Global 
United States 
Data Science & Analytics Solutions
Leverage Data Science Services for Better-Informed Business Decisions
At KritiKal, we provide a wide range of data analytics services such as customer analytics, marketing analytics, sales analytics, and much more. Organizations generate an enormous amount of structured and unstructured data through their systems, and we assist them in managing, analyzing, and extracting intelligence from these data and defining growth strategies.
As one of the top data analytics companies, we accurately decode data and help companies in making informed decisions with reduced market risks. We enable businesses to leverage the power of data analytics to develop smarter products and automate business operations. Covering both web and mobile applications, data analytics consulting services can help you extract intelligence and insights from data such as images, videos, audio, text, etc. and enable suitable actions.
Service Offerings
Big Data Analytics / Data mining / Predictive Modeling
Data mining through machine learning based predictive modeling; sentiment analysis; text mining; and social media analytics. We also provide innovation consulting, research, feasibility, estimation, data preparation and modeling services and solutions.
Data Visualization / Reporting & Dashboards
Developing custom reporting interfaces and dashboards; data visualization; drill down reporting; deploying and setting up visualization tools like Tableau and Spotfire. We also provide data analytics consulting services for hardware and software infrastructure setup for data visualization.
Operations Support
The KritiKal Team takes pride in providing end-to-end data analytics services and support, from co-ideating a solution with you to providing post-deployment support. We meticulously test and deploy our data analytics solutions and provide evolution and upgrade services.
Business Intelligence & Automation
We provide data science consulting services ranging from data management solutions to advanced reporting and analytics. We can help you turn raw unstructured data related to transactions, internet interactions, customer care operations and other business processes into a source of powerful insights through our BI services.
How Data Science Services & Analytics
Support Real Business Needs
Business Automation
Data-driven Approach
Improved Productivity
Community Tools Supported
As one of the top tier data science companies, analytics and business intelligence practice at KritiKal comprises of experts who have worked on various open source and proprietary business intelligence tools, some of which are outlined below:
RDBMS
NoSQL
RDBMS
Big Data
ETL
Document & Data Processors
Data Analytics Use Cases
Financial Analytics
Supply Chain Analytics
Sales Analytics
Retail Analytics
Customer Analytics
Healthcare Analytics
FAQs
Data analytics companies assist businesses in better decision making, thus improving overall outcomes and operations. These organizations collect, process and analyze large sales and other datasets to gain and convey insights, trends and patterns by using various tools such as predictive analytics, machine learning, business intelligence solutions and data visualization.
Data science companies can provide consultations to businesses in terms of process transformation, problem identification, environmental assessment, business operations and data trends that may affect their macro, micro, cyclical or real-time decisions and revenue.
Depending on the amount, type of data to be assessed, expertise of analysts involved, customized outcomes, visualization parameters etc. the overall cost of data science services may vary, which can be discussed further with us.
Data analytics services often include sophisticated solutions based on highly advanced technologies and compliances such as AI/ML, Big Data, cloud-based, predictive and automated analytics, data governance, monetization and integrity, NLP, edge computing, augmented data management, Blockchain and more.
The timeline for completion of any analytics related project undertaken by data science companies varies between weeks to months depending upon data complexity, size, processing time, cleanup requirement etc. which may also alter on the basis of availability of advanced technologies.
