data and analytics

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Published By: SAS     Published Date: Mar 06, 2018
The 2016 ACFE Report to the Nations on Occupational Fraud and Abuse analyzed 2,410 occupational fraud cases that caused a total loss of more than $6.3 billion.8 Victim organizations that lacked anti-fraud controls suffered double the amount of median losses. SAS’ unique, hybrid approach to insider threat deterrence – which combines traditional detection methods and investigative methodologies with behavioral analysis – enables complete, continuous monitoring. As a result, government agencies and companies can take pre-emptive action before damaging incidents occur. Equally important, SAS solutions are powerful yet simple to use, reducing the need to hire a cadre of high-end data modelers and analytics specialists. Automation of data integration and analytics processing makes it easy to deploy into daily operations.
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SAS
Published By: SAS     Published Date: Mar 06, 2018
The Internet of Things enables retailers to do three basics better and faster: 1) Sensing who customers are and what they’re doing, 2) Understanding customer behavior and preferences, and 3)Acting on that insight to create a more engaging customer experience. - There are high-potential IoT applications in supply chain, in “smart store” operations, and especially in providing an engaging experience to the “connected customer.” IoT data can anticipate where the customer is headed and how to meet her there. - Much of the IoT ground, in both data management and analytics, may be unfamiliar. Retailers and their IT organizations have to be realistic about the technological challenges, their own capabilities, and where they need assistance. - To differentiate through IoT, focus on the analytics. Devices and their data — and even their platforms — are commodities. Advantage goes to the retailer who does the most with the data to engage the connected customer.
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SAS
Published By: SAS     Published Date: Apr 04, 2018
Location analytics is the process of integrating geographical data into business intelligence (BI) and analytics-led decision making. Location analytics creates meaningful insight from relationships found in geospatial data to solve a broad variety of business and social problems. 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: Apr 04, 2018
Opioid use grabs headlines when important celebrities overdose. Prince is sadly the most recent. But the problem is persistent and pervasive. The marginally good news is that the number of opioid prescriptions written started to decline last year. Overdose deaths, however, continued to rise. Also in the news have been lawsuits against pharmaceutical companies and distributors for helping to create the astounding oversupply of opioids, but the root causes go deeper. Physicians and their patients, medical policy makers and licensing boards, pharma companies and pharmacies all have played roles. And all must work together to stem the opioid epidemic and achieve the fundamental objectives of reducing addiction and deaths.
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SAS
Published By: SAS     Published Date: Jun 06, 2018
Today’s consumers expect immediate, personalized interactions. To meet these expectations, companies must differentiate their brands through timely, targeted and tailored customer experiences based on real-time data analytics. This report, sponsored by SAS, Intel and Accenture and conducted by Harvard Business Review Analytic Services, looks at how businesses are using advanced customer data analytics, along with real-time analytics and real-time marketing, to enhance their customers’ experiences. Learn why organizations that place a high value on real-time capabilities still struggle to achieve them, what companies can do to ensure success as they adopt and implement real-time analytics solutions, and what benefits successful companies are already seeing.
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SAS
Published By: SAS     Published Date: Jun 06, 2018
A multitude of “things” generate floods of big data – cars, wearables, machines and appliances. Wouldn’t you like to sift through that noise and become an organization that relies on data to make fact-based decisions? Learn about the three foundations of becoming data-driven – data management, analytics and visualization – and how they can increase profitability, boost performance, raise market share and improve operations. Read about hurdles to becoming a data-driven organization and learn best practices from others. Then get a glimpse of what the future holds with the Internet of Things (IoT), edge analytics, artificial intelligence (AI) and other technology innovations.
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SAS
Published By: SAS     Published Date: Mar 01, 2012
This Aberdeen Research Brief draws on three discrete data sets in order to understand the tangible business impact of effective analytics in the SMB market.
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it management
    
SAS
Published By: SAS     Published Date: Mar 01, 2012
Learn what criteria distinguished certain companies as top performers within the SMB sector, the factors to consider when assessing your organization's BI competency and the required actions to achieve best-in-class performance.
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sas, analytics, business analytics, business intelligence, customer intelligence, data management, fraud & financial crimes, high-performance analytics, it management, ondemand solutions, performance management, risk management, sas® 9.3, supply chain intelligence, sustainability management, business intelligence, michael lock, predictive analytics, business insight, business visibility
    
SAS
Published By: SAS     Published Date: Mar 01, 2012
How does an organization make the best use of data, and what is the proper role of IT? This paper describes how organizations can foster a culture of data analytics that promotes cooperation and collaboration between IT and business.
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sas, analytics, business analytics, business intelligence, customer intelligence, data management, fraud & financial crimes, high-performance analytics, it management, ondemand solutions, performance management, risk management, sas® 9.3, supply chain intelligence, sustainability management
    
SAS
Published By: SAS     Published Date: Mar 19, 2013
Download this whitepaper to learn more about how you can quickly make informed decisions based on massive amounts of data.
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big data, visualization, interactive, data, data visualization
    
SAS
Published By: SAS     Published Date: Mar 14, 2014
This Q&A with Tom Davenport, Director of Research for the International Institute for Analytics (IIA), will help you understand how analytics is evolving, where you need to go, and how to get there.
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sas, data categorization, retrieval and quality, data visualization, data governance program, data management, data quality, business objectives, quality data, accuracy, lineage, structural consistency, relevant metrics, analytics, analytical study, visualization deployment, deployment, institute for analytics
    
