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Beyond the Hype: The Hard Work Behind Analytics Success
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3/30/2016  
The hype around data and analytics has reached a fever pitch. From baseball to biomedical advances, the media highlights one money-making or money-saving corporate experience with analytics after another. Stories abound about data scientists applying their wizardlike talents to find untapped markets, make millions, or save lives.
Customer Intelligence in the Era of Data-driven Marketing
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3/2/2016  
The current marketing ecosystem is more complex than ever and impossible to manage on gut feeling alone. Customers are more demanding and forever switching between an increasing number of channels. Competition keeps expanding. Budgets are plummeting.
Financial Institution Advantage and the Optimization of Information Processing
Resource Center  
3/2/2016  
Read this featured excerpt from Chapter 4 of Model Risk Measurement by Sean C. Keenan to learn more about how financial institutions are being pushed toward greater capability in model risk assessment.
Achieve Customer Centricity in a Hyper-Connected World
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3/2/2016  
Enterprises routinely claim to be focused on the customer experience, yet few really keep that promise. What’s in the way?
The Internet of Things: Opportunities and Applications across Industries
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3/2/2016  
The Internet of Things is much talked about and fast becoming a fixture in some industries. And the technologies for transformative business applications are at hand. Yet many companies are slow to recognize and act on the opportunities.
The Internet of Things: Finding the Path to Value
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3/2/2016  
The number of network-connected sensors and devices could triple to 21 billion by 2020.This explosion of Internet of Things (IoT) technology, coupled with advanced analytics capabilities, is changing how manufacturers make business decisions.
Mobility, vulnerability and the state of data privacy
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3/2/2016  
Digital footprints in all parts of the world are expanding. Consumers are on board and logged in. And the use of mobile devices is changing everything.
The Power of Collaboration
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3/2/2016  
The Power of Collaboration For most business users, Microsoft Office tools are the primary interfaces used daily in their jobs, whether it’s sending emails, analyzing data in spreadsheets, developing presentations or writing reports.
Self-Service Business Intelligence and Analytics: The New Competitive Advantage for Midsize Businesses
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3/2/2016  
Analytics is more important to success than ever before, and it’s a business practice that has momentum. Fifty-eight percent of the respondents in a recent survey published in the MIT Sloan Management Review stated that the use of analytics gave their companies a competitive advantage, up from 37 percent the prior year. Enterprise-scale companies report dramatic successes with analytics. Download this white paper to learn more.
Stress Testing: A View from the Trenches
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3/2/2016  
Since the global financial crisis of 2008, stress tests have taken on growing importance and prominence in financial institution supervision and regulation. These tests, designed to measure an institution’s ability to maintain capital buffers and withstand extreme economic shocks, were imposed initially, and primarily, on the biggest multinational firms. However, the circle for supervisory stress testing has widened to include a growing number of banks as defined by domestic jurisdictions.
Supporting Your Data Management Strategy with a Phased Approach to Master Data Management
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3/2/2016  
As master data management (MDM) tools and techniques continue to mature, many organizations that embark on their MDM journey find that the typical approach focusing on data consolidation creates barriers to acceptance and integration .
Best Practices for Delivering Actionable Customer Intelligence
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3/2/2016  
This Checklist offers seven best practices for formulating a strategy to derive and deliver actionable customer intelligence. The practices are aimed at helping organizations turn their increasingly voluminous data riches into competitive business advantage. Download this Checklist Report to learn more.
Seven Tips for Unified Master Data Management
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3/2/2016  
Master data management (MDM) can be practiced many different ways, with various user conventions and a broad array of vendor-built technologies. However, this report focuses on a specific practice called unified MDM. This checklist report examines the seven leading characteristics of MDM typical of business programs and technical solutions for MDM.
Data visualization and Hadoop make a difference in higher education
Resource Center  
3/2/2016  
Administrators clamoring for student-level data at Wayne State University faced a number of hurdles. They could look at preformatted online reports created by IT that provided limited insight. Or they could hack their way through a business intelligence solution that required a steep learning curve. If that didn’t work, they could send a report request to the Institutional Research (IR) department.
