Business Intelligence and Predictive Analytics – 832-819-5744
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 Read More …
RapidMiner Conference Sponsor Come join me at RapidMiner Wisdom Conference on October 10-12, 2018 in New Orleans. CDO Advisors is proud to be a RapidMiner sponsor for this event. It should be a great few days of learning how to get the most from RapidMiner and apply it to business problems.
Sales Management Dashboard with Power BI The example below creates a Power BI sales dashboard solution to visualize sales data for a sales manager. The data is loaded into Power BI to create several views that enable everyone from Sales Managers to Sales Reps to gain insights into the performance of the sales team. To Read More …
Build Power BI Data Quality Dashboards Organizations continue to struggle with data quality in their applications. Finding and cleaning core data elements can often be time consuming and difficult to organize. Business users need an easy way to see current issues in their data as well as make changes in source applications to see the Read More …
Create Executive Dashboards using Power BI Managers need the ability to see data from different areas of the business. Organizing this data into easy to use visualizations enables you to determine trends and discover insights. In addition, you can create mashups that pull data from different sources into a single dashboard view. Executive Dashboard with Read More …
Tracking Capital Projects with Power BI This example pulls data related to projects and creates a dashboard that enables users to quickly see actual vs budget and variance. The status of the projects are shown as well as the breakout of projects by sponsor. The graphs are interactive and can be filtered by selecting a Read More …
Credit Union Membership Map in Power BI This example uses membership data for a fictional credit union to map the members by zipcode. A heatmap is then created to show which zip codes have the most members. The darker the color the more members are in that zip code. In addition, the 4 branch locations Read More …
Retail Sales Dashboard with Power BI The example below creates a Power BI solution to visualize retail sales data from each store. The data is loaded into Power BI to create several views that enable everyone from store managers to regional executives to gain insights into the performance of stores and products. Easily see the Read More …
Finding the Loch Ness Monster The example below uses the sighting information from LochNessSightings.com to determine the area that provides your best chance of viewing the Loch Ness Monster. This report is based on the out of mining the text descriptions using RapidMiner to find the common nouns in the text. Then the out is stored Read More …
Increase Membership with Analytics Leverage advanced data visualization tools to better understand your members and increase membership with analytics. By combining your credit union member information and external postal code level demographic data. Maps can be created that color code each postal code based on the concentration of members. For example, in the graph below Read More …
Credit Union Membership Increased by Data Mining I am speaking on Friday May 18th, 2018 in Savannah, GA at the National Credit Union Conference for Directors and Senior Management. My session topic in on how to use predictive analytics to leverage your data to increase membership and revenue. For financial institutions, the ability to determine Read More …
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 Read More …
Use SQL Server SSAS Tabular Models to Enhance your Power BI reports Companies with SQL Server licenses running in production most likely already own but are not using SQL Server Analysis Services (SSAS). To get the most from your existing investment in SQL licenses. Companies should explore how SQL Server SSAS Tabular Models can increase the performance Read More …
Reduce Call Center Churn Save money by reducing turnover and training cost on call center agents. Leverage 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 Read More …
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 Read More …
Marketing Customer Information File (MCIF) Many financial organizations already have a custom customer view called a marketing customer information file. Other industries have these as well, called by different name such as master patient index in the healthcare space. These files are created through existing software or internal jobs to merge data from various sources Read More …
Implementing Predictive Analytics into Operational Workflows I will be presenting on April 3rd 2018 in Santa Clara, CA at the Global Predictive Analytics Conference. My session focuses on how to build predictive analytics and integrate the model into your business. I will examine two use cases: Customer Churn and Cross Selling and demonstrate the process Read More …
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 Read More …
Sentiment Analysis of Tweets from SuperBowl LII Do you own a business and wonder what people aka customers are saying about your company? Using text mining and sentiment analysis enables you to uncover the words your customers are using and the positive or negative sentiment of those words. Text mining involves taking text from any Read More …
Selecting the Power BI Version for Your Business Microsoft’s Power BI is their flagship product for data visualization. It enables businesses to connect to hundreds of data sources, build and deliver dashboards, and share content with others in your organization. Since it is cloud based, users can view the information from inside their network or Read More …
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 Read More …
RapidMiner Market Basket One method to create a targeted cross selling model is to use historical customer information and apply the prediction to existing customers. In this example, I will be using fictitious customer account data for a financial institution such as a bank or credit union to create a RapidMiner Market Basket predictive model. Read More …
Power BI Direct Query Power BI can be used in one of two modes to access data. The import option loads data from the source data to the Power BI model. Queries are then processed directly against the data in the model. Using the DirectQuery option, on the other hand, leaves at the source and Power Read More …
RapidMiner Text Mining Text mining is a process to pull words from free form text fields, word documents, or other data sources. Business use cases for text mining include scrubbing text from survey notes, claim notes, project notes or call center notes. It is applicable in any situation that requires parsing text to find words Read More …
Increase Revenue Cross Selling with Predictive Analytics Want to 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 Read More …
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. Read More …
Houston Crime Data The city of Houston provides high level details on crime statistics via Excel files on the police website. These statistics are stored in monthly files available via Excel or Access. In order to better understand the crime data I created a single Excel file that stored the data from August 2016 to December Read More …
Master Data Management and Data Value Master Data Management (MDM) is a system that enables business critical core data to be entered and maintained through a central application. Security and tracking of the data value changes are built into the process and allows tracking the history of values. Data that is vetted and approved can Read More …
CRISP-DM Mr. Wilson published an article on CIO Review that explores how to leverage the Cross Industry Standard Process for Data Mining CRISP-DM. In this article, Leveraging JMP to Impove Business Decisions he discusses how using the CRISP-DM process can help you create more value from your data and analytics initiatives.
Value from Predicting Customer Churn Predicting customer churn allows businesses to leverage predictive analytics to classify customers based on how likely they are to churn. You can divide your customers into segments or get as granular as calculating each customers probability of churn. By using historical data from your operational systems you can mine the Read More …
