Big data is a combination of structured, semi-structured and unstructured data collected by organizations that can be mined for information and used in predictive modeling and other advanced analytics applications. Big data is often characterized by the 3 categories below:
- the large volume of data in many environments,
- the wide variety of data types stored in big data systems
- the velocity at which the data is generated, collected and processed.
The increasing velocities and varieties of data, data flows are unpredictable, changing often and varying greatly. Data comes from so many different sources, difficult to link, match, cleanse and transform data across systems. Businesses need to connect and correlate relationships, hierarchies and multiple data linkages. Otherwise, their data can quickly spiral out of control.
SunFlex’s solution will provide:
- cost reductions,
- time reductions,
- new product development and optimized offerings,
- smart decision making.
A Data Warehousing (DW) is process for collecting and managing data from varied sources to provide meaningful business insights. A Data warehouse is typically used to connect and analyze business data from heterogeneous sources. The data warehouse is the core of the BI system which is built for data analysis and reporting. Data Warehouse has divided into 3 types as following:
1. Enterprise Data Warehouse:
Enterprise Data Warehouse is a centralized warehouse. It provides decision support service across the enterprise. It offers a unified approach for organizing and representing data. It also provide the ability to classify data according to the subject and give access according to those divisions.
2. Operational Data Store:
In ODS, Data warehouse is refreshed in real time. Hence, it is widely preferred for routine activities like storing records of the Employees.
3. Data Mart:
A data mart is a subset of the data warehouse. It specially designed for a particular line of business, such as sales, finance, sales or finance. In an independent data mart, data can collect directly from sources.
SunFlex’s solution will provide:
- Allows business users to quickly access critical data from some sources all in one place.
- Provides consistent information on various cross-functional activities. It is also supporting ad-hoc reporting and query.
- Helps to integrate many sources of data to reduce stress on the production system.
- Helps to reduce total turnaround time for analysis and reporting.
- Restructuring and Integration make it easier for the user to use for reporting and analysis.
- Allows users to access critical data from the number of sources in a single place. Therefore, it saves user's time of retrieving data from multiple sources.
- Stores a large amount of historical data. This helps users to analyze different time periods and trends to make future predictions.
