Our Services

Data Integrity and Process Reviews

The goal of this type of project is to perform a thorough review of your data integrity and processes, providing recommendations for improvement. This includes:

Extensive Data Review: A comprehensive assessment of your data integrity and management processes.
Stakeholder Engagement: Interviews with key personnel to understand challenges, goals, and expectations regarding data usage.
Technology Assessment: Evaluate the tools & software used to handle the data, ensuring they are up-to-date and effective.
Data Quality Review: Assessment of accuracy, consistency, and identification of outliers or errors impacting analysis or decision-making.
Pain Points & Bottlenecks Analysis: Identifying issues such as slow processing, difficulty accessing data, or manual workarounds.
Validation Processes: Ensuring that mechanisms are in place to validate that only accurate, meaningful, and authorized data enters your systems.
Process Optimization: Opportunities to streamline workflows, eliminate redundancy, and speed up data handling, including potential automation or process revision.
Data Accessibility & Usability: Review data access permissions, and how easily it can be retrieved by the right people.
Comprehensive Report: Documentation of current data processes with actionable recommendations for improvement.

Data Management and Workflow Optimization

The goal of this type of project is to increase data efficiency and reduce costs by implementing improved data management practices. This includes:

Implementation Planning: Developing a clear and actionable plan to execute the recommended improvements from the review phase.
Database Design: Revising an existing data model or setup a new database in the cloud as required.
Automation of Key Processes: Automating tasks such as data transfers, report generation, and validation checks to reduce manual effort.
Data Validation: Setting up or refining validation rules within workflows to ensure that only high-quality, validated data enters the system.
Data Cleaning:: Implement automated data cleansing processes to remove duplicates, correct errors, and standardize data formats.
Dashboard & Reporting: Creating dashboards and automated reports to provide stakeholders with insights into the performance of the optimized processes.
Staff Training: Conducting hands-on training sessions with staff members are familiar with the new workflows, tools, and best practices.
Training Documentation: Providing comprehensive guides and reference materials for staff to use during and after implementation.

Tailored Software & Data Solutions

The goal of this type of project is to leverage high-quality data to increase business insights and generate new revenue streams. This includes:

Project Scoping & Requirements Gathering: Consultation with key stakeholders to clearly define the problem(s) the custom solution needs to solve and gather detailed requirements.
Solution Design & Architecture: Defining the system architecture, technology stack, integration w/other systems, specifying UI design, and developing prototypes.
Solution Implementation: This could involve:

ETL Pipeline Development: Building Extract, Transform, Load (ETL) pipelines to incorporate additional data sources, expanding the breadth and usability of company datasets.
Model Development: Creating custom modeling processes to generate valuable business insights and drive revenue.
Custom Analytics Tools: Developing custom dashboards, reports or analytic tools that provide business insights.

Testing & Quality Assurance: Developing and executing a testing plan to ensure the solution meets the defined requirements.
Deployment & Integration: Implementing the solution in the hosting environment and providing technical support as needed.
Training & Handover: Conducting training sessions and providing resources for end-users.
Documentation: Deliver comprehensive documentation and user guides for future reference.
Post Deployment Support & Maintenance: Providing a long-term support & maintenance plan to ensure continued success.

Focused Data Support

The Focused Data Support project is designed for smaller, specific data tasks where a companies need targeted assistance. It often involves addressing particular data challenges, solves specific problems, or providing insights from a subset of data. It typically includes:

Project Definition & Scope: Clearly defining the specific data problem or task to be addressed. This involves an initial consultation, defining the data sets or systems involved, and establishing expected outcomes.
Time & Retainer Agreement: Since these projects are generally smaller and task-specific, we outline the minimum hours required on retainer with flexibility for ongoing support.
Data Discovery & Access: Understanding and accessing the relevant data needed for the project. This includes a data review, setting up data access, and data extraction if required.
Targeted Data Analysis: Analyzing the specified subset of data, which includes identifying and removing bad data, and extracting meaningful insights.
Problem Solving & Technical Solutions: This could include specific problem solving, custom queries or reports, or data access solutions such as API integrations.
Documentation of Findings & Solutions: Communicating the findings and recommended next steps.
Training or Handoff: Providing training sessions or a complete handoff, if applicable.