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The next Omaha Data Science Academy cohort starts June 13th. Beat the competition and apply early! Applications open on Monday the 16th.

Contact Nate Watson at nate@canworksmart.com or see Interface‘s webpage for more details.

Are you interested in predictive analytics? Are you applying for jobs involving machine learning? Would you like to learn how to design and create algorithms? If so, the Oma-DSA may be a perfect fit. The Oma-DSA is designed for people who want to add to their data science knowledge for marketable skills. We use hands on teaching from leading data scientists in the Omaha area to craft courses that will boost your knowledge exponentially. More details at can2013.wpengine.com


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CAN is excited to announce, in partnership with the Interface Web School, the creation of Omaha’s first Data Science Academy (ODSA). 

This is something we have been working on for a long time. It is actually a continuation of a service we currently offer to clients where we train a company’s first data scientist. We feel this unique person, trained in both data science and business problem solving, is needed by their company to help implement the ideology more than produce mathematical models or produce visualizations.

In the past, we heard that while companies know how to find and hire a data scientist, they fear not being able to utilize this person or even know how to correctly scope how to use predictive analytics in their business. This caused them to not execute or to execute poorly and leave a bad taste in the organization’s mouth.

CAN has discovered that having a data science advocate (instead of just a data scientist) usually fixes the hangup with implementation in most companies trying to use data science for the first time. The realization there was a considerable lack of talent when looking to fill this need, led us to develop a school that teaches not only entry level data science, but also how to address the political red tape prevalent in changing how an operation thinks and makes decisions.

This academy will help CAN reach its goal of putting a data science advocate in every company in Omaha. While audacious, we feel this is a must to keep Omaha companies relevant in an economy where we are not just in competition from a company down the street but from every other company doing similar work around the world.

 

Details.

This certificate will teach some of the most important techniques and tools necessary to introduce data science into company culture, get necessary political buy-in, find, manipulate, and analyze the data present inside your company’s database, make predictions of outcomes, and create visualizations that can help non-technical users understand and see the identified trends and patterns inside the data.  

The ODSA is designed to help set a company down the road of data discovery and data-driven decision making. While not the heavy mathematician or economist created by four year degrees, the graduate will leave the Academy with the confidence and the skills of an entry-level data scientist and be able to have conversations with business units, build predictive analytical MVPs, and be able to know and manage the skill sets needed for future data scientist projects.

The Certificate consists of 4 Modules: 

  • Basics of Python Programming
  • Data Manipulation and Management
  • Statistics and Computational Modeling
  • Data Visualization

 

All classes meet 2 nights per week for 20 weeks over the course of 28 weeks for a total of 154 hours of in-class instruction to complete the certificate.

 

For more information on course offerings and to apply, go to www.canlearnsmart.com

You may also contact Nate Watson, director of the academy, at nate@canworksmart.com if you have specific questions about offerings or custom classes. 

 


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Recently, Contemporary Analysis (CAN) was asked by the Indianapolis Business Journal to weigh in on how Predictive Analytics is changing the marketing space. We believe by combining predictive analytics and marketing, called contextualized marketing, marketing can move closer to the holy grail of one person, one sale.  Most companies do this by purchasing a software–it’s dactyl, most companies have a line item in their budget, and it gives a third-party marketing company reoccurring revenue. While CAN itself doesn’t have a piece of software to sell, we believe that contextualized marketing is the right move for companies and that those with the edge are “the ones using data scientists to predict who inside of a group of people have the propensity to buy.”

Because CAN doesn’t have the software solution, we approached the solution from a slightly different angle. We provide modeling and results in way that can be easily added to your current tracking software. This way, a company can begin the transition from shotgun marketing to tactical marketing with a low cost of entry. Once implemented, the case can be made for the software using predictive analytics to be purchased and used if needed.

Additionally, because software companies provide a tool and very little in the way on why the tool is important, most software implementations fall flat. We believe our value is helping companies manage the change management necessary to implement the software and to understand how to use them effectively–which greatly increases both the adoption and the ROI from the adoption.

Let us know how we can help you build data science into your marketing. We would be glad to help.

