analytics organizations

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Get the most from your AI investment by operationalizing analytics

Published By: SAS     Published Date: Nov 08, 2019
Organizations realize they need analytics to run, grow, and differentiate their products and services. More than just driving strategic decision making, they need to incorporate analytics into their high-volume operational and transactional decisions every minute of every day. This means that analytics is no longer just the responsibility of the data science team. Organizations have to continuously deliver analytics into operational systems in a systemic, high-quality and dependable way.
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SAS

The Last (And Arguably Most Important) Mile of Machine Learning: Operationalizing Analytical Models

Published By: SAS     Published Date: Nov 08, 2019
As organizations continue to adopt predictive analytics, many are struggling to make it stick. Challenges include skills, executive and organizational support, and data infrastructure issues. Many organizations have not considered how to practically put analytics to work, given the organizational, technology, process, and deployment issues they face. Addressing these issues involves a combination of traditional and new technologies and practices. Some practical considerations highlighted in this report include: Model Development, Infrastructure and Operational Process.
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SAS

The 2020 Vision: The Next Decade for Enterprise Analytics

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
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MicroStrategy

7 Hypercard Use Cases For The Intelligent Enterprise

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
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MicroStrategy

Sentiment Continues to Climb Among Users as BI Tools Migrate to Cloud

Published By: MicroStrategy     Published Date: Nov 08, 2019
The adoption of cloud BI and analytics is reaching a tipping point. According to the new report from Dresner Advisory Services, there are now more cloud-based deployment options than on-prem offerings available. To learn more about the rising tide of cloud BI, and how sentiment is changing around these offerings, read this new research report based on a 2019 market study. The report covers: A summary of the current cloud BI and analytics landscape An overview of changing user sentiment in the market How organizations are planning to deploy public, private, or hybrid cloud models Read the report for a full list of enterprise challenges and tips on how to address them.
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MicroStrategy

Predicts 2019: Data and Analytics Strategy

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

Predicts 2019: Data and Analytics Strategy

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.
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MicroStrategy

7 Data Visualizations You’re Not Using Enough

Published By: MicroStrategy     Published Date: Nov 08, 2019
A picture is worth a thousand words But in the case of dashboards, pictures can quickly translate into thousands of dollars. Information is arguably better absorbed through vivid visualizations as opposed to monotonous grids, as visualizations can address the scope and dimensions of underlying data in a succinct and digestible format. Businesses today rely on a myriad of charts and graphs that go beyond the traditional bars, pies, and gauges to convey information. Modern visualizations have pushed analytics to new levels, and organizations can publish information in unique, highly visual representations. Open source libraries including D3, Google Charts, and Highcharts have presented creative options for business analysts wanting to design intuitive dashboards that convey complex information effectively to enable quick decision making. If the charts and graphs you currently use aren’t cutting it, here are seven visualizations that can bring new meaning and purpose to your dashboards
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MicroStrategy

Predicts 2019: Data and Analytics Strategy

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

Sentiment Continues to Climb Among Users as BI Tools Migrate to Cloud

Published By: MicroStrategy     Published Date: Nov 08, 2019
The adoption of cloud BI and analytics is reaching a tipping point. According to the new report from Dresner Advisory Services, there are now more cloud-based deployment options than on-prem offerings available. To learn more about the rising tide of cloud BI, and how sentiment is changing around these offerings, read this new research report based on a 2019 market study. The report covers: A summary of the current cloud BI and analytics landscape An overview of changing user sentiment in the market How organizations are planning to deploy public, private, or hybrid cloud models Read the report for a full list of enterprise challenges and tips on how to address them.
Tags : 
    
