” Bankhawk Analytics wins the award in the category for ‘Most Transformative’ company at SAPPHIRE NOW 2014 in Orlando. SAPPHIRE NOW is SAP’s annual global event. ” SAP SAPPHIRE NOW 2014
SAP HANA Integration of Bankhawk365
Bankhawk365 helps companies be more competitive and profitable by delivering compelling insights into their banking data. Using Bankhawk365, companies can benchmark and optimize all aspects of their banking, allowing them to reduce their banking costs, reduce bank risk, and improve cash management. Bankhawk365 includes a rich variety of banking analytics modules, such as: Credit Analytics, Debit Analytics, Transaction Costs Analytics, Merchant Card Analytics and Payment and Receipt Analytics.
Bankhawk365 compares a company’s banking against best-practice benchmarks, showing managers how best to optimize their banking structure. With this information, companies can unlock cash trapped in the banking system, reduce banking costs, streamline banking activity, improve the control of cash, and generate large ongoing savings.
- Consolidates banking information from multiple sources
- Identifies cash trapped in the banking system
- Uncovers hidden banking costs
Competitive advantage of SAP technology
The SAP Startup Focus Program has given Bankhawk Analytics a huge boost to its marketing capability. Being associated with a global leading company like SAP gives our brand much more credibility. The people in the Startup Focus Program have provided tremendous marketing support by helping us to find our way around the SAP ecosystem, introducing us to Account Leads and to customers. CFO’s and Finance executives are very interested in what analytics they can use to enhance their role and make their job much easier. When they hear that our Bankhawk365 product is powered by SAP HANA they know our tool has a very powerful engine that can handle very large data sets.
SAP HANA gives Bankhawk365 a competitive advantage by providing a powerful real time platform and through an array of analytical and software development features. HANA provides our applications with fast and responsive data processing that will remain consistently fast irrespective of scale. Its advanced features will provide the support in areas like predictive analytics and geo-spatial analytics. HANA can support our development teams during the software development lifecycle, providing lifecycle management, version control and both client side and server side development tools.
There are two major types of DBMS which IT companies have been using to develop software application. They are Relational or Object-Relational (RDBMS) and Not Only SQL (NoSQL). Both are complementing technologies but also have their limitations. RDBMS databases work well for Operational purpose (OLTP – transactional data and high volumes of read and write operations) , such as ERP, CRM, legacy apps. Some RDBMSs can also handle data warehousing (OLAP) for Analytical purpose, such as Management Information System, Decision Support System, however, processing of these large datasets have been typically very slow. Because of this limitation IT departments have had to look to a newer technology to processes these large datasets and have turned to NoSQL databases. Using databases like Hadoop, MongoDB, Couchbase, Riak, etc. companies have been able analyse structured (traditional table based data) and unstructured (a mix of data formats including tabular, document, etc.) to process these large dataset faster and provide insights that traditional RDBMS systems could not have given. We also had these issues as our analytics needed to provide fast and responsive data processing and aggregations and also provide support for new features in the future without having to use a new technology. The database had to deliver traditional banking transaction-based reporting and analysis, but also be scalable for big data insight analytics. We have used both MySQL and CouchDB in the past in the attempt to solve these requirements; but they could not satisfy our requirements. As an innovative tech company, we are always looking for new technology and discovered SAP HANA. We have added SAP HANA to Bankhawk365 to handle the ‘heavy load’ analytics. Bankhawk365 uses SAP HANA to perform the processing for our analytics modules. In the future we will be able to make our Enterprise solution a native HANA application and take full advantage of all of HANA’s features. We are really pleased with SAP HANA as it supports