We are surrounded by data, but starved for insights
Our Services
Data Strategy
We focus on providing an Analytics Maturity Assessment as a starting point following our initial conversation.
Our goal is to help you tackle the Data Life Cycle issues and tricks with an unbiased point of view. Tools, Analytical Techniques, Collaboration, Auditing and Data Governance are some of the issues we address.
Data Engineering
We are experts in Data Modelling and Data Architecture, Data Quality Assessment, Metadata Management, and Business Rules Definition Modules are the core of our approach.
We have extensive experience in implementing Data & Analytics Solutions using the following platforms: Microsoft SQLServer, Oracle DB, Snowflake, Big Query, either with custom-developed ELT or making use of Data Integration Tools.
Data Culture
We strongly believe that a BI & Analytics project does not have an end - your business grows, the systems evolve, and so should the way you look at it.
We will help you build or strengthen the analytical culture of your organization either with the training of your specialized staff or by shadowing your teams with our highly experienced consultants.
Data Delivery
By visualizing information, we turn it into a landscape that you can explore with your eyes, a sort of information map. And when you’re lost in information, an information map is kind of useful. From the power of Excel spreadsheets connected to the Datawarehouse, to PowerBI, Qliksense, Looker, Thoughtspot or Go-Ready's EasyScore, we have done them all. We will help you choose the ones that best suit your need.
We ensure the deployment of a Single Source of Truth for your organizaton
In complex digital ecosystems, there are many ways of gathering information that fuels the neverending spreadsheets with countless layers of aggregation. Without a proper Data Strategy that leverages Data Proficiency in users and delivers Data using a proper unambiguous Semantic Layer, the task of validating data and producing bulletproof reports and accurate KPIs is extremely difficult. We ensure the use of fully automated data loading supported by Data Quality and Metadata Management techniques, topped by the ability to trace KPIs calculations back to the source systems with Data Lineage.