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Published By: Aberdeen     Published Date: Jun 17, 2011
Download this paper to learn the top strategies leading executives are using to take full advantage of the insight they receive from their business intelligence (BI) systems - and turn that insight into a competitive weapon.
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aberdeen, michael lock, data-driven decisions, business intelligence, public sector, analytics, federal, state
    
Aberdeen
Published By: Corrigo     Published Date: Nov 01, 2019
Think about all the ways your life today is different than it was ten years ago. Think about how you shop, how you get around, how you plan travel, and how you stay in touch. So many things that used to be a hassle are now almost effortless. If your life feels different, it’s because you’re living in a new era – what experts are calling the 4th Industrial Revolution. You’ve probably heard some of the more catch-phrased components – big data, artificial intelligence, deep analytics. Some of these still seem like science fiction, but they are very real, very active, and crucial parts of what we at Corrigo call the Intelligence Economy. In the Intelligence Economy, data is collected, crunched, and activated to solve problems and create greater value for customers, partners, and employees. It’s the information, insights, and automations that enhance experiences, predict needs, strengthen connections, and deliver the right info or action at the right time, in the right way. And the Intellig
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Corrigo
Published By: Matrixx Software - Kingpin     Published Date: Nov 07, 2019
As 5G is becoming a commercial reality in multiple lead markets, the question of how it should be positioned, packaged and priced will be critical in building competitive 5G propositions. Download the Strategy Analytics report to discover the results from end-user study groups and operator interviews, undertaken to answer a fundamental question: Are Telcos getting 5G right? Learn: How to build a 5G proposition to drive uptake, demand and profitability What consumers want from 5G services Where the opportunities and challenges are for operators, including content, unlimited data, enterprise offerings, network slicing, digital engagement, IoT etc.
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Matrixx Software - Kingpin
Published By: KPMG     Published Date: Jun 10, 2019
Getting complex decisions right across complicated operational networks is the key to optimum performance. Find out how one of the UK’s biggest bus operators is using data and analytics to make better decisions and optimise the use of resources across their network. Read this story to discover: • how data and analytics can transform operational performance • the benefits of using decision-support tools in the middle office • key lessons for getting your plans for digital transformation right.
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KPMG
Published By: Oracle     Published Date: Sep 26, 2019
Data is the lifeblood of business success, but has been trapped in silos for too long. To unleash its value, analytics must transform from merely reporting on data to providing fuel for data-driven marketing.
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Oracle
Published By: TIBCO Software     Published Date: Jul 22, 2019
Today, you can improve product quality and gain better control of the entire manufacturing chain with data virtualization, machine learning, and advanced data analytics. With all relevant data aggregated, analyzed, and acted on, sensors, devices, people, and processes become part of a connected Smart Factory ecosystem providing: •? Increased uptime, reduced downtime •? Minimized surplus and defects •? Better yields •? Reduced cost due to better quality •? Fewer deviations and less non-conformance
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TIBCO Software
Published By: Group M_IBM Q4'19     Published Date: Sep 26, 2019
IBM has been named a Leader in Gartner's Magic Quadrant for Data & Analytics Services. According to the report, by 2022, 90% of corporate strategies are expected to view information as a critical enterprise asset, and analytics as an essential competency. Data and analytics service providers can help leaders accelerate and transform their ability to deliver data-driven insights and innovation solutions to businesses. Get complimentary access to Gartner's latest Magic Quadrant report for Data & Analytics Service Providers.
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Group M_IBM Q4'19
Published By: Infinidat EMEA     Published Date: May 14, 2019
Big Data and analytics workloads represent a new frontier for organizations. Data is being collected from sources that did not exist 10 years ago. Mobile phone data, machine-generated data, and website interaction data are all being collected and analyzed. In addition, as IT budgets are already under pressure, Big Data footprints are getting larger and posing a huge storage challenge. This paper provides information on the issues that Big Data applications pose for storage systems and how choosing the correct storage infrastructure can streamline and consolidate Big Data and analytics applications without breaking the bank.
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Infinidat EMEA
Published By: Infinidat EMEA     Published Date: Oct 10, 2019
I Big Data e gli analytics workloads sono la nuova frontiera per le aziende. I dati vengono raccolti da fonti che non esistevano 10 anni fa. Tutti i dati dei telefoni cellulari, i dati generati dalle macchine e i dati relativi all’interazione con i siti vengono raccolti e analizzati. Inoltre, con i budget IT sempre più sotto pressione, l’impatto ambientale dei Big Data non fa che aumentare e pone grandi sfi de per i sistemi storage. Questo documento fornisce informazioni sulle problematiche che le applicazioni dei Big Data pongono sullo storage e su come scegliere le più corrette infrastrutture per ottimizzare e consolidare le applicazioni dei Big Data e degli analytics, senza prosciugare le fi nanze.
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Infinidat EMEA
Published By: MicroStrategy     Published Date: Aug 21, 2019
Data and analytics are the key accelerants of digitalization, transformation and “ContinuousNext” efforts. As a result, data and analytics leaders will be counted upon to affect corporate strategy and value, change management, business ethics, and execution performance.
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MicroStrategy
Published By: MicroStrategy     Published Date: Nov 05, 2019
Organizations are embracing cloud-based solutions at an unprecedented rate. The transition to a cloud-first strategy is no longer viewed as a luxury but as a necessity for businesses to compete. According to a 2018 study, cloud computing will have the biggest impact on analytics initiatives, followed by big data, AI and machine learning, and IoT. Because today’s state-of-the-art solutions will likely be quickly outdated, organizations now want to invest in systems that can meet their changing needs. Attributes like flexibility and agility will allow these businesses to seamlessly tackle changing business requirements.
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MicroStrategy
Published By: MicroStrategy     Published Date: Nov 05, 2019
A&BI platforms are transitioning from delivering simple, manual self-service to supporting more advanced, automated analytic use cases via growing, augmented, ML-driven capabilities. Data and analytics leaders should enable broader use cases to increase their investments’ business impact
Tags : 
    
