Business Analytics

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BUSINESS ANALYTICS OFFER

Translate data into information.

Business Need:

Manage data includes the collection, validation, storage, protection, and data processing to ensure availability, reliability, and accuracy of data for users
Reporting includes handling and managing the process of organizing data in presentation layers (charts and tables) through pre-defined data pipelines
Advanced Reporting as handling and managing the process of reviewing, cleansing, transforming and modeling data using Machine learning and Neural network algorithms, with the goal of discovering useful information, presenting conclusions, and supporting decision-making
Analytic Overflow includes engaging our team per project or per hour

IMPROVED DECISION MAKING
The business makes better decisions and enjoy the improved efficiency, customer satisfaction, and increased profit and revenue levels with right and structured data
COST OPTIMIZATION
Data can provide visibility and direction around supply chain activities, employee turnover or operation capacity

BUSINESS PREDICTION
Prediction on possible business outcomes based on statistical models, Machine Learning and Neural Networks
SAVINGS
Use our Business Analytics know-how and allocate your resources towards core business

Data mapping – the process of mapping data between multiple sources (excel, databases, external sources, etc.)
ETL – Extract, Transform and Load Data – used to mix data from multiple sources. During the process, data is taken from the source system, converted (transformed) into a format that can be analyzed and stored into a data warehouse or other system
Data Cleansing – ensures that your data are structured, formatted and ready for further analysis
Database and data warehouse design – Data warehouse is a repository for all data collected by a different company operating systems, whether physical or logical. Data storage accentuates the capture of data from different sources for access and analysis

Descriptive Analytics – An analysis of past (or historical) data to understand trends and metrics estimation over time. It describes or summarizes raw data and makes it interpretive and provides an insight into the past
Presentation of data / BI – Presentation of data through interactive and easily readable reports

Standard reporting
Diagnostic Analytics – A form of advanced analytics that examines data or content to answer the question “Why did something happen?” – is characterized by techniques such as data detection, data mining, and correlation
Predictive Analytics – the use of historical and external data (eg. from social networks) to anticipate some future activity or behavior and trend. It involves the application of statistical methods of Machine learning and/or the use of Neural networks.
Data-based Counseling – Support in setting up a strategy and developing guidelines for leaders to acquire and exploit data