Realize the potential In-Memory Computing for BI and Analytics

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Responding When It Matters: Creating Unique Real-time Responses Using Analytics

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By Venkat Rajan, Vice president, analytic services, Symphony Teleca Corp.

You're at a home improvement store when you get an offer for a patio furniture set on your cell phone. You think to yourself, "Interesting. This is exactly what I need! I should take a look and see if it's what I've been looking for."

How was an offer presented to you that seemed to practically read your mind? If you study the scenario shown in Figure 1 (below), you will see that no single activity indicates a need for a patio set. These activities by themselves don't provide enough insight to what kind of offer you should get, but there it is. How did it happen?

Figure 1: Patio furniture real-time promotion

Today, we have all the technology components and most of the data to make this happen. First, the home improvement retailer has data about your prior shopping activities. Through analysis of this structured, internally available, transaction data, the retailer can categorize you into the right behavior segment by evaluating characteristics such as basket size, frequency, price sensitivity, and style. It is then a matter of targeting and deciding what kind of offer to make. The retailer can stop at that point and make an offer that fits your behavior and how it wants to influence you. For example, if you are a frequent shopper who buys products in certain categories, the retailer may want you to buy more or buy a product in a related category.

That is not enough. You may not be in the market for buying products in those other categories. If the retailer can integrate unstructured data from Web logs, Facebook, Twitter, and other sources and find the relevant insight into your current behavior, the targeting can be more, well, "on target."

Additionally, by integrating location-based real-time data, the retailer can make that relevant offer to you now, while you have an expressed intent to buy, because you're currently in the home improvement store.

A guide to buying strategic analysis: five critical criteria for success with Google Analytics

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8 principles that you can make an Analytics Rock Star

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Follow these principles--many of which are overlooked by traditional methodologies--and you could become an analytics heavyweight in your organization.

By Bernard Wehbe, Founder and Managing Partner, StatSlice Systems

Great design, high-quality code, strong sponsorship, accurate business requirements, good project management, and thorough testing are some of the obvious requirements for successful analytics systems. As a professional in the field, you must be able to do these things well because they form the foundation of a good analytics implementation. This is good enough for most people but not good enough for you--if you want to be a high-demand analytics "rock star" and help your organization overcome its critical business challenges.

Successful analytics professionals should follow a set of guiding principles. These principles are often overlooked by traditional methodologies. In this article, we'll explain the eight principles that, once implemented, can make you a rock star in your organization and increase your worth in the marketplace.

Principle # 1: Let your passion bloom

If you do not love data analytics, it will be hard to become an analytics rock star. No significant accomplishments are achieved without passion. For many people, passion does not come naturally; it must be developed. Cultivate passion by setting goals and achieving them. Realize that the best opportunity in your life is the one in front of you right now. Focus on it, grow it, and develop your passion for it! That excitement will become obvious to those around you.

Principle # 2: Never stop learning

Dig down deeper about the business details of your company. What, exactly, does your company do? What are some of its challenges and opportunities? How would the company benefit from valuable and transformative information you can deliver? Take the time necessary to learn the skills that are valuable for your business and your career. Keep up-to-date with the latest technologies and available analytics tools--learn and understand their capabilities, functions, and differences.

Deepen your knowledge with the tools that you are currently working on by picking new techniques and methodologies that make you a better professional in the field.

Principle # 3: Improve your presentation skills and become an ambassador for analytics

Improve your presentation and speaking skills, even if it is on your own time. Excellent and no-cost presentation training resources are readily available on the internet (for example, at http://www.mindtools.com/page8.html. Practice writing and giving presentations to friends and colleagues that will give you honest feedback. Once you have practiced the basic skills, you need to enhance your skills by improving your persuasiveness and effectiveness. You must be able to explain, justify, and "sell" your ideas to colleagues as well as business management. Organizational change does not happen overnight or as a result of one presentation. You need to be persistent and skillful in taking your ideas all the way up the leadership chain.

Principle # 4: Be the "go-to guy" for tough analytics questions

Tough analytic problems typically don't have an obvious answer--that's why they're tough! Take the initiative by digging deep into those problems without being asked. Throw out all the assumptions made so far and follow logical trial and error methodology. First, develop a thesis about possible contributors to the problem at hand. Second, run the analytics to prove the thesis. Learn from that outcome and start over, if needed, until a significant answer is found. You are now well on your way to rock star status.

Achievement of greater agility with Google Analytics and Business Intelligence

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Gaining an edge in production with Business Analytics

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Actionable Analytics for healthcare

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Webinar Abstract

A special Webinar produced jointly by TDWI and MedTech Media, publisher of the award-winning Healthcare IT News and Healthcare Finance News, as well as Healthcare Payer News and other brands.

Analytic challenges and opportunities are shaking up the healthcare industry. Policy and regulatory changes that affect financial reimbursement and patient-care performance evaluation are forcing organizations to move quickly to improve data analysis. Electronic health records, emerging health information exchanges, and other data services are providing new and valuable data. Highly visual and easily understood data presentation and analysis are now vital to many financial, clinical, and patient-care decisions.

Healthcare providers in particular must upgrade how their financial, clinical, and patient-care professionals access data and apply the powers of analysis. The new generation of tools for business intelligence, visual presentation, and analytic data discovery are easier for nontechnical users to implement than older generations of technology. They can help organizations move away from slow, manual, spreadsheet-based processes and replace them with more productive approaches.

This special Webinar, produced jointly by TDWI and MedTech Media (a division of HIMSS Media) will discuss how healthcare organizations can overcome data provider challenges and deploy business intelligence, analytics, and visual dashboards to accomplish financial, clinical, and patient-care objectives. Drawing from real-world experiences at Swedish Medical Group, a large, integrated health system, the speakers will discuss key trends and provide detail about how to implement business intelligence effectively.

In this session, you will learn:

How business intelligence and data analytics can be applied to specific challenges faced by healthcare providers ' financial, clinical, and patient-care personnelHow Swedish Medical Group, a large, integrated health system, successfully implemented leading-edge analytics and business intelligenceHow technologies such as data visualization, dashboards, data discovery, and analytics can positively impact financial, clinical, and patient-care decisions

Guest Speakers:

David Delafield, Chief Financial Officer, Swedish Medical Group

Ted Corbett, Founder, Vizual Outcomes, LLC

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David Stodder

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Serie di seminari TDWI - BI Essentials & fondazioni in Analytics

Concierge Conference Center
780 Third Avenue
New York, NY 10017
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Strengthen the understanding of business intelligence (BI) and data warehousing (DW). These courses are designed to take you from the base BI/DW principles and practices to understand how to capture actual business requirements, along with best practices for the management of programmes and projects BI/DW. Find new and old students that these courses provide those blocks that are the key to understanding the rest of this dynamic field of information technology.

The course titles below are linked to detailed course descriptions.

Many companies today are exploring the use of Google analytics to become more competitive. Although it is tempting to jump right into trace technologies, it is essential to develop the right business strategy before. This TDWI track four-day seminar offers a unique opportunity for business and IT executives and managers to gain a better understanding of how to create an organization geared to business analytics, as well as learn the fundamentals of technical analysis of key today.

The course titles below are linked to detailed course descriptions.

If you register to become a Premium Member of TDWI upon registration of the seminar, you can attend TDWI rates using Premium Member. The Premium membership is $ 275 for one year. Teams of three or more can receive a discount of 10%. Please contact us at education@tdwi.org or 425 277 9181 to receive a priority code.

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Best practices for a strategy of Google Analytics and BI

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