We start with helping you in gathering information from data scrapes, web servers, Logs, Databases, API’s and online repositories. Basically, finding the right data is the first step .
Data Cleaning is where we deal with inconsistent data types, values and attributes and in Data Transformation, modifies the data based on defined mapping rules.
Exploratory Data Analysis helps to understand what can we do with the data. This defines and refines the selection of feature variables that will be used in the model development.
We benchmark and choose the best fitting ML algorithms for your business requirements. With the help of Amazon Sage Maker and Databricks MLFlow we were able to prepare, build, train/tune and deploy high-quality machine learning models quickly.
Visualisation and Communication, provides you with the business insights in simple and effective manner
HiFX DataOps capabilities help create a business-ready analytics foundation by providing market-leading technology that works together with AI-enabled automation, infused governance, data protection, and a powerful knowledge catalog to operationalize continuous, high-quality data across the business. These capabilities help increase efficiency, data quality, findability and governing rules in order to provide a self-service data pipeline to the right people at the right time from any source. From solutions that facilitate governing data lakes to application development to ensuring regulatory compliance, HiFX DataOps quickly and responsibly puts increased performance and business innovation within reach because you know, trust and use your data.
Our scalable data collection infrastructure collects, enhances and streams real-time data to your warehouse in less than a minute. Our streaming data pipeline consists of:-
As user driven events arrive, we automatically enrich them, adding attributes like device type, geographic region among others. We deliver the enriched events in real-time to a well governed data lake.
You can use the raw data in the data lake or integrate them with Redshift, Druid, Elastic Search or other tools using our open source recipes. You now own a clean, structured, first-party data source that your team can analyse directly.
Our Data Lake as a service enables organizations to define, design, and develop the capabilities of dealing with data of any size, shape and speed. We help our clients empower their developers, data scientists and analysts with the right tools to leverage petabytes of data.Our Data Lakes offering helps you with:
Our data analytics practice is built on our proven expertise in designing and developing scalable data pipelines, data lakes, recommendation engines, predictive analytics and custom reporting. Various business units in organisations are already benefiting our data analytics practice.