MicroStrategy

7 Hypercard Use Cases For The Intelligent Enterprise

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

The 2020 Vision: The Next Decade for Enterprise Analytics

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

Accelerate Your Business With Cloud Analytics

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

The 20 Attributes that lead to business success

Published By: Adobe     Published Date: Sep 23, 2019
Why data-driven businesses stand out from the crowd. Why Should the Target Audience Care? Enterprises need to become more data-driven by using more mature analytics tools to stand out from the crowd Supporting Concepts Smart, effective customer analytics tools helps organizations reap the rewards of increased customer satisfaction and brand loyalty. Neglecting advances in customer analytics technology could seriously impact a company's ability to compete in the future marketplace. Where do your customers and prospects sit on the customer analyticsmaturity scale? Are they leaders or are they laggards? Read "Customer Analytics: The 20 Attributes that Lead to Business Success" for insights into: • the key drivers needed within an organisation that help grow customer analytics maturity • why companies using paid analytics solutions experience more tangible benefits than those using free analytics • how to distinguish customer analytics leaders from laggards
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Adobe

Refactoring Analytics for the Cloud

Published By: SAS     Published Date: Sep 05, 2019
Organizations are charging ahead with investments in cloud and analytics to deliver agility, scalability and cost savings. With computing power advancements and continuous growth of data, cloud provides the elastic workloads and flexibility required for modern business. However, the environment of flexibility and choice that cloud provides also creates complexity and challenges. In this white paper, learn how organizations are applying expertise and using the latest methods to move analytics to the cloud, including: • Why are organizations moving analytic work to the cloud? • What are the key challenges and misconceptions? • How do IT leaders provide choice while maintaining control?
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SAS

Vanson Bourne - Global Data Protection Index III

Published By: Dell EMC Storage     Published Date: Sep 03, 2019
The digital era is changing the way that organizations think about, protect, and monetize data. Now more than ever they are pushing to be digitally-driven, and to achieve this they must be data-driven. Data powers everything in modern organizations; analytics, digital experiences, IoT, and artificial intelligence are notable examples. All are essential to organizations that want to succeed in a digitally transformed world, but they simply cannot function without data. This is driving the shift from data as a static digital asset to data as a strategic business asset.
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Dell EMC Storage

ESG Brief: The Importance of a Common Distributed Data Services Layer

Published By: Gigamon     Published Date: Sep 03, 2019
The IT pendulum is swinging to distributed computing environments, network perimeters are dissolving, and compute is being distributed across various parts of organizations’ infrastructure—including, at times, their extended ecosystem. As a result, organizations need to ensure the appropriate levels of visibility and security at these remote locations, without dramatically increasing staff or tools. They need to invest in solutions that can scale to provide increased coverage and visibility, but that also ensure efficient use of resources. By implementing a common distributed data services layer as part of a comprehensive security operations and analytics platform architecture (SOAPA) and network operations architecture, organizations can reduce costs, mitigate risks, and improve operational efficiency.
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Gigamon

MicroStrategy 2019 Whitepaper

Published By: MicroStrategy     Published Date: Aug 28, 2019
Over the last decade, the enterprise analytics landscape has dramatically transformed. Vendors have come and gone, and platforms have continually expanded their offerings to include new functionality and keep pace with the demands of the businesses they serve. Originally envisioned as an IT-centric tool for enterprise reporting, analytics today has evolved into a business solution—empowering a range of users across every line of business, including front-line employees, field personnel, and executives. The rise of self-service analytics over the past decade has played a key role in promoting a data-driven mindset within every business function. However, this practice is limited to a skilled few. The vast majority of business professionals lack the time, analytical skills, or inclination to conduct their own analyses, and fail to effectively use analytics on a day-to-day basis. The result? Despite decades of investments, BI adoption at most organizations remains at 30%. The failure of e
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MicroStrategy

7 Hypercard Use Cases For The Intelligent Enterprise

Published By: MicroStrategy     Published Date: Aug 28, 2019
Why HyperIntelligence? 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. That means that more than 70% of people at most organizations are going without access to the critical information they need 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 naturally 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. HyperIntelligence helps organizations operationalize their existing investments and arm everyone across the organization with intelligence. Whether
Tags : 
    
