Data is one of the key aspects for any kind of business and considered as an asset in this digital era. Data may vary according to the business activity but remains an integral part for every business activity. Growth in the field of technology, specifically in smartphones has led to text, video, and audio is included under data plus the web and log activity records as well. Most of this data is unstructured.
The term Big Data is used in the data definition to describe the data that is in the petabyte range or higher. Big Data is also described as 5Vs: variety, volume, value, veracity, and velocity. Nowadays, web-based eCommerce has spread vastly, business models based on Big Data have evolved, and they treat data as an asset itself. And there are many benefits of Big Data as well, such as reduced costs, enhanced efficiency, enhanced sales, etc.
The meaning of data expands beyond the processing of data in computing applications. When it comes to what data science is, a body made of facts is called data science. Accordingly, finance, demographics, health, and marketing also have different meanings of data, which ultimately make up different answers for what is data.
Tame your BIG DATA through robust solutions that empower data collection, storage, processing and analysis. BIG DATA services help companies maximize value and achieve business goals with big data analysis. Since 2013, Digital Growth India has been rendering a full range of big data services, including consulting, implementation, support and big data as a service to help clients benefit from the big data environment.
Our Services
Big data consulting
- Big data implementation/evolution strategies and detailed roadmaps.
- Recommendations on data quality management.
- Big data solution architecture + an outline of an optimal technology stack.
- User adoption strategies.
- A proof of concept (for complex projects).
Big data implementation
- Big data needs analysis.
- Big data solution architecture and design.
- Big data solution development (a data lake, DWH, ETL/ELT setup, data analysis (SQL and NoSQL), big data reporting and dashboarding).
- Setup of big data governance procedures (big data quality, security, etc.)
- ML models development.
Big data support
- Big data solution administration.
- Big data software updating.
- Adding new users and handling permissions.
- Big data management
- Big data cleaning.
- Big data backup and recovery.
- Big data solution health checks.
- Big data solution performance monitoring and troubleshooting.
Big data managed analytics services
- Big data solution infrastructure setup and support.
- Big data extraction and management.
- ML model development and tuning.
- Predefined and ad hoc reports (within several weeks after our cooperation starts).
- Big data solution evolution
Solutions we offer
Enterprise big data warehouse
- Storage of financial, resource, process, market and customer data
- Revenue, cost and investment analytics
- Performance analytics
- Prediction, forecasting, planning with all interdependencies
Operational analytics
- Storage of standards, policies and norms, asset data, employee roles and capabilities, plans, schedules, transactional data, process data, measurements
- Deviations and undesirable patterns detection
- Cause-effect analysis, bottleneck recognition
- Performance prediction and forecasting. What-if analysis
- Benchmarking
Customer analytics
- Storage of demographic, transactional, interaction, online and offline data
- Customer segmentation, customer models
- Prediction of buying behavior, risks and churn
- Personalized marketing, product recommendations, discounts, conditions
Risk management
- Storage of all data on assets and liabilities
- Risk aggregation
- Credit risk assessment
- Counterparty risk analytics
- Liquidity risk assessment
Fraud detection
- Storage of demographic, transactional, behavioral and social data about customers and policyholders
- Normal behavior models
- Fraud models
- Fraud detection in cash transactions, check tampering, claims
Customer behavior analysis
- Storage of demographic, transactional, interaction and online/in-app data
- Customer segmentation
- Prediction of behavior, risks and churn
- Recommendations of the most relevant products
Predictive maintenance
- Equipment sensor and maintenance data storage
- Predictive failure models
- Failure prediction in soft real time
Condition monitoring
- Storage of equipment sensor data and output quality data.
- Predictive quality models
- Prediction of defects or reduced yield
Supply chain management
- Storage of data on suppliers, costs, inventory, demand
- Demand/supply balancing
- Supply chain cost modeling and optimization
- Supplier risk estimation
Asset tracking & monitoring
- Location, state (sensor readings) and usage data storage
- Classification models
- Alerting and reports on mislocation, misuse, underutilization, prefailure condition
Fleet management
- Fleet location, speed and fuel data storage
- Classification models
- Reports on fleet efficiency and utilization, driver behavior, policy compliance, maintenance needs
Network management & optimization
- Storage of data on network elements, their load, service level and failures
- Service quality assessment
- Demand and needed capacity forecasts
- Value-based network capacity planning