Data Mining Services by Industry

Statistical modeling, data mining, forecasting and more

Business Intelligence Solutions specializes in the development and support of Knowledge Repositories (containing model-induced knowledgebtained through a model development process. Accurate product sales forecasts, for example, which can only be obtained through a predictive model that considers dynamics of sales and several additional factors, are model-induced. Say, for example, an organization has geographic data as well as data about promotion efforts in more than one channel. In this case, one can compare sales by region, controlling for promotion efforts and possibly other factors. Simultaneously, one can develop a response surface (sales as a function of spending in each promotion channel, again controlling for all other relevant factors), and evaluate the effectiveness of the promotion campaign, compare the effectiveness of each of the promotion channels and develop the optimal strategy for multi-channel management. and data-induced knowledge) Data-induced knowledge refers to knowledge that is extracted from data without the use of any sophisticated analytical tools and models. Data-induced knowledge can be generated by any reporting tool. For example, graphical representation of monthly product sales by region can provide useful information and knowledge on regional sale trends. In this instance, knowledge is induced through only the visualization of two-dimensional data: sales and time by region. Since there is no control for other variables (e.g. promotion effect), it is difficult to determine the region with the best performance. In order to determine the best-performing region, model-induced knowledge should be employed.that systemically capture and analyze your company's knowledge assets, empowering you to identify and address unique business challenges and opportunities.

Regardless of the industry you're in, we can help you improve your business processes, reduce expenses, increase revenue and gain a competitive edge. How? By solving your unique unstructured business problems lex, an unstructured business problem cannot be described with a high level of completeness, cannot be resolved with a high degree of certainty, and cannot easily and uniquely be translated into its quantitative counterpart. Unlike a structured business problem, which strives to achieve the best solution, an unstructured business problem strives to achieve a reasonable solution. Experts will often disagree on what constitutes the best method and best solution for an unstructured business problem. Consequently, if a similar project is assigned to five different data miners, each will come up with a unique methodology, each will require specific data mining algorithms and software, and each will deliver a different results. A customer feedback study, which strives to determine if any relationship exists between customer perception of company reputation and sales, is an unstructured business problem and/or by finding acceptable data mining solutions to your ill-defined business problems. The majority of business problems are ill-defined, which means that either a) a unique solution does not appear to exist; or b) the starting position, allowable operations or goal state are not clearly specified. Even more challenging than the ill-defined business problem is the wicked problem. A wicked problem has incomplete, contradictory and changing requirements. Consequently, stating the problem is as much a part of the challenge as resolving it..

The statistical modeling, data mining and GIS tools we leverage are sophisticated, complex and costly. Fortunately we own them, so you get to reap the benefits of world-leading software without having to incur the expense.

In particular, Business Intelligence Solutions can help you:

develop lifelong relationships with your most profitable customers, enhance customer retention, profitability and acquisition, increase cross-sell and/or up-sell, and address other common CRM challenges
identify switchers to competitor products and develop optimal strategy to reduce the probability of switching
carry out customer profiling and market segmentation
forecast product sales (short-run and long-run)
evaluate promotion effectiveness and develop optimal multichannel strategy
develop and analyze customer satisfaction/job satisfaction surveys

Furthermore, we have extensive experience in the development of new market research methodology, including sophisticated analysis of primary and secondary data, response modeling, evaluation of impact of marketing events, and design of pilot studies.

Plus, we offer customized application development with embedded predictive response models as well as the integration of statistical/data mining models into your company's existing applications.