Data Science

Data Engineering is the bedrock to the ecosystem of data science and analytics that powers business decision-making. Team of data architects, system and data engineers, AI/ML experts, DevOps professionals build data extraction platforms, data lakes & warehouses, business intelligence platforms, and operational data schemas to extract and collate information from all sources (structured, unstructured, public or private, open source or proprietary).

We have successfully implemented data platforms across industries and across geographies and also integrate data platforms across financial modules, databases, cloud storage, ERP Accounting Software and CRMs. We are agnostic to the cloud environment.

Advanced Analytics augment business decision-makers with predictive models, visualization tools and management decision dashboards. Our team of data scientists, industry experts and visualizers use pre-screened, validated and harmonized data – sourced from data platforms built by our data science consulting experts – to run predictive or forecasting models.

Using Python or R languages, we conduct permutations & combinations of over 50 models and perform test and control studies to recommend the right predictive model for client requirements.

Krixi builds real-time, interactive dashboards on PowerBI, Tableau, Qlik, Sisense & more on validated & harmonized data, extracted from the existing Warehouse or ODS, to help business leaders across global industries to make smarter and effective decisions.

Designing Machine Learning models from scratch is what Krixi’s data scientists excel at.
Our functional SMEs, data scientists and data modelers have experience in building complex forecasting models across multiple cloud environments.
We have successfully deployed simple regression models to complex multi-variate gradient boost models at retailers, consumer good companies, banks, insurance companies across the globe.

• Cloud Infrastructure & Services
• AI/ML & Integration
• ETL & Data Extraction
• Predictive Modelling
• People Analytics
• Data Engineering
• Resource Augmentation
• Sales & Marketing Analytics
• Consumer Analytics & Competitive Benchmarking
• Supply Chain & Ops Analytics
• Interactive Real-Time Dashboards

Krixi analysts regularly design data governance frameworks for our enterprise clients.
We are well versed with global compliance norms and protocols like GDPR, CCPA, PII, etc.
We also educate our clients on the risk and security standards and train their teams to stay compliant at all times.

We have observed that Enterprises that implement large scale data projects are fairly successful in designing and transitioning them but fail to ensure its seamless adoption at grass root levels.
This is where a solid, seamless, scalable data culture comes in place. Krixi helps design and implement the data culture right from the data engineers to modelers to evangelists to a CXO level data ambassador.
We build adoption strategies, operating models and balance scorecards to ensure sustainability and scalability of the data tools within the enterprise.