What marketers need to know about big data privacy: A five-step guide
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3/2/2016  
It’s no surprise to discover that technology has outpaced our social structure. In the case of data privacy, it has also outpaced regulatory and legislative change around the globe. But there are things marketers and consumers can do – and should do – to fight back now. Download this five-step guide on how to protect privacy to learn how you can fight back now.
Data as Competitive Advantage
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3/2/2016  
In the context of today’s marketing landscape, “data” is a great many things.
Your data scientist hiring guide
Resource Center  
11/14/2015  
By 2018, the United States alone could face a shortage of 140,000 to 190,000 people with deep analytical skills, according a McKinsey study. Likewise, the study anticipates a deficiency of 1.5 million managers and analysts with the know-how to use big data and analytics to make effective decisions. How can you get ahead of the trend and hire this rare breed of analytical thinker who combines business know-how with computational smarts?
Digital Marketing: Are You Ready to Go Agile?
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5/1/2015  
A generation ago, consumers were at the mercy of advertisers, being spoon-fed marketing messages across a few media channels: print, billboards, television, radio. These advertisers created markets, defining and reinforcing consumer stereotypes.
Prepare Your Organization to Capitalize on Predictive Analytics
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5/1/2015  
Predictive analytics has the power to change what organizations do and how they do it. Yet many companies are equipped with the right technology, but most lack the organizational capacity to take full advantage of predictive analytics. In addition, many organizational processes aren't built to make use of analytics and make it a competitive advantage.
How Texas Tackles Enterprise Decisions With Big Data
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5/1/2015  
We often hear about how the massive volumes of data the US government collects hold a treasure trove of answers to our most challenging questions - be it on population health, national security, education or how to recoup losses from tax fraud. If only the government could figure out how to make use of all that information.
How the Midmarket Can Take Advantage of Big Data: Seven Practical Tips for Getting Started in Data Visualization
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5/1/2015  
More and more midsize businesses are taking a serious look at data visualization. In a recent midmarket survey, 80 percent of the respondents agreed that putting data to better use could help them improve product quality, uncover new business opportunities and speed up decision making. Ninety-six percent had big data projects either operational or starting up.
Eyes Wide Open: Open Source Analytics Software
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5/1/2015  
Across a broad spectrum of information technology projects, the primary cost drivers have traditionally fallen into three categories: hardware, software and people. In a similar way, the costs of assembling the technology and expertise necessary for a robust analytics ecosystem inside your enterprise will fall into these same categories.
Making Meaningful Predictions in the Fast Lane: The Role of Event Stream Processing in Connected Vehicles
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5/1/2015  
Imagine the following scenario: upon entering a school zone, your car automatically decelerates to the 20 mph speed restriction and alerts the driver to the possible presence of children. Then, after passing through the zone, the car accelerates back to the previous pace, without any driver intervention. Now, consider this: while traveling on an interstate highway, a car driving on the road ahead has a flat tire and veers into another lane
Improving Customer Experience Through Real-Time Marketing
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5/1/2015  
Since 1997, Advance America has helped millions of cash-strapped consumers get flexible and personalized financial solutions for short-term needs. The business has grown from just a few centers in the Southeast to become the largest nonbank provider of cash advance and short-term lending services in the US. Headquartered in Spartanburg, SC, the company serves more than a million customers a year.
The Intersection of Big Data, Data Governance and MDM
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5/1/2015  
For (oh so many) years, we've been hearing about the "promise"of big data. Much of the buzz focused on getting people prepared for the onslaught of bigger data sets - and what IT needed to do to help the business make sense of this information
Iris Worldwide Customer Story
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5/1/2015  
The synergy of creative work and powerful analytics is the route to impactful, innovative campaigns for iris Worldwide, the global creative innovation network. iris has made this strategy a reality using the advanced analytics capabilities offered by SAS, which has given the agency the ability to garner deeper insights using larger data sets, ultimately resulting in higher returns for its customers.
