Background

Data Analytics

At Sukra, we are passionate about unraveling the hidden potential of data and transforming it into actionable insights that empower businesses to make informed decisions. With a team of seasoned data analysts, skilled data scientists, and cutting-edge technology, we offer a comprehensive suite of data analytics services tailored to meet the unique needs of each client. Whether you’re a startup seeking growth strategies or an established enterprise aiming to optimize operations, our data-driven solutions will unlock the untapped value within your data, driving innovation and propelling your business towards unprecedented heights..

Our Data Analytics Solutions For Different Domains

Financial Analytics
  • Monitoring revenue, expenses and profitability of a company.
  • Profitability analysis and financial
  • Performance management.
  • Budget planning, formulating long-term business plans.
  • Financial risk forecasting and management.
Customer Analytics
  • Customer behavior analysis and predictive modeling.
  • Customer segmentation for tailored sales and marketing campaigns.
  • Personalized cross-selling and upselling offers for extended customer lifetime value.
  • Predicting customer attrition and customer churn risk management.
  • Customer sentiment analysis.
Sales & Product Analytics
  • Sales channel analytics.
  • Pricing analytics to design pricing strategies.
  • Identifying and predicting sales trends.
  • Conducting product performance analysis.
  • Tracking customer interactions with a product to identify pain points leading to churn.
  • Conducting competitor benchmarking.
Asset Analytics
  • Real-time asset monitoring and tracking.
  • Predictive and preventive maintenance, developing asset maintenance strategies.
  • Planning asset investments.
  • Asset usage analytics, planning and scheduling asset modernization / replacement / disposal strategies.
HR Analytics
  • Employee/department performance monitoring and analysis.
  • Employee experience and satisfaction analysis.
  • Employee retention strategy optimization and management.
  • Employee hiring strategy analysis and optimization.
  • Labor cost analytics.
Manufacturing Analytics
  • Overall equipment effectiveness analysis and optimization.
  • Manufacturing process quality optimization.
  • Equipment maintenance scheduling.
  • Power consumption forecasting and optimization.
  • Production loss root cause analysis.
Supply Chain Analytics
  • Identifying demand drivers, consumer demand forecasting and planning.
  • Supplier performance monitoring and evaluation.
  • Predictive route optimization.
  • Determining the optimal level of inventory to meet the demand and prevent stockouts, inventory planning and management.
  • Identifying patterns and trends throughout the supply chain for enhanced supply chain risks management.
Retail Analytics
  • Retail business performance analysis, monitoring sales and profitability.
  • Demand analysis and forecasting.
  • Multi-echelon inventory optimization.
  • Assortment and merchandising planning and optimization.
  • Data-driven recommendations on optimal product promotion activities.

Our Service Approaches

There are several service approaches to data analytics that Sukra adopts based on our expertise and the needs of their clients. Here are some common service approaches:

Ad-hoc Analysis

Delivering one-time or occasional data analysis services depending on client requests or projects.

Managed Analytics

Offering continuous data analytics services, where the company takes care of data collection, analysis, and reporting regularly.

Self-Service Analytics

Empowering clients with the tools and training necessary to do their own data analysis and gain insights independently.

Predictive Modeling

Developing and deploying machine learning models to predict future trends, behaviors, or outcomes based on historical data.

Data Visualization

Building visually appealing and interactive dashboards and customizable reports to help clients easily comprehend complex data insights.

Big Data Solutions

Assisting clients in managing and analyzing large-scale datasets that overwhelms the capacity of traditional data analysis tools.

Industry Specific Analytics

Customizing data analytics services for meeting the unique needs and challenges of specific industries, such as healthcare, finance, marketing, etc.​

Data Strategy Consulting

Collaborating with clients to develop a comprehensive data strategy that aligns with their business goals and objectives.

Data Governance & Security

Ensuring data is handled carefully and securely, complying with appropriate regulations and privacy requirements.

Real-time Analytics

Providing solutions that enable clients to analyze streaming data and make timely decisions in dynamic environments.

These approaches can be combined or adapted based on the specific requirements and goals of each data analytics project or client engagement. At Sukra, we understand that the key is to understand the client’s needs and tailor the approach accordingly to derive the most value from data.

  • Assessment of present data capabilities
  • Data policy analysis
  • Data collection and data design assessment
  • Data quality assessment

  • ETL/ELT design & implementation
  • Data strategy design & implementation
  • Custom analytics development
  • Infrastructure, process, and systems optimization to boost performance

  • Intuitive dashboards and reports creation for analysis
  • Division-wise reports based on algorithm and analytics

  • End-to-end business operations and value chain analytics
  • Logistics & marketing analytics, dynamic pricing models, OEE, etc.
  • Explore digital modernization possibilities
  • Transform analytics into business value formation
...

Our Capabilities

Data Analysis & Visualization

Assisting organisations with data analysis and interpretation using various statistical methodologies and presenting insights in a visually appealing way.

Data Mining

Utilising statistical and machine learning techniques to extract useful patterns and data from big datasets.

Business Intelligence

Building dashboards and reports that provide real-time or periodic insights into key performance indicators (KPIs) and business metrics.

Predictive Analytics

Predicting about future trends or outcomes, often involving machine learning models using historical data.

Data Warehousing

Designing and maintaining databases to store and organize large volumes of data for analysis purposes.

Data Cleaning & Preparation

Ensuring data quality by cleaning, transforming, and preparing data for analysis.

Data Consulting

Offering professional advice on data-related strategies, technologies, and best practices.

Big Data Analytics

Dealing with massive datasets to identify patterns and insights that are not possible with traditional data analysis tools.

Sentiment Analysis

Understand sentiment or opinions by analysing text data through natural language processing (NLP).

Real-time Analytics

Providing insights on streaming data to enable immediate decision-making.



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