, in the new age of big data analytics. This report covers: • The many options – both old and new – for modernizing a data warehouse • New technologies, products, and practices to real-world use cases • How to extend the lifespan, range of uses, and value of existing data warehouses
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pentaho, data warehouse, modernization, big data, bug data analytics, best practices, networking, it management, wireless, platforms, data management
    
Pentaho
Published By: Success Factors     Published Date: Feb 22, 2012
Is your paper-based performance management process holding your company back? See for yourself how automating your outdated talent and performance management processes can transform your small business. Download your white paper now, compliments of SuccessFactors.
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employee performance, high performance culture, high performing workforce, smart goals, performance reviews, goal setting, performance management, business strategy, business execution, strategy execution, business strategy software, business results, talent management, learning management, recruiting management, workforce planning, workforce analytics, succession planning, compensation, core competencies
    
Success Factors
Published By: apperian     Published Date: Apr 13, 2012
You'll learn about the high-level software architectural options, the importance of design and user experience, application development tools and techniques, and best practices for deploying applications and managing iPads in the enterprise.
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apperian, technology, ipad, wireless communications, business applications, enterprise, business analytics, mobile data systems, wireless application software
    
apperian
Published By: Teradata     Published Date: Feb 26, 2013
Business Insights Using Hadoop with SQL Analytics. Harness the value of big data analytics -- This report discusses a unified data architecture solution providing valuable insight from new and existing data.
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power of analytics, harnessing the value of big data, business intelligence, teradata, unified data architecture, it management, data management, data center
    
Teradata
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, sales analytics, hr analytics, marketing analytics, financial analytics, supply chain analytics, automated data management, dashboards, infrastructure
    
Birst
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, sales analytics, hr analytics, marketing analytics, financial analytics, supply chain analytics, automated data management, dashboards, infrastructure
    
Birst
Published 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.
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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
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