Reports & Dashboards

REPORTS & DASHBOARDS

So, you’ve realized data is important to your business and started collecting it, but now what? Well, data must be analyzed to inform business decisions and prompt action.

By studying that data — cleaning, transforming, plotting, and searching — you can DISCOVER on which areas your business is excelling and on which it is falling short.

Make your data talk

Going deeper into the data can tell you what department, business process, customer type, or stage of your customer journey is yielding the highest returns or the lowest customer satisfaction.

Sharing data-derived insights with key stakeholders, clearly and frequently, is how data-driven organizations make good business decisions.
If you are not yet collecting data, deciding what and how to measure is crucial to design an optimal data-gathering and analysis pipeline that sheds light into your most frustrating business problems.

YOU GET

Real-time tracking of important business metrics via graphs, dashboards, and interactive visualizations
Automated reporting
Customer segmentation analysis, based on demographics like age, gender, zip code, etc

Statistical and sentiment analysis of employee and customer satisfaction surveys
Root cause analysis of business trends discovered in the data
Guidance on how to measure, capture, and use data to improve your decision-making, increase margins, and reduce costs
Scenario analysis to estimate performance of product lines and marketing channels
Performance analysis of complex data (e.g. multichannel marketing data)
Analysis to deliver insights on best customer type, best product sold based on margin or ROI, lost opportunities and other anomalies
Find meaningful information within a large body of data or text (Text Mining)

Schedule a discovery call to discuss your situation

Schedule a call

THE THEORY

Data analysis is the process of inspecting, cleansing, transforming and modeling data with the goal of discovering useful information, finding conclusions and supporting decision-making.

Depending on the type of data and analysis, it is referred to as Data Analytics, Business Intelligence, or Business Analytics, and the main tools in this space are PowerBI, Tableau, SAP Analytics Cloud, Looker, and IBM Cognos.

OUR PROCESS

INTRO CALL

Start of relationship.
We understand
your data needs
and help you
design a solution.

PROJECT DEFINITION

Proposal is drafted stating project requirements, timeline, and price.
Typically 1-2 weeks until contract is signed.

DEVELOPMENT

Reliable and efficient code is written to complete your project.
We test and QA throughout.
We run a trial with test data. You agree on successful completion.

MONITORING & MAINTENANCE

Relationship continues as we become a trusted data partner.
We maintain the existing project and consult on further improvements.

TESTIMONIALS

AJA DATA LAB HAS BEEN VERY HELPFUL TO US WITH AN EXTRACT, TRANSFORM, LOAD PROJECT centralising our data from dozens of spreadsheets into a single CRM. They have also helped out with various projects involving Mailchimp, Google Sheets and other services. They are who I turn to anytime I have a tricky data problem, and I highly recommend them!

Niel Bowerman

AI Policy Specialist

IT WAS A PLEASURE TO WORK WITH AJA DATA LAB, they are deep thinkers who greatly advised our data strategy. They devised technical solutions to our business problems, developed those solutions and delivered them on time.

Patrick Morselli

VP, New Ventures & Data Strategy