Data Analytics

Key Modules

Get a tailored scorecard evaluating your data maturity in a standardized way. We will also develop a 90-day data strategy roadmap to transform your business into a data-driven enterprise, up to and including advanced analytics such as MMM, predictive analytics and model-based optimization in line with your goals. Based on your data readiness, we can start with creating a full-fledged data solution on a greenfield, improve and extend you current data warehouse, or consult the interpretations and predictions you draw from your data.

When a company starts tracking data, each department typically tracks – and reports – as its own data silo. We will transform your Excel sheets into a consolidated and polished structure. We will set up cloud-based Data Warehouse in modern infrastructure, splitting into dedicated Data Marts so that the same departments can continue to consume only the data relevant for their operations. Storing data that everyone can trust – governed, integrated, and reliable. Connects natively to your existing infra, be it Azure, BigQuery, Snowflake or others.

Our cutting-edge Data Warehouse will be equipped with ETL pipelines to automatically extract and transform data from your sources. These pipelines will be hooked to observability tooling and automatic alerting, ensuring that issues are detected before they impact business decisions and giving you real-time visibility into performance and reliability. If a job fails, a pipeline slows down, or critical data does not arrive as expected, automated alerts are triggered immediately, notifying the right people through your preferred channels.

Setup your dashboards and important KPIs in context of everyone's needs to kickstart data-driven decision making. Tell the whole story with natural visuals in Looker Studio, Power BI or others. Have acquisition funnel, marketing analytics, and commercial overview all in one place. Identification of bottlenecks in your operations has never been easier. At this stage, your data are sorted, arranged, visually presented and ready to be used.

The hardest, but most rewarding step – feeding the data we have consolidated into advanced analytical models. Using tools such as revenue forecasting, uplift modeling, MMM, CLV, and recommendation systems, we are able to not only visualize, but explain and forecast trends in virtually any metric important for the enterprise. Furthermore, being numerical, they work with much less contextual bias than a human could, and can also be run automatically on new data without additional supervision, resulting in much shorter feedback cycles. Whether your goal is reduction of drop-out rates on a given screen or improving efficiency of marketing spend, these methods can identify inefficiencies with great accuracy.

“Without data, it is an opinion. With data, it is a qualified decision.”- W. Edwards Deming, adapted

Tech Stack

Python

GA4

Smartlook

Hotjar

Azure

Azure Databricks

Azure Data Factory

BigQuery

Snowflake

Supabase

Elasticsearch

OpenTelemetry

Airflow

Looker Studio

Power BI

Seaborn

Matplotlib

Keras

TensorFlow

PyTorch

scikit-learn

statsmodels

MMM

And more...

How does it work?

Meet TRIBASE Net, discuss your needs and receive an offer tailored just for you (free of charge).

W1-2

We will evaluate your data maturity, map the data processes, inspect the infrastructure and draft a strategy to get the most of your data.

W3-6

You will get a Single Source of Truth, filled with data that are reliable and ready to use by departments.

W7+

Your visibility into the data increases with growing dashboards and visuals. Data flows are consistent and observable. Unlock the power of your data through advanced data analytics solutions and numerical models.