For more information or to gain knowledge as to who and how we have helped implement contextual marketing, go to our website at:

www.can2013.wpengine.com

or connect with the president on LinkedIn at: http://www.linkedin.com/in/natewatson

or send us an email at:

support@canworksmart.com

 

Full article IBJ article:  http://www.ibj.com/articles/54753-smarterhq-gobbles-up-venture-funds


What if you knew who was going to vote, who they would vote for, and if their vote could be changed?

We recently were hired by a campaign where there was no incumbent but their competitor was well funded. They needed a smarter way to campaign.

Contemporary Analysis combining Predictive Analytics, Political Campaigns and Big Data to help the campaign be better at understanding what the vote count was going to be, how to turnout the voter, and what issues were significant to the voting population.

The campaign’s competitors were using large budgets to follow a traditional strategy. But predictive analytics levels the playing field, allowing candidates with smaller budgets to target the right potential voters.  We helped our client focus their marketing efforts and avoid wasting time, energy, and money trying to appeal to everyone. Read more…


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Many people credit the rise of predictive analytics to the technological advances of the last 50 years. However, The history of predictive analytics starts in 1689. Its true that record keeping standards, relational databases, faster CPUs, and even newer technologies such as Hadoop and MapReduce have made predictive analytics an accessible tool for decision making. However, the history of predictive analytics show that it has been used for centuries.  Read more…


What if you knew your target audience well enough to market to them exactly?

Your organization may serve a variety of different demographics — and that’s a good thing! But the factors that motivate one type of customer can be completely different from another customer choosing the same product or service. The key is determining your market segments, and learning what messages will have the most impact for each demographic.

By micro-targeting your customer base, you are able to reach the people that need or want your service, with marketing campaigns tailored to what matters most to them. Instead of sending a generic message to everyone on your list, you are able to send specific messages to targeted groups — increasing your likelihood of response, and ultimately, your overall conversion rate. Read more…


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Customer segmentation analysis is essential. No company has just one type of customer. Customer segmentation analysis allows you and your data to capture this reality. Capturing reality is a pre-requisite to using data to make decisions. Each customer segment needs to be understood, marketed to, and tracked.  Download our case study. 

It is time to stop thinking about your “customer” and start thinking about your “customers”. Don’t let your marketing and customer metrics, hide valuable facts and insight in aggregated data and averages. The next level of marketing analytics is to calculate and track metrics for each customer segment. Customer segmentation provides you a window through which to understand why people do what they do. This gives you enormous power when trying to improve customer lifetime value, increase customer loyalty, reduce the cost of customer acquisition.

Read more…


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While it is important to focus on new client acquisition, it is equally and perhaps more important to focus on improving your relationships with your current customers. This will help you improve your customer lifetime value. Customer lifetime value is the amount of net profit you receive from each customer. As a general rule, the average customer lifetime value needs to be 3 to 5 times the average cost to acquire a customer.

Improving customer lifetime value will help you have a sustainable and profitable business. To stay in business, the net profit from each customer has to be more than the cost to acquire each customer.

Customer Lifetime Value is the average net profit that can be attributed to a company’s entire relationship with a customer. Read more…


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Data is no good if you can’t get it quickly enough and act quickly enough on it. Its all about getting the data fast and acting on it fast
– Andrew Pole

Predictive analytics solves many differnt problems in a many facets of business. The New York Times published an article in February about the retail chain, Target. Target knew that if they could predict buying patterns in a certain group of consumers, they could influence those consumers purchases. Target was smart, they knew exactly who they wanted to go after.

Andrew Pole, a statistician working for Target, created a pregnancy-prediction model that was able to track spending habits and predict when a woman is pregnant. Pole said that, “We knew that if we could identify them in their second trimester, there’s a good chance we could capture them for years. As soon as we get them buying diapers from us, they’re going to start buying everything else too. If you’re rushing through the store, looking for bottles, and you pass orange juice, you’ll grab a carton. Oh, and there’s that new DVD I want. Soon, you’ll be buying cereal and paper towels from us, and keep coming back.” Read more…



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