MicroStrategy

10 ENTERPRISE ANALYTICS TRENDS TO WATCH IN 2019

Published By: MicroStrategy     Published Date: Aug 21, 2019
To survive and thrive in an era of accelerating digital disruption, organizations require accessible data, actionable insights, continuous innovation, and disruptive business models. It’s no longer enough to prioritize and implement analytics – leaders are being challenged to stop doing analytics just for analytics’ sake and focus on defined business outcomes. In addition, these leaders are being challenged to bring predictive capabilities and even prescriptive recommended actions into production at scale. As AI and accelerated growth and transformation become top of mind, many enterprises are realizing that their current segmented analytics approach isn’t built to last, and that real transformation will require proper endto- end data management, data security, and a data processing platform company-wide. The year 2019 will be a turning point for many organizations that realize being data-driven doesn’t guarantee future success.
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MicroStrategy

Analytics in Action in the Health and Life Sciences Ecosystem

Published By: SAS     Published Date: Aug 19, 2019
With the combination of electronic health records, rich repositories of claims data, medical device outputs, laboratory and prescription systems, real-world data and the data mined from other information technology systems, the health and life sciences ecosystem can now gain new perspective. Download this complimentary paper to learn more about how health care data has the power to transform the sector, helping to address the industry’s biggest challenges surrounding costs and quality of patient care. By adopting solutions that allow them to both produce and consume data analytics insights in a way that better guides clinical and business strategies, innovative health care organizations can learn not only to survive but also thrive in the decades to come.
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SAS

Vanson Bourne - Global Data Protection Index III

Published By: Dell EMC Storage     Published Date: Aug 15, 2019
The digital era is changing the way that organizations think about, protect, and monetize data. Now more than ever they are pushing to be digitally-driven, and to achieve this they must be data-driven. Data powers everything in modern organizations; analytics, digital experiences, IoT, and artificial intelligence are notable examples. All are essential to organizations that want to succeed in a digitally transformed world, but they simply cannot function without data. This is driving the shift from data as a static digital asset to data as a strategic business asset.
Tags : 
    
Dell EMC Storage

Risk Adjustment in Health Care Government Programs

Published By: SAS     Published Date: Aug 06, 2019
Under risk adjustment, health plans with a lower average risk score make payments into the system or miss out on revenue opportunities, while plans with relatively high average risk scores receive payments. So it’s critical for a plan to get this analysis right – or forfeit revenue it deserves. With advanced analytics and machine learning, health care organizations can be more timely and confident in their risk adjustment programs, more effectively managing the cost of care and building a stable annual financial portfolio.
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SAS

Analytics in Action in the Health and Life Sciences Ecosystem

Published By: SAS     Published Date: Aug 06, 2019
With the combination of electronic health records, rich repositories of claims data, medical device outputs, laboratory and prescription systems, real-world data and the data mined from other information technology systems, the health and life sciences ecosystem can now gain new perspective. Download this complimentary paper to learn more about how health care data has the power to transform the sector, helping to address the industry’s biggest challenges surrounding costs and quality of patient care. By adopting solutions that allow them to both produce and consume data analytics insights in a way that better guides clinical and business strategies, innovative health care organizations can learn not only to survive but also thrive in the decades to come.
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SAS

Institutionalizing Real-World Evidence Whitepaper

Published By: SAS     Published Date: Jun 27, 2019
In the quest to understand how a therapeutic intervention performs in actual use – in real medical practice outside the controlled environment of clinical trials – many life sciences organizations are stymied. They rely on one-off processes, disconnected tools, costly and redundant data stores, and ad hoc discovery methods. It’s time to standardize real-world data and analytics platforms – to establish much-needed consistency, governance, repeatability, sharing and reuse. The organizations that achieve these goals will formalize their knowledge base and make it scalable, while significantly reducing turnaround times, resources and cost. Learn the seven key components for putting that structure to real-world evidence – and four ways to take it to the next level.
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SAS
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