What is Big Data Analytics?
Big Data Analytics is a field that treats ways to analyze, systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data-processing application software. Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy and data source.
A 2011 McKinsey Global Institute report characterizes the main components and ecosystem of big data as follows:
- Techniques for analyzing data, such as A/B testing, machine learning and natural language processing
- Big data technologies, like business intelligence, cloud computing and databases
- Visualization, such as charts, graphs and other displays of the data
Other term Business intelligence (BI) term which is a technology-driven process for analyzing data and presenting actionable information. It helps corporate executives, business managers and other end users make more informed business decisions.
The basis to build a BI system is data source of many systems. For example ERP software such as Odoo, SAP, etc and other systems such as HRIS with its product namely Workday, Success Factor and many others. All those systems will be extracted, transformed, and then loaded to a centralized datawarehouse for further processing.
What is the Benefit?
Big Data solution will help us understand more on our business characteristics. One of the examples is in retail industry. Through big data solution, we can easily get answers on our customers demographic data age, social status, locations, etc). With such information, it will help management to make decisions on price policy, sales initiatives, marketing campaign, etc.
- Pembangkit Jawa Bali for Executive Information System
- Bukit Asam for Supply Chain & Executive Dashboard
- Kementrian ESDM for Online Monitoring System
- Tunas Finance for Financial Consolidation
On building the Big Data solution for customers, we have been using various technologies from different partners. Some of the partners/tools are Oracle Data Warehouse Builder, Microsoft SSIS, Microsoft Power BI, Pentaho BI, etc.
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