Getting Value From Your Data Scientists
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5/1/2015  
Simply hiring expensive data scientists isn't enough. To create real business value with data scientists, top management must learn how to manage them effectively.
Oil & Gas Monitor: Let Your Data Do the Talking
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5/1/2015  
One of the greatest challenges facing our industry today is managing the 'Big Crew Change'.Anticipating the impending shortage of technically proficient personnel as they exit stage right, we are faced with not only an experience gap, but also a fundamental difference in the way that the next generation thinks
Oilfield Analytics: How New Insights Mitigate Subsurface Uncertainty and Unconstrained Risk
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5/1/2015  
Oil companies are being forced to explore in geologically complex and remote areas to exploit more unconventional hydrocarbon deposits. In areas with intrinsically poor data quality, problems are convoluted, and the cost associated with poor predictions (dry holes) rises. To counter these issues in petroleum exploration and production (E&P), companies need to integrate disciplines and rely on approaches that include data integration, risk assessment and quantification of uncertainty
Statistics and Machine Learning at Scale: New Technologies Apply Machine Learning to Big Data
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5/1/2015  
Imagine getting into your car and saying, "Take me to work," and then enjoying an automated drive as you read the morning paper. We're not there yet. But we're closer than you think. Google has already developed a prototype for a driverless car in the US
Predictive Analytics: Revolutionizing Business Decision Making
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5/1/2015  
Exploring predictive analytics for the first time? Download this Q&A with Malene Haxholdt, global marketing manager for business analytics at SAS to learn more about what you need to know to get started.
Hot Topic: Visual Dashboards for Self-Service BI
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5/1/2015  
Self-service business intelligence (BI) offers an enticing vision of empowering business users with direct access to data and removing IT as a bottleneck. This article highlights why visual data discovery tools have grown in popularity, the role of dashboards, and best practices for success. Download this article to learn more!
Next-Generation Analytics and Platforms for Business Success
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5/1/2015  
User organizations are pushing the envelope in terms of analytics and the platforms to support analysis. These organizations realize that to be competitive, they must be predictive and proactive. However, although the phrase "next-generation platforms and analytics" can evoke images of machine learning, big data, Hadoop, and the Internet of things, most organizations are somewhere in between the technology vision and today's reality of BI and dashboards
Three Big Benefits of Big Data Analytics
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5/1/2015  
Google, eBay and LinkedIn were among the first to experiment with big data. They developed proof of concept and small-scale projects to learn if their analytical models could be improved with new data sources.
Understanding Data Streams in IoT
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5/1/2015  
The large array of connected devices, often referred to as the "Internet of Things" (IoT), is delivering an array of new data from the sensors they contain. This data offers the promise of new services, improved efficiency and, possibly, more competitive business models.
The SAS Data Governance Framework: A Blueprint for Success
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4/30/2015  
As a concept, data governance has been around for decades. By the 1980s, the computing boom led to technology designed to tackle things like data quality and metadata management, often on a departmental basis in support of database marketing or data warehousing efforts. While pockets of what we now call "data governance" emerged, it was rarely a hot topic in the IT community.
Recommendation Systems: An overview of System Types and Benefits
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4/30/2015  
If you've ever used Amazon, Pandora or Netflix, you've experienced the value of recommendation systems firsthand. These sophisticated systems analyze historical buying behavior and make recommendations to buyers in real time while they are shopping for a specific product. By supporting an automated cross-selling approach, they empower retailers to offer additional products or services that enhance the products already selected by customers.
Ecclesiastical Insurance Customer Success Story
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4/30/2015  
Ecclesiastical uses SAS(r) to improve data quality to make better decisions that enhance the reputation of the business, affect millions of pounds of risk selection/underwriting and help to establish optimum reinsurance levels. Millions of pounds hang on decisions around reinsurance and risk selection. Achieving the best possible outcome means taking data and turning it into 'decision-making gold'. The key is to have good data going into the process
Geneia Customer Success Story
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4/30/2015  
This health care technology and consulting company is working with clinical information, medical records and wearable device data to better understand when a trip to the hospital is absolutely necessary - even before the patient realizes it. The company's goal is to help health care organizations deliver better care at a lower cost. It currently serves 750,000 individuals through health care payers, hospital systems and employer organizations.
