Data Science Consulting Services

Absolutely no prerequisites are required. We start our consultation with a detailed Data Discovery workshop to assess all your data needs and provide Advanced Analytics Solutions. We will always be in contact with you throughout to give personalized services.

Advanced analytics is the umbrella term that refers to the high-level techniques, algorithms, and tools that can help you get the maximum benefit from your data. You can forecast events and trends, perform semantic & graph analysis, cluster analysis, multivariate analysis, simulation, neural networks and so much more.

With advanced analytics, you can understand customer preferences, compare your past sales, understand trends, reduce wastage, manage inventory, plan workforce, etc. much more effectively.

Any organization that is looking to bring insights & outcomes from your big data, can have a data science project implementation. With Data science businesses can not only make strategic decisions but also optimize their resources for the same. The project can be about descriptive, diagnostic, predictive, and prescriptive analytics or for use cases like NLP, Sentiment Analytics, Trade Promotion Analytics, Customer Analytics, etc.

Advanced analytics is a broad term that includes Machine Learning, Artificial Intelligence, Data Mining, Sentiment Analysis, Network Analysis, and so much more. Artificial Intelligence is a part of Advanced analytics, which is used when you want a machine’s capability to produce rational behavior. Some examples of AI include Voice Assistants, search prediction, etc.

Our range of services includes Descriptive, Diagnostic, Predictive, Prescriptive, Cognitive, and Deep Analytics to help you find hidden patterns in the massive amounts of data generated by your organizations.

With our data discovery workshop, we perform a detailed analysis of your existing data, technologies, and data maturity situation in detail, after which we give the timeline for your advanced analytics project. This would depend on all the details we take from you and the scope of your project requirements, the team required by you, chosen technologies and platforms, and the complexity of the project combined with the data availability for the same.

One of the major challenges for the implementation of a data science project is the quality of data. For some organizations, cleaning and preparation of data to improve its quality is a challenge. Other challenges include: Handling multiple data sources of various data types, transitioning to the cloud, disconnected communication between technical and business users, etc.

Data Science and Advanced analytics projects are inherently complex because it requires knowledge of algorithms, tools, methodologies, and extensive expertise. Most organizations lack the in-house expertise to do this.

Outsourcing data science projects gives you access to top talent, specialized tools, the scope for scalability & to fast-track in-house analytics, maintenance of data sanctity and security, and professional data management.