SAS
Published By: SAS     Published Date: Mar 14, 2014
This paper explores the challenges organizations have today in implementing a data governance program via an actual business case. It highlights SAS technology that can help you solve many of those challenges.
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sas, data categorization, retrieval and quality, data visualization, data governance program, data management, data quality, business objectives, quality data, accuracy, lineage, structural consistency, relevant metrics, business relevance, visualization deployment, deployment, institute for analytics, data center
    
SAS
Published By: SAS     Published Date: Mar 14, 2014
There is a continuing disconnect between lT and lines of business with regard to analytics. While IT sees itself contributing to and guiding analytics strategy, LOB is more likely to see it as a roadblock. But the nature of analytics is changing, presenting a new, unique role for the CIO.
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sas, cio, idc, lob, it organization, analytic's value, data integrator, disconnect, analytic strategy, data management, data center
    
SAS
Published By: SAS     Published Date: Mar 14, 2014
In this study, we identified many ways that IT is perceived to be a roadblock to a successful analytics strategy and a number of disconnects between how IT and lines of business view IT’s role.
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sas, data strategy, idc, productive collaboration, analytic's strategy, counterparts, support, data management, data center
    
SAS
Published By: SAS     Published Date: Mar 14, 2014
This report examines how data visualization can help organizations unleash the full value of information, and outlines key considerations to guide the solution evaluation process.
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sas, data categorization, retrieval and quality, data visualization, data governance program, data management, data quality, business objectives, quality data, accuracy, lineage, structural consistency, relevant metrics, business relevance, visualization deployment, deployment, institute for analytics, data center
    
SAS
Published By: SAS     Published Date: Mar 14, 2014
Managing expectations before, during and after the adoption of visualization software is crucial. Users should know what the rollout process will look like and how it will take place, and have clear goals for using the tool. Make sure that the desired outcome isn’t just look-and-feel. Creating beautiful charts and graphs is not a substitute for practical business decisions.
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sas, data categorization, retrieval and quality, data visualization, data governance program, data management, data quality, business objectives, quality data, accuracy, lineage, structural consistency, relevant metrics, business relevance, visualization deployment, deployment, institute for analytics, data center
    
SAS
Published By: SAS     Published Date: Mar 14, 2014
This paper will discuss the barriers to data-driven decision making for midsized businesses, and how experts and non-experts alike can use SAS Visual Analytics to unlock the value of data – including big data – to increase revenue, cut operational costs and better manage their business.
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sas, bottom line, midsized businesses, leveraging data, data management, internal and external, decision making, big data, operational costs, decision support, operational execution, strategic analysis, predictive analytics, data landscape, real-time data, interactivity, data democracy, visual analytics, data center
    
SAS
Published By: Microsoft Corporation     Published Date: Oct 19, 2010
Attend this webcast to see Microsoft Dynamics CRM Online in action, including integration to Microsoft Business Productivity Online Services (BPOS), and learn about customers who have used Microsoft Dynamics CRM Online.
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microsoft dynamics crm online, marketing, roi, business productivity online services, bpos, data acquisition and segmentation, marketing analytics
    
Microsoft Corporation
Published By: IBM     Published Date: Nov 08, 2013
IBM SPSS Statistics helps Assess Systems improve its candidate assessment instruments
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ibm, uncovering assessment response, assess systems, evaluate assessment data, ibm spss statistics, job performance, test development, test research, company fit, candidate to employee, solution components, business analytics
    
IBM
Published By: Cisco     Published Date: Sep 07, 2016
This white paper provides a detailed breakdown of big data and analytics - the Cisco way.
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Cisco
Published By: Adobe     Published Date: Apr 03, 2015
A lack of executive support and poor data quality are just some reasons why analytics programs fail. The guide by Adam Greco, Reenergize Your Web Analytics, identifies the key reasons for program failures and provides ten ways to make your analytics program successful. Read the guide to discover key ways to improve your analytics program, including: • How to deal with your stakeholders • How to set your analytics priorities • How to reap the rewards of change
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analytics program, stakeholders, adobe, marketing, personalization
    
Adobe
Published By: IBM     Published Date: Sep 11, 2013
Learn how mining data from social media can be a significant way for your bank to gain insights into customer mindsets and behavior by using advanced analytics tools from IBM
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social business, banking, mining data, social media, analytics, customer
    
IBM
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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ibm, cloud, mobility, social business, data, big dta, theft, cyber theft, cyber criminals, security, security risks, global analytics, visibility, data sets, protection, external threats, risk, risk management, finanical stability, it management
    
IBM
Published By: IBM     Published Date: Apr 16, 2014
DB2 BLU By Other Databases And More Wayne Kernochan, Infostructure Associates September 2013 Analyst Wayne Kernochan of Infostructure Associates documents the analytics speed-up capability of DB2 with BLU Acceleration and explains how DB2 BLU compares with competitors. His conclusion after reviewing test results? ""Not surprisingly, the results verified a consistent, roughly order-of-magnitude speedup using BLU Acceleration, against DB2 pre-BLU and against some obvious competitors ..."". What is his advice to readers about DB2 BLU? ""... if your upcoming database needs are analytics/BI/reporting-related, why would you not use BLU Acceleration for them? In other words, what are you waiting for?
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ibm, ibm db2, blu acceleration, acceleration, database solution, workload, configuration, testing, database management, query
    
IBM
Published By: IBM     Published Date: Nov 14, 2014
IBM SPSS Modeler is a powerful, versatile data and text analytics workbench. Learn how you can build accurate predictive models quickly and intuitively, without programming. So you can use data to understand the current state of your organization and get a view into the future.
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ibm, webinar, business intelligence, entity analytics, modeler, automated modeling, predictive intelligence, building models, spss modeler gold, data management
    
IBM
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