The client is a construction company. They needed to strengthen their AI platform with Business Intelligence.
Our team has enabled fast data collection, analysis, processing, and visualization. We created a BI solution for real-time workflow monitoring which improved KPIs and enhanced the clients’ business processes.
The client develops baby care apps. They wanted to enhance data collection and reporting.
The InData Labs team integrated BI into the client’s existing solution to detect data issues. We’ve also made changes to the client’s reporting system so it could work properly.
The client is a food service company. They asked the InData Labs team to set up outdated datasets migration.
We’ve analyzed the clients’ requirements and helped them migrate to cloud. For now, the clients can visualize data and simplify decision making.
The client works in chemical manufacturing. They were looking for a reliable technology vendor to help with chemical mixture compositions analysis.
The InData Labs team has developed a comprehensive solution for real-time analytics and product analytics.
Modern data architecture is designed to address complex data needs. It’s flexible, scalable, adaptable, and customer-centric, which means it supports a multiplicity of business needs, manages data flow wisely, and continuously evolves to meet new and changing customer information needs.
Data architects are the ones in charge of developing an overall organizational data strategy and designing its data management framework. The specialists in this field identify structural needs, create data models, and specify data standards. Thus, any company searching for a robust data strategy needs a data architect with skills in data analysis, machine learning, and managing large-scale systems with the use of programming languages.
Although both a data scientist and a database scientist work for a joint purpose and their functions overlap, these positions are not interchangeable. A data architect is involved at the outset where they look at a wider use of data and its design planning and establish suitable data models. Then a database architecture comes in to decide on the ways of implementing RDBMS and is responsible for its performance and further optimization.
We cherry-pick the most suitable consultants for your business needs in no time. Our professionals are committed to working out a consistent, reliable, and scalable approach to ensure that you have a comprehensive profitable data strategy and are able to leverage the full value of your data.
A few working days is the usual period required to find a suitable candidate for your goals. So, mostly it’s your goals, their complexity, and the availability of consultants that act as the key factors. As soon as we get to know your request, we make every effort to propose a consultant to you in a prompt manner.