"The goal is to turn data into information, and information into insight." - Carly Fiorina
Data and fact-driven approaches help increase the overall accuracy of decision-making. Having the necessary tools to process data swiftly allows decision-making at the right time. Data volume is currently exploding beyond anyone’s expectations and here are some facts suggesting that –
Considering the rate at which digital information is being generated from various sources (Mobile, Internet of things, social media), there is a strong need for innovative and effective ways to analyze data. There is the added challenge of analyzing a combination of big data and enterprise data. In order to achieve the desired effectiveness, this Innovation will need not only the brightest minds with the process expertise but also the support of the right software solution.
Here are some use cases for bringing Enterprise data and Hadoop Data together -
The success of a new product can be ensured with the correct data, right at the time of idea selection. Information about economic factors, market indicators, competitors along with other factors helps generate a pattern to indicate the right ideas for the market. Monitoring customer sentiments can increase the overall chances of success. A software solution presenting a platform to generate reports leveraging product ideas from the enterprise system along with indicators from Hadoop is the need of the hour.
To prevent fraud before it occurs, make DATA your best friend. There are multiple sources such as firewalls, system authentication, bank transactions, payment, unstructured system data, log files, security systems that provide evidence of fraud. This is definitely a significant chunk of data. Bringing the enterprise and Hadoop data together for reporting can help create patterns to proactively trace and identify fraudulent activities.
There are many more use cases in addition to these pertinent to the world of High Tech, Manufacturing, Healthcare, Finance, and Security
The selection of the right solutions for the aforementioned scenarios depends on the 3 V’s of data: Volume, Velocity, and Variety. SAP aims to focus on big data by providing insight with HANA Vora. This enables OLAP analysis of Hadoop data while giving developers the option of bringing the right contextual information, by combining Business transaction data and Hadoop data.
Capabilities of HANA Vora include:
In conclusion, SAP HANA Vora successfully bridges the gap between Enterprise and Hadoop data by bringing together highly distributed enterprise data framework.