Big Data: Data-driven decision making
Big Data is about unlocking the deep intelligence present in your company’s myriad data sources and transactions. It includes detailed web server logs, micro-transactions at point-of-sale, sentiment expressed in social media and blogosphere about your products and company, automated sensing data via probes, and so on. Until now such data has been off-limits for analysis because of its sheer size, unstructured format and lack of computing tools to handle such complexity and size. However, availability of massively scalable commodity computing frameworks and advanced analytical tools has now made it possible to transform deep data insights into competitive business advantage.
Typical application of Big Data Analytics include understanding customer behavior, identifying new product possibilities, responding to negative or positive sentiment, on-demand promotional offering capability, etc.
What is Big Data?
Data processing and analysis has been Macrosoft’s forte from our very beginning. Whether it was customer segmentation for promotional marketing and campaigns, market-share analysis, time-series analysis, analyzing customer behavior, pricing optimization, we have delivered solutions for large and medium-sized clients for last twenty years. Big Data technologies augment our data management and analysis expertise many folds. Further availability of more advanced tools creates a much richer set of analytics outputs, directly enabling intelligent business decision-making. The pace of data generation is accelerating at a non-linear scale. Industry research shows that about 2.5 Exabytes (one Exabyte=a billion GB) of data is created every day, with the number doubling in about every forty months.
Macrosoft Big Data services can help organizations to:
- Develop a roadmap of recommendations and actionable insights with analytics
- Integrate variety of data, both structured and unstructured to work with most of existing investments
- Supports taking timelier and intelligent decisions for the organization through advanced analytics reports and dashboard solutions
- Provide accurate responses to opportunities and risks by translating enterprise information into analytics and actionable insights
- Determine a consistent set of metrics to analyze, monitor and forecast business performance
- Connecting people across the organization with the right information they need for work and thus increase each individuals productivity
Bigdata Platforms and Tools Supported
NoSQL Platforms Supported
- Apache HBase
- Cassandra – Apache
- Oracle NoSQL Database
Cloud Compute Platforms
- Amazon AWS
- RackSpace OpenCloud
- Crystal Reports
- Oracle Hyperion
- Pentaho Kettle
- Ab Initio
Unstructured Data Sources
- Text Files (fixed, csv)
- EDI Files
OS Environments Supported
- Mac OS
Database Platforms Supported
- Teradata/Aster Data
- SQL Server
BIG DATA Expert Interview Series
How to tame unruly data
In traditional frameworks, it is hard to organize large volumes of data, so people refer Big Data as unruly. Dr. Demirhan Yenigan, Big Data Expert and Professor of Analytics at GWU shares his views on how to tame Big Data that is generated in large volumes and speed. New tools are leveraged these days to capture, mine, and perform statistical analysis on large volumes of unruly data for generating worthy output.
How to tease the wisdom out of Big Data
Big Data spans a whole lot of information, but these information doesn’t provide wisdom. So what analytics are used to tease wisdom out of Big Data? Dr. Demirhan Yenigan, Big Data Expert and Professor of Analytics at GWU talks about the different layers of types of analytic methods for analyzing mass amount of Big Data. He mentions about the traditional aspects of measuring factual information or descriptive analytics and talks about Predictive/Prescriptive analytics methods that are more sophisticated as it involves stochastic optimization and reporting.
Characteristics of big data
When you talk about analytics, “Big Data” is the buzz word as there is a lot of hype about it. So what exactly is Big Data and what characterizes Big Data? According to Dr. Demirhan Yenigan, Big Data Expert and Professor of Analytics at GWU, Big Data generates a lot of electronic data from the Internet connected through plethora of sources. The totality of all data collected from various sources and velocities makes Big Data huge. Although these large volumes of data may be unstructured, it is important to collect it methodically to make wisdom out of it.
How can companies benefit from big data
Dr. Demirhan Yenigan, Big Data Expert and Professor of Analytics at GWU, share his views on how Companies benefit from Big Data in order to succeed in business. Big Data Analytics is definitely going to be a big part of each businesses mission as they have to use it to stay competitive in the current environment. Analytics aptitude of companies is significant as it helps in making strategic decisions out of Big Data.
How can small companies get started on big data
Dr. Demirhan Yenigan, Big Data Expert and Professor of Analytics at GWU, talks about how can small companies get started on the world of big data. According to him for any company jumping in to the Big Data arena the Executive team of the organization should have a mission to make their organization data centric or data driven when strategies are developed. It is all about creating a culture for making data driven that needs to be endorsed by the top management. Website analytics can kick start this process by tracking all aspects to generate analytics reports.