data analytics

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Published By: SAS     Published Date: Aug 03, 2016
New analytics tools and services are helping organizations extract exceptional business value from the massive volumes of available data provided by various internal and external sources. Many companies are harnessing these insights to improve operational and business processes, troubleshoot problems, identify business opportunities, and generally compete and innovate better. Now the benefits of analytics in those areas are prompting companies to look to analytics to improve information security. Enterprise security organizations are under tremendous pressure to change. Traditional perimeter-focused security controls and strategies have proved inadequate against modern, highly targeted attack campaigns.
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best practices, technology, security, enterprise, analytics
    
SAS
Published By: SAS     Published Date: Aug 03, 2016
On an average day, 78 Americans die from opioid overdose. Last year’s total was almost 30,000 deaths, roughly two-thirds involving prescription opioids (including Percocet, Vicodin, Hydrocodone, Oxycodone, Oxycontin), the rest involving heroin. The United States, with about 5 percent of the global population, consumes 80 percent of the prescription opioids. The problem affects people of all backgrounds and across the socioeconomic spectrum; the Center for Disease Control (CDC) has officially declared it an epidemic.
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best practices, data, technology, analytics
    
SAS
Published By: SAS     Published Date: Aug 03, 2016
Whether you call them customers, clients, patrons, guests or patients, customers are your organization’s most important asset. And that means customer loyalty should be among your top priorities. No matter when or where the customer journey begins – from websites and online chat to physical locations and call centers – customers expect you to provide a unique and personal experience. How can you use data and analytics to recognize your best customers across channels and know exactly where they are in their customer journey? Keep reading to find out.
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best practices, business management, customer loyalty, technology, data, analytics
    
SAS
Published By: SAS     Published Date: Aug 03, 2016
As the pace of business continues to accelerate, forward-looking organizations are beginning to realize that it is not enough to analyze their data; they must also take action on it. To do this, more businesses are beginning to systematically operationalize their analytics as part of a business process. Operationalizing and embedding analytics is about integrating actionable insights into systems and business processes used to make decisions. These systems might be automated or provide manual, actionable insights. Analytics are currently being embedded into dashboards, applications, devices, systems, and databases. Examples run from simple to complex and organizations are at different stages of operational deployment.
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best practices, embedding analytics, technology, data, operational analytics
    
SAS
Published By: SAS     Published Date: Apr 20, 2017
Enterprises routinely claim to be focused on the customer experience, yet few really keep that promise. What’s in the way? Fragmentation and complexity in both customer data and customer-facing processes. IIA spoke with Wilson Raj, Global Director of Customer Intelligence, and Jonathan Moran, Customer Intelligence Product Marketing at SAS Institute Inc. about how organizations can leverage technology platforms and analytics to become more completely and genuinely customer-centric – making connections in the right way, at the right time, and on the right device.
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SAS
Published By: SAS     Published Date: Apr 20, 2017
With more data in the hands of more people – and easier access to easy-to-use analytics – conversations about data and results from data analysis are happening more often. And becoming more important. And expected. So it’s not surprising that improved collaboration is one of the most common organizational goals. Let’s take a look at how you can use results produced by SAS Visual Analytics with Microsoft Office applications. You’ll see how easy it is to combine sophisticated analytic visualizations and reports with Microsoft’s widely used productivity tools – to share insights, improve collaboration and drive increased adoption of analytics and BI across your organization.
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SAS
Published By: SAS     Published Date: Mar 06, 2018
Location data is found everywhere – with an item or a device, in a conversation or behavior, in machines or sensors, tied to a customer or competitor, attached to a database record or recorded from vehicles or other moving objects. Organizations want to take advantage of location data to improve decisions, create better customer engagement and experiences, reduce risks and automate business processes.
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SAS
Published By: SAS     Published Date: Mar 06, 2018
The Connected Customer is an individual who is intimately connected to the data, outcomes, decisions, and staff associated with any relationship to an organization. This intensely personal connection is not just a matter of the most recent transaction, but represents a combination of connected data, connected analytics, and collaborative decisions associated with improving the customer’s relationship with the organization over time. In this report, Blue Hill explores the key traits associated with supporting the Connected Customer through the Internet of Things, and provides guidance on why the Internet of Things will be essential across the general business landscape
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SAS
Published By: SAS     Published Date: Jun 08, 2018
Download Webinar
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SAS
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
Published By: Pentaho     Published Date: Aug 22, 2016
This white paper covers the many options available for modernizing a data warehouse.
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big data, data integration, bi systems, hadoop
    
