Our Services

 

Machine Learning

The Rising Analytics team of Data Scientists and Machine Learning Engineers have vast experience in supervised, unsupervised and reinforcement machine learning techniques. We also have experience working with different domains like Banking & Financial, Telecom, Healthcare, Pharmaceutical, E-commerce etc.

As a machine learning consulting service, we dive deeply into the business problems of the clients and help them make and deploy machine learning software. We use a seven step analytical approach for any machine learning project.

 

Segmentation (Cluster) Analysis

Segmentation also known as cluster analysis is a task of grouping a set of objects such a way that they are homogeneous within the group and heterogeneous between the group meaning objects in the same group are more similar to each other than to those in other groups. Clustering can be formulated as multi objective optimization problem.

Cluster is a group of similar objects that can be cases, points, observations, examples, members, customers, patients, locations etc.

At Rising Analytics, we provide solutions for different segmentation models based on behaviour:

  • RFM segmentation

  • Hierarchical clustering

  • K-Means clustering

  • DBSCAN

  • CHAID

Visualization and Dashboard Reporting

The best way to understand the data is using the graphical representation of the data. By using visual elements like charts, graphs and maps, data visualization tools provide an accessible way to see and understand trends, outliers and patterns in data.

A dashboard is a data visualization tool that tracks, analyses, and displays KPIs, metrics and critical data points. An interactive dashboard helps users to play with the different metrics, filters, sorting.

We at Rising Analytics help clients to not only build dashboards in tools like PowerBI, Tableau or MS Excel but also help them to optimize, pre-process and integration of the RDBMS with the dashboard.

 

Automation

We at Rising Analytics help to create software or system to replace repeatable processes and reduce manual intervention. We use MS EXCEL VBA and Macro, R and Python scripts for automation.

Data Engineering & ETL

The best way to understand the data is using the graphical representation of the data. By using visual elements like charts, graphs and maps, data visualization tools provide an accessible way to see and understand trends, outliers and patterns in data.

A dashboard is a data visualization tool that tracks, analyses, and displays KPIs, metrics and critical data points. An interactive dashboard helps users to play with the different metrics, filters, sorting.

We at Rising Analytics help clients to not only build dashboards in tools like PowerBI, Tableau or MS Excel but also help them to optimize, pre-process and integration of the RDBMS with the dashboard.

 

Community Banking

For 115 years Midwest BankCentre has served as both a trusted banker and business partner throughout the St. Louis region. In 2020, Midwest BankCentre, Inc. acquired Taylored Analytics (now Rising Analytics) based on their expertise and the depth of their team with the desire to bring their proven analytical skills to our small and mid-size business partners.

Rising Analytics has extensive experience in community banking and we provide support and know-how on how to address the top challenges community banks face today:

  • Guidance and expertise on how to connect Core with your additional, isolated systems and can support the implementation of third-party banking software such as nCino, Abrigo, and others.

  • Automation of banking products (ACH integration, tracking rates, etc.)

  • Banking Advisory. We help to bridge the technology gap with third-party platforms (Google Analytics, Cognos, SNL Banker, etc.)

  • Reporting and Dashboards. We develop custom dashboard solutions that comply with the highest security standards.

  • Banking Data Solutions. Rising Analytics can implement and integrate banking data warehouses.

  • Salesforce Implementation. We’ll provide support to data teams on creating the necessary data extracts and data pipelines for a Salesforce implementation.

  • Customer profitability implementation and adoption support across business units.

  • Customer analysis and segmentation based on core data.