MicroStrategy
Published By: MicroStrategy     Published Date: Nov 06, 2019
For the second year, MicroStrategy has surveyed business intelligence and analytics decision makers from around the world about the current state of their organization’s analytics initiatives and their plans for the future. Respondents were asked about benefits realized, challenges to success, priorities, and investments—and most importantly, if current initiatives to create and deliver on a data-driven culture and business were moving forward. As in the previous year’s survey, respondents had no doubt about the importance of data and analytics when it came to digital transformation (see figure 1). Yet, this year’s analysis uncovered that, as the reality of 2020 and a new decade of accelerated innovation set in, a smaller set of leaders were confident in their progress to date.
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MicroStrategy
Published By: MicroStrategy     Published Date: Nov 08, 2019
The use of analytics has exploded across business, and the value it already has delivered has heightened executives' expectations. Now data can be processed in real time to meet a constantly widening range of analytic needs. How your organization utilizes them in the next decade will be essential to your success. These developments come at an opportune time. Organizations are being over-whelmed by the rivers of data generated by applications and systems on-premises or flowing in via the cloud. At the same time, the cost of computational power has declined dramatically, making it practical to apply analytics and generate information on just about anything. But no advance comes without challenges. While the widespread availability of analytics has created seemingly valuable insights, executives and managers are finding that those insights are not easily linked to steps that will improve business outcomes or optimize actions. So the challenge is to make analytics impactful in eve
Tags : 
    