Lenovo Customer Success Story
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4/30/2015  
Lenovo was near final design on an update to the keyboard layout of one of its most popular PCs when it spotted a small, but significant, online community of gamers who are passionately supportive of the current keyboard design. Changing the design may have led to a mass revolt of a large segment of Lenovo's customer base - freelance developers and gamers. Learn how Lenovo used analytics to rethink its design
The Architecture and Security of SAS Marketing Operations Management
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4/30/2015  
SAS Marketing Operations Management is an efficient, effective enterprise marketing solution that uses advanced software and networking technologies. It is a web-based solution that enables marketing professionals to automate and streamline their marketing operations and processes. This white paper describes the architecture of SAS Marketing Operations Management and various aspects of its deployment and security
The Use of Open Source Is Growing. Why SAS?
Resource Center  
4/30/2015  
As a concept, data governance has been around for decades. By the 1980s, the computing boom led to technology designed to tackle things like data quality and metadata management, often on a departmental basis in support of database marketing or data warehousing efforts. While pockets of what we now call "data governance" emerged, it was rarely a hot topic in the IT community.
Harness Oil and Gas Big Data with Analytics: Chapter 1
Resource Center  
4/30/2015  
The oil and gas industry has witnessed a compelling argument over the past decade to adopt soft computing techniques as upstream problems become too complex to entrust siloed disciplines with deterministic and interpretation analysis methods. We find ourselves in the thick of a data avalanche across the exploration and production value chain that is transforming data-driven models from a professional curiosity into an industry
5 Models for Data Stewardship
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4/30/2015  
In the heyday of customer relationship management (CRM), companies bought first and asked questions later. Nowadays, executives are being enlightened by the promise of big data technologies and the role data plays in the fact-based enterprise. Leaders in business and IT alike are waking up to the reality that – despite the hype around platforms and processing speeds – their companies have failed to established sustained processes and skills around data.
Customer Loyalty Programs 101
Resource Center  
12/30/2014  
When put to its best use, the information culled from customer loyalty and experience programs enables organizations to tailor marketing messages to meet the individual needs and preferences of their members and to engage customers outside the traditional point-of-sale. Read this report and see how customer analytics can drive business strategy and create business impact to get ahead of the competition.
Understanding Big Data Quality
Resource Center  
8/8/2014  
Big data is rapidly moving from the leading edge of technology to being commonplace in the enterprise. It is no longer a question of whether big data will be adopted – it is a question of when. At the same time, data quality must be an essential component of any big-data program. Download this whitepaper and start enhancing data in an efficient and simplified manner.
More Data More Problems
Resource Center  
8/8/2014  
As you look at what’s happening in the market and your business, it’s critical that you understand the difference between each of the areas of big data and how the different problems can be solved. Analytics continues to be a broad term in the market, but it’s worthwhile to look at the problems you are trying to solve and then determine where you fall in this landscape. Read this report and be ready as you plan your next steps in your big-data journey.
Technology for Big Data
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8/8/2014  
By circumscribing a specific set of business problems, companies considering big data can be more specific about the corresponding functional capabilities and the big-data projects or service providers that can help address them. Download this report and see how this approach can inform both the acquisition of new big-data technologies and the recrafting of existing ones to fit into the brave new world of big data.
Big Data in Big Companies
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8/8/2014  
Download “Big Data in Big Companies” and see what approaches several firms are taking to establish the financial returns and benefits from big-data projects. Learn about dramatic cost reductions from big data, improvements in computing time and more.
The Big Bang for Analytics: When Hadoop Met SAS
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8/8/2014  
Read “Big Data, Analytics, and Hadoop” and see why many types of applications in all vertical markets can benefit from this close relationship. Learn about: hadoop made simpler and more powerful, a graphical user interface for exploring big data in Hadoop and how you can attain better answers in seconds, instead of hours or days.
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