Data Mining

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CDO Advisors Quick Start Packages

Power BI, Analytics and Data Science Quick Start CDO Advisors Quick Start packages offer businesses a low cost option to explore Power BI, Analytics or data science.  Executives know they need better information from their data and are often confused on what technologies are available to transform their data.  You know your management team is frustrated by their ability to make data driven decisions based on data science and predictive analytics.  Our quick start packages are designed to get you a working proof of concept in as little as 5 or 10 days.  All of our packages leverage your data to provide better reporting, analytics, or data science.  As a result of these packages, see exactly what your business could gain by investing in these technologies with minimal cost. Quick Start Packages: Analytics Quick Start Customer Segmentation Quick Start Power BI Quick Start RapidMiner Quick Start Text Mining Quick Start  

By |2019-05-12T15:24:18+00:00May 12th, 2019|Data Mining, Power BI, RapidMiner|0 Comments

RapidMiner Auto Model for Online Data Mining

Get started with Data Mining using RapidMiner Auto Model RapidMiner recently released their online data modeling tool called Auto Model.  This product allows you to upload data and have RapidMiner build initial data models for you.  Currently there are limited algorithms that are available, however, the tool is a great way to get started with RapidMiner and learning data science. Available algorithms: Decision Tree Naive Bayes Generalized Linear Model Logistical Regression Watch the our youtube video - Auto Model Titanic Example Try out the product - automodel.rapidminer.com        

By |2019-04-22T02:06:52+00:00October 21st, 2018|Data Mining, RapidMiner|0 Comments

2018 CIO Review Business Intelligence Solution Provider

CDO Advisors included in the Top 20 Business Intelligence Solution Providers We were just included as a 2018 CIO Review Business Intelligence Solution Provider. While data analytics solutions such as BI and predictive analytics have already emerged as an integral factor in bolstering the value chain of big businesses, the Small and Medium Businesses (SMB) are yet far from leveraging their impeccable benefits. The existing rumor that these services are highly expensive, and the challenge of poor data quality and sheer lack of awareness on progressive technology, have become the biggest blocks in preventing SMBs from availing data analytical services. Drawn by the situation, Derek Wilson, an astute entrepreneur endeavored on a journey to aid SMBs to extract maximum value from their data sets. Thus, saw the creation of CDO Advisors, the IT advisory and consultant firm, providing end-to-end data services ranging from data management, business intelligence, predictive analytics, to data [...]

By |2019-10-08T19:05:52+00:00May 6th, 2018|Data Mining, Power BI, RapidMiner|0 Comments

Reducing Call Center Agent Churn with Predictive Analytics

Reducing Call Center Churn Do you have a call center and want to keep your best employees from leaving?  Want to know what traits of an employee make them most likely to leave?  Apply call center predictive analytics to your employee data to determine why your employees are leaving.  Hiring the wrong employee waste time and money.  Focus on hiring the best candidates based on your historical employee data. Save money by reducing turnover and training cost on call center agents.  Leverage contact center predictive analytics to reduce call center churn. Organizations that have many employees that are in high turnover positions such as call centers, sales teams, or temporary agencies. All of these roles could benefit from building models to determine why employees are leaving. Predicting employee churn using data mining and analytics can help to reduce and retain top talent. The impact of churn can be in both [...]

By |2019-09-04T16:40:19+00:00April 22nd, 2018|Data Mining, RapidMiner|0 Comments

Primed-AP (Analytic Process)

What is the Primed-AP Methodology? CDO Advisors has launched Primed Analytics Process Homepage to publish content related to our newly published Analytic Process.  The Primed-AP © process was created based on years of experience working with business users to implement predictive analytics.  Existing methodologies focus on the data science tasks but do not include the required tasks for business users.  In order to have a successful project everyone involved needs to understand the roles and responsibilities of the entire process.  Some phases of the process require collaboration between the business and data scientist.  While other phases require more time from the data scientist.  The following section outlines the phases and highlights the responsibilities for the project team.   Full details will be available on the website that describe each step in the process along with typical tasks for business users and data scientists.  This process will enable you to get more value [...]

By |2019-08-14T11:51:27+00:00April 1st, 2018|Data Mining|0 Comments

Increase Value by Creating a 360 Degree Customer View

Creating a 360 Degree Customer View Businesses today have a wealth of data and limited information and knowledge.  Unless you are using a single application to run your business, you will need to integrate your data to achieve data driven insights. Gaining knowledge about your customers and all of their interactions can enable you to outperform you competition.  A 360 degree customer view pulls relevant information from all of your data sources into a single repository that gives you easy and quick access about your customers.  Leverage Power BI to better understand your customer and their behaviors. How can a 360 Degree Customer View increase revenue? Customized Customer Segementation Targeted Marketing Campaigns Loyalty Reward Cards Create Next Best Offer Programs Anticipate Customer Issues before they arise Potential Data Sources for a 360 Degree Customer View ERP Systems CRM Applications Transaction Systems Billing Systems Call Center Tracking Social Media Survey  Responses [...]

By |2019-09-01T08:20:18+00:00February 25th, 2018|Data Mining, Power BI|0 Comments

Applying Predictive Analytics

Applying Predictive Analytics Predictive Analytics Learn the 5 steps to leverage data mining and predictive analytics to improve your business.  Leverage your data assets to improve decision making, increase revenue and decrease expenses.  Signup to download our Infographic on applying predictive analytics. Our quick start packages enable you to start leveraging advanced analytics in as little as 12 weeks.  Contact us today to learn more. Learn more about Predictive Analytics - Applying Predictive Analytics   Download the Applying Predictive Analytics Infographic * indicates required Email Address * First Name * Last Name * Phone Number

By |2019-08-12T15:32:15+00:00November 25th, 2017|Data Mining|0 Comments

Cross Selling and Predictive Analytics

Increase Revenue Cross Selling with Predictive Analytics Understand how data mining and predictive analytics can help you target the best customers for cross selling or up selling opportunities?  By building a predictive analytics model that leverages historical data from your company.  A model can be built and applied to your active customer base that identifies your best offer for a customer.  We can get you next best offer models off the ground in 10 days.  See what is possible with machine learning to increase your revenue and decrease expenses.     Learn more about our Data Quick Start Solutions See how to leverage Data Mining to Improve Business Operations Learn more about Machine Learning

By |2019-10-08T18:57:59+00:00June 25th, 2017|Data Mining|0 Comments

Predicting Employee Churn with Data Mining

Use Data Mining to Identify Employees at Risk of Churn For organizations that have a lot employees that are in high turnover positions.  Predicting employee churn with data mining can help to reduce and retain top talent.  By collecting data on employees and then building a predictive model using employees that have left the organization.  You can create models that will give you new insights into the characteristics of employees that are at risk of leaving.  By having this score you can then match up the performance of the employee to determine options to keep your talent and prevent them from leaving.  For example a call center, sales team, or temporary agencies could all benefit from building models to determine why employees are leaving. Build the Model For this example model, I used a sample dataset that contains various information for each employee.  This data contains both customers that are [...]

By |2019-08-10T20:29:39+00:00May 11th, 2017|Churn, Data Mining|0 Comments