All Analytics Academy
The Internet of Things Joins the Enterprise

Jun 9 - Jun 23
Join 5 interactive classes & chat with peers
 
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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?
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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.
Harness Oil and Gas Big Data with Analytics: Chapter 1
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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
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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
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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
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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.
Visualizing Big Digital Data
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8/8/2014  
Download this whitepaper and discover how predictive marketing capabilities are accessible to data miners and business analysts to meet the market’s rising demand and take full advantage of digital marketing insights.
Discovering Hadoop’s Potential With the SAS Effect
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8/7/2014  
Read "Bringing the Power of SAS® to Hadoop" and discover how Hadoop and SAS can unlock your big data and turn new ideas into meaningful actions.
Meet the Dynamic Duo for Big Data Analytics
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8/7/2014  
The integration of SAS and Hadoop provides important benefits for extracting the most value from your big data assets: accuracy, scalability, and productivity. Read this report and discover processes that will run at fast-and-furious speed, enabling broader and deeper investigation, and quickly freeing up Hadoop resources for the next person’s inquiries.
Visual Analytics: A New Weapon for Big Data
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8/7/2014  
As more and more businesses are discovering, data visualization is becoming an increasingly important component of analytics in the age of big data. The availability of new in-memory technology and high-performance analytics that use data visualization is providing a better way to analyze data more quickly than ever. Download this report and discover what an opportunity for success a data visualization strategy can be for your business going forward.
Slicing the Big Data Analytics Stack
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8/7/2014  
From the pipes and platforms to the analytical interfaces and data management tools, we hope to help you develop a better “ear” so you can tune into the big data noise. Download this report and be empowered to make strong decisions in a noisy world of options -- all of which seem to promise similar end results.
Big Data: Guidelines for Profitable Behavior
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8/7/2014  
In a world that's flooded with data, it becomes harder to use the data. There's too much of it to make sense of unless you come to the data with an insight or hypothesis to test. Download this report and start asking the right kinds of questions. You can appear both knowledgeable and advance the likelihood of a good decision outcome.
Big Data: New Insights of Data Management
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8/7/2014  
Read this report and discover new ideas and services surrounding overall data management as we continue to move into areas of maturing analytical requirements associated with big data.
Data Visualization: Big Data's Game-Changer
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8/6/2014  
Download this webinar and discover new insights to help derive the greatest value from big data by removing barriers between customers and data.
Data Virtualization: Unlocking Your Data’s Potential
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5/6/2014  
Download "Federated Data Checks In" and discover what one company did to turn a downward slump of losing revenue quarter over quarter to a record-breaking year in just over 18 months. Learn about the types of data sources, data virtualization servers, process and optimization, and more.
Data Virtualization: The Secret Weapon for Enterprise Data Management
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5/6/2014  
Read "Data Virtualization – Flexible Technology for the Agile Enterprise" and discover, not only what data virtualization is, but how it can impact your business in a very positive way. Learn about how data virtualization products work, the impact of data virtualization on the enterprise and the requirements for data virtualization technology.
The Anatomy of an Analytic Enterprise
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4/16/2014  
Read "Anatomy of an Analytic Enterprise" and engage the mind, connect with the heart, and develop the analytic muscle needed for your organization to achieve its goals. Discover how to transcend traditional mindsets and create an analytical culture that embraces and drives innovation.
Big Data 101: Understanding Hadoop & the Enterprise Data Warehouse
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4/16/2014  
Download "A Non-Geek's Big Data Playbook: Hadoop and the Enterprise Data Warehouse" and find out how Apache Hadoop supports and extends the enterprise data warehouse ecosystem. Learn about processing structured data, processing non-integrated and unstructured data, accessing all data via the EDW and more.
Big-Data Management
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2/27/2014  
For a quarter of organizations, big data mostly takes the form of the relational and structured data that comes from traditional applications, whereas another quarter manages traditional data along with big data from new sources such as web servers, machines, sensors, customer interactions, and social media. Download this report and start making intelligent decisions about which tools, techniques, and team structures to apply to your next-generation solutions for BDM.
Growing Connections: 3 Keys to Enjoying the Fruits of Your Labor
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2/27/2014  
Whether the goal is to attract more customers or get more value from the ones you've got, good segmentation enhances the conversation and focuses company resources in the most productive way. Read this whitepaper and gain the information to improve your acquisition and nurturing strategies for long-term growth.
Seeing the Voice of the Customer: Identifying Root Cause with Text Analysis Visualization
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1/8/2014  
With a growing number of organizations realizing the value of unstructured data as a way to explicitly capture the voice of the customer, using interactive visualization to address big data enables them to do their analysis in an easily digestible, exploratory environment. Read this whitepaper and turn your unstructured data analysis into a single, integrated, flexible analytic environment to gain the advantage over your competitors.




Latest Blogs
Robert delves into the psychology behind "the dress" and how men and women label colors.
Members of the All Analytics community are invited to take part in a survey by Blue Hill Research as the consultancy compiles a profile of the modern data analyst.
HR analytics is getting good enough to predict when people will leave, but just because you can predict it, doesn't mean you can do anything about it.
Analytics pros and their business unit partners have to keep the scope of an analytics project in perspective and not make assumptions about missing data.
Effective use of models help us execute on our thoughts, and there are tools to enable each part of the process, except for what our imagination brings to the game.
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Survive the Digital Transformation


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Health Analytics: Find Data Beyond the Hospital Doors


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Finding Answers Through Prescriptive Analytics


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Visualization: How to Bring Data to Life


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Analytics: Your Defense Against Cyber Threats


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Big Data & Big Pharma: How Analytics Might Save Your Life


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Sports Analytics Mean Fun and Business


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It Pays to Keep Insurance Fraud in Check
While 97% of insurers say that insurance fraud has increased or remained the same in the past two years, most of those companies report benefits from anti-fraud technology in limiting the impact of fraud, including higher quality referrals, the ability to uncover organized fraud, and improve efficiency for investigators.
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