Analytic Reports
Utilized Data
Use data to navigate, plan, and pivot effectively to ensure the business is operating at peak performance. Analytics is a smart way to maximize resources to remain competitive in a data-driven world.
“Data is the new oil!”
–Forbes Magazine
BENEFITS
✓ Cost Reductions
✓ Operational Efficiency
✓ Innovation
Data Optimization
Customer Data
Understand consumer preferences, needs, and buying behaviors.
Vendor Data
Information to drive negotiations, reliability analysis, and more.
Inventory Data
Manage overstocking or out-of-stock, optimizing inventory, and reducing storage costs.
Frequently Asked Questions
What is analytic reporting for small businesses?
Analytic reporting refers to the process of collecting, analyzing, and presenting business data in an understandable format to help entrepreneurs and small businesses make informed decisions.
Does my company need to purchase any software beforehand?
Great question! There a tools on the market that can help greatly but, we are not proficient in all of them. If your company is seeking a long term solution we recommend an MS Power BI subscription!
How long do projects normally take to complete?
While every project is unique, we strive to complete most projects in under one year.
If we have data tools in place, would the firm be comfortable with building custom reports?
Absolutely! However, if your company does not have a data capturing methodology that’s where we can recommend solutions!
Why is data analytics so important?
It helps companies identify opportunities, optimize processes, and remain competitive in the market.
What are the types of analytical opportunities?
Descriptive Analytics: Describes historical data and helps businesses understand past performance (e.g., reports and dashboards).
Diagnostic Analytics: Identifies the causes of past outcomes and seeks to answer why something happened (e.g., root-cause analysis).
Predictive Analytics: Uses historical data to forecast future trends, behaviors, or events (e.g., sales forecasting or customer churn predictions).
Prescriptive Analytics: Provides recommendations for actions to achieve desired outcomes (e.g., optimizing marketing campaigns or inventory management).