Pentaho
Published By: MicroStrategy     Published Date: Apr 11, 2019
A&BI platforms are evolving beyond data visualization and dashboards to encompass augmented and advanced analytics. Data and analytics leaders should enable a broader set of users with new expanded capabilities to increase the business impact of their investments.
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MicroStrategy
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
Published By: MicroStrategy     Published Date: Aug 21, 2019
Ready or not, the future is here. For enterprise organizations, it must be a data-driven one. Whoever can use technology to transform the customer experience, and be the first to discover and deliver on new business models, will be the disruptor. Those who can’t, the disrupted in this period known as the “era of Digital Darwinism.” The future belongs to the Intelligent Enterprise which anticipates constantly evolving regulatory, technological, market, and competitive challenges and turns them into opportunity and profit. It delivers a single version of the truth and agility. It connects to any data and distributes reports to thousands. The Intelligent Enterprise goes beyond business intelligence, delivering transformative insight to every user, constituent and partner. Are most organizations there yet? As brands hone and focus their 2020 (and even 2030) vision, MicroStrategy has surveyed 500 enterprise analytics professionals on the state of their organization’s analytics initiatives.
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MicroStrategy
Published By: Impetus Infotech     Published Date: Apr 05, 2011
This White Paper discusses the challenges companies may face while moving to big data solutions such as Hadoop and/or NoSQL.
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hadoop, nosql implementation strategy, hadoop implementation, apache hadoop, data analytics, nosql, nosql databases, what is nosql
    
Impetus Infotech
Published By: IBM     Published Date: Jul 24, 2012
Detect and prevent fraud by finding subtle patterns and associations in your data. IBM SPSS predictive analytics solutions have proved to be very effective at helping tax collection agencies to maximize revenues by detecting non-compliance more efficiently and by focusing investigations on cases that are likely to yield the biggest tax adjustments.
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fraud, business, healthcare, taxes, government, ibm, spss
    
IBM
Published By: IBM     Published Date: Dec 10, 2012
Read this white paper to unlocking the power of unstructured data. In many cases, unstructured text remains the best option for providers to capture the depth of detail required. Read on to see how unstructured health can provide reasons for decisions
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ibm, healthcare, unstructured data, analytics, contextual, organization, information technology, practice management
    
IBM
Published By: Adobe     Published Date: Jan 31, 2013
In this Adobe white paper, How to Create a Data-driven Dynasty, Brent Dykes identifies the key areas executives should focus on to generate a greater return on their digital analytics investment.
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digital analytics, roi, increasing roi, digital governance, digital strategy
    
Adobe
Published By: Adobe     Published Date: Aug 22, 2013
Some people want more "likes" because their goal is increased awareness. Others may struggle with losing customers and want improved customer service to reduce churn rates. Whichever challenge your strategy is trying to solve, you will find only a short-term solution if you deal with each challenge in isolation. What you need is an integrated approach that puts social media at the heart of your business as a solid foundation for long-term growth.
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customer experience management, social media data, web trends and analytics
    
Adobe
Published By: Verint     Published Date: Apr 18, 2013
The vision for Celent’s Model Bank research was to try to answer an apparently simple question: “What would it look like for a bank to do everything right with today’s technology?” Of course, the question is not nearly as simple as it appears. The terms “everything” and “right” will mean very different things to different banks depending on their size, the complexity of their operations and product sets, and their technological starting points. While there is no such thing as a “Model Bank”—every bank does some things well, and others not as well when it comes to technology—it is possible to conceive of a “Model Bank” through real world examples of effective usage of technology.
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banking, big data, technology, financial, effective use, analytics
    
Verint
Published By: Verint     Published Date: Apr 24, 2013
Commonwealth Bank of Australia, with over 1,000 branches and 50,000 employees was using spreadsheets to staff its branch network. When they looked to desktop process analytics from Verint they achieved major improvements in productivity and customer experience. Watch this case study to learn more about how desktop process analytics can use big data to help your organization.
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case study, big data, organization, desktop process analytics, process management, analytics, workforce management
    
Verint
Published By: IBM     Published Date: Oct 10, 2013
The growth of cloud, mobility, social business and big data mean that botnets, credit card theft, cyber criminals and other external threats pose increasing risk to business continuity, financial stability and brand reputation. Read the white paper, “Preventing security risks in real time,” to learn how this new reality is forcing the evolution of organizations’ defenses to become more intelligent—using global analytics to scale visibility across broad data sets, both diverse and complementary, in real time.
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cloud, mobility, social business, big data, external threats, business risks, business continuity, financial stability
    
IBM
Published By: Oracle     Published Date: Nov 05, 2013
As social media use has grown, an urgent need has emerged to correlate the information generated through social data with existing consumer information, and integrate it with sophisticated data management systems. This white paper describes how organizations can blend social insights with more-traditional data in an integrated customer data hub to optimize social strategies and create outreach efforts, new products, and campaigns grounded in real-time, repeatable, automated, and scalable analysis.
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business intelligence, integrated marketing, social media strategy, content marketing, insight, social data, customer hub, social analytics
    
Oracle
Published By: Oracle     Published Date: Nov 14, 2016
Démo Data Visualization dans le domaine de la vente par Sylvain Fortier, Business Intelligence & Big Data Analytics Principal Sales Consultant d'Oracle France durant la matinée Oracle Cloud Café autour du thème de la Data Visualization et Analytics.
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Oracle
Published By: Oracle     Published Date: Nov 14, 2016
Démo Data Visualization dans le domaine de la vente par Sylvain Fortier, Business Intelligence & Big Data Analytics Principal Sales Consultant d'Oracle France durant la matinée Oracle Cloud Café autour du thème de la Data Visualization et Analytics.
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Oracle
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