Descriptive Analytics

Descriptive analytics is all about understanding your business's past performance to inform present decisions. Our service takes you through a structured, 10-step process to generate detailed reports, interactive dashboards, and insightful visualizations. Starting with an initial consultation to define your key performance indicators (KPIs) and assess your existing data, we proceed to clean, analyze, and visualize that data. The final deliverables include not only the analytics reports but also training for your team on how to interpret them for actionable insights. Our goal is to provide you with a comprehensive snapshot of your historical data, empowering you to make well-informed business decisions.

Step 1: Requirement Gathering and Data Assessment

What We Do: We initiate a consultation session to identify your key performance indicators (KPIs), business objectives, and the data sets you already have.

Duration: 2 - 5 hours

Outcome: A list of KPIs and an understanding of the existing data repositories (either the one we integrated or your own).

Step 2: Data Validation

What We Do: Perform a quality check on the available data to ensure its accuracy, completeness, and relevance for descriptive analytics.

Duration: 1 - 2 days

Outcome: A Data Validation Report, identifying any gaps or inconsistencies that need to be addressed.

Step 3: Data Preparation

What We Do: Filter, clean, and transform the data to ensure it is ready for analysis. This may involve removing duplicates, filling missing values, or aggregating data.

Duration: 2 - 5 days

Outcome: A refined dataset tailored for descriptive analytics.

Step 4: Data Analysis Plan

What We Do: Create an analysis plan outlining the methods and tools that will be used to generate descriptive statistics and visualizations.

Duration: 2 day

Outcome: A finalized Data Analysis Plan, approved by your team.

Step 5: Data Analysis Execution

What We Do: Conduct the data analysis based on the plan, generating descriptive statistics such as mean, median, frequency, and percentages, among others.

Duration: 5 -10 days

Outcome: Raw descriptive statistics and initial insights into the business's past performance.

Step 6: Data Visualization

What We Do: Design and create easy-to-understand dashboards, charts, and reports that visually represent the analyzed data.

Duration: 1 week

Outcome: Interactive dashboards and visual reports that offer a comprehensive view of key metrics.

Step 7: Report Generation

What We Do: Compile the statistics and visualizations into a cohesive report, highlighting key insights and observations.

Duration: 5 - 10 days

Outcome: A Descriptive Analytics Report that provides a clear snapshot of your business's historical data.

Step 8: Presentation and Review

What We Do: Schedule a meeting to present the findings and discuss any particular areas of interest or concern.

Duration: 1 - 2 hours

Outcome: A finalized report with potential recommendations, approved by your team.

Step 9: Documentation and Training

What We Do: Provide thorough documentation outlining how the analysis was performed, along with training sessions to help your team understand how to interpret the results.

Duration: 1 week

Outcome: Your team will be capable of understanding and utilizing the delivered reports and dashboards.

Step 10: Ongoing Support

What We Do: Offer continued support for any refinements, updates, or additional analyses needed in the future.

Duration: Ongoing

Outcome: A long-term relationship ensuring your descriptive analytics needs are consistently met.

By following this structured approach, we ensure that you not only understand what has happened in your business but are also well-equipped to make data-driven decisions going forward.

Feel free to reach out for further clarification or details.