MicroStrategy
Published By: MicroStrategy     Published Date: Nov 08, 2019
Today, despite massive investments in data, IT infrastructure, and analytics software, the adoption of analytics continues to lag behind. In fact, according to Gartner, most organizations fail to hit the 30% mark—meaning more than 70% of people at most organizations are going without access to the critical information needed to perform to the best of their abilities. What’s stopping organizations from breaking through the 30% barrier and driving the pervasive adoption of intelligence? Simple. The majority of existing tools only cater to users who are analytically inclined—the analysts, data scientists, and architects of the world. The other 70%—the people making the operational decisions daily within a business—simply lack the time, skill, or desire to seek out data and intelligence on their own. HyperIntelligenceTM helps organizations operationalize their existing investments and arm everyone across the organization with intelligence. Whether it’s a salesperson looking to close a
Tags : 
    
MicroStrategy
Published By: MicroStrategy     Published Date: Nov 08, 2019
Gartner’s annual Predicts report is out for 2019—and it includes recommended solutions to issues like incorporating analytics into corporate strategy, measuring the value of data assets, the rapidly increasing volume of data, the lack of data literacy, and more. Some of the valuable findings include: Today, fewer than 50% of documented corporate strategies mention data and analytics as key components for delivering enterprise value, per Gartner’s “How Infosavvy Are You? Study." Organizations that fail to develop and enforce such codes of conduct are at a greater risk of liability and misuse of data science and AI. Few organizations have implemented continuous intelligence capabilities, spanning multiple applications and business functions, because they lack the relevant skills.
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MicroStrategy
Published By: MicroStrategy     Published Date: Nov 08, 2019
In today’s rapidly changing technology landscape, it’s critical for organizations to invest in systems that can keep up with changing needs. Cloud technology is rising to the occasion because it provides a cost-effective way to deploy flexible analytics solutions--with little capital investment. If your organization is considering a move to the cloud, be sure to read this whitepaper for an in-depth analysis of how it can help accelerate your business. The paper covers key considerations around: Time to value: deploying applications faster than ever Elasticity: scaling data and users with ease Flexibility: rapidly adapt to changing requirements Security: adhere to key compliances and certifications and secure data at every level Total cost of ownership: realize significant savings from migrating to the cloud
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MicroStrategy
Published By: MicroStrategy     Published Date: Nov 08, 2019
Gartner’s annual Predicts report is out for 2019—and it includes recommended solutions to issues like incorporating analytics into corporate strategy, measuring the value of data assets, the rapidly increasing volume of data, the lack of data literacy, and more. Some of the valuable findings include: Today, fewer than 50% of documented corporate strategies mention data and analytics as key components for delivering enterprise value, per Gartner’s “How Infosavvy Are You? Study." Organizations that fail to develop and enforce such codes of conduct are at a greater risk of liability and misuse of data science and AI Few organizations have implemented continuous intelligence capabilities, spanning multiple applications and business functions, because they lack the relevant skills. Read the report for a full list of enterprise challenges and tips on how to address them.
Tags : 
    
MicroStrategy
Published By: MicroStrategy     Published Date: Nov 08, 2019
A&BI platforms are transitioning from delivering simple, manual self-service to supporting more advanced, automated analytic use cases via growing, augmented, ML-driven capabilities. Data and analytics leaders should enable broader use cases to increase their investments’ business impact. Analytics and business intelligence (A&BI) platforms exhibit differences in functional capabilities, particularly in their support for advanced analytics, data source connectivity and embedded functionality. As the market matures, the capabilities required to build and deliver user-friendly analytics dashboards are the least differentiated. The trend toward assisting users with augmented data discovery functionality continues, but many products still lack enough support for this critical capability. When viewed across the whole span of capabilities, significant differences remain between competing platforms and, therefore, also between which are most appropriate for a given use case. In some cases, th
Tags : 
    
MicroStrategy
Published By: MicroStrategy     Published Date: Nov 08, 2019
In today’s rapidly changing technology landscape, it’s critical for organizations to invest in systems that can keep up with changing needs. Cloud technology is rising to the occasion because it provides a cost-effective way to deploy flexible analytics solutions--with little capital investment. If your organization is considering a move to the cloud, be sure to read this whitepaper for an in-depth analysis of how it can help accelerate your business. The paper covers key considerations around: Time to value: deploying applications faster than ever Elasticity: scaling data and users with ease Flexibility: rapidly adapt to changing requirements Security: adhere to key compliances and certifications and secure data at every level Total cost of ownership: realize significant savings from migrating to the cloud
Tags : 
    
MicroStrategy
Published By: MicroStrategy     Published Date: Nov 08, 2019
In today’s rapidly changing technology landscape, it’s critical for organizations to invest in systems that can keep up with changing needs. Cloud technology is rising to the occasion because it provides a cost-effective way to deploy flexible analytics solutions--with little capital investment. If your organization is considering a move to the cloud, be sure to read this whitepaper for an in-depth analysis of how it can help accelerate your business. The paper covers key considerations around: Time to value: deploying applications faster than ever Elasticity: scaling data and users with ease Flexibility: rapidly adapt to changing requirements Security: adhere to key compliances and certifications and secure data at every level Total cost of ownership: realize significant savings from migrating to the cloud
Tags : 
    
MicroStrategy
Published By: MicroStrategy     Published Date: Nov 08, 2019
Gartner’s annual Predicts report is out for 2019—and it includes recommended solutions to issues like incorporating analytics into corporate strategy, measuring the value of data assets, the rapidly increasing volume of data, the lack of data literacy, and more. Some of the valuable findings include: Today, fewer than 50% of documented corporate strategies mention data and analytics as key components for delivering enterprise value, per Gartner’s “How Infosavvy Are You? Study." Organizations that fail to develop and enforce such codes of conduct are at a greater risk of liability and misuse of data science and AI. Few organizations have implemented continuous intelligence capabilities, spanning multiple applications and business functions, because they lack the relevant skills.
Tags : 
    
MicroStrategy
Published By: MicroStrategy     Published Date: Nov 08, 2019
Today, despite massive investments in data, IT infrastructure, and analytics software, the adoption of analytics continues to lag behind. In fact, according to Gartner, most organizations fail to hit the 30% mark—meaning more than 70% of people at most organizations are going without access to the critical information needed to perform to the best of their abilities. What’s stopping organizations from breaking through the 30% barrier and driving the pervasive adoption of intelligence? Simple. The majority of existing tools only cater to users who are analytically inclined—the analysts, data scientists, and architects of the world. The other 70%—the people making the operational decisions daily within a business—simply lack the time, skill, or desire to seek out data and intelligence on their own. HyperIntelligenceTM helps organizations operationalize their existing investments and arm everyone across the organization with intelligence. Whether it’s a salesperson looking to close a
Tags : 
    
MicroStrategy
Published By: MicroStrategy     Published Date: Nov 08, 2019
The use of analytics has exploded across business, and the value it already has delivered has heightened executives' expectations. Now data can be processed in real time to meet a constantly widening range of analytic needs. How your organization utilizes them in the next decade will be essential to your success. These developments come at an opportune time. Organizations are being over-whelmed by the rivers of data generated by applications and systems on-premises or flowing in via the cloud. At the same time, the cost of computational power has declined dramatically, making it practical to apply analytics and generate information on just about anything. But no advance comes without challenges. While the widespread availability of analytics has created seemingly valuable insights, executives and managers are finding that those insights are not easily linked to steps that will improve business outcomes or optimize actions. So the challenge is to make analytics impactful in eve
Tags : 
    
MicroStrategy
Published By: MicroStrategy     Published Date: Nov 08, 2019
For the second year, MicroStrategy has surveyed business intelligence and analytics decision makers from around the world about the current state of their organization’s analytics initiatives and their plans for the future. Respondents were asked about benefits realized, challenges to success, priorities, and investments—and most importantly, if current initiatives to create and deliver on a data-driven culture and business were moving forward. As in the previous year’s survey, respondents had no doubt about the importance of data and analytics when it came to digital transformation. Yet, this year’s analysis uncovered that, as the reality of 2020 and a new decade of accelerated innovation set in, a smaller set of leaders were confident in their progress to date.
Tags : 
    
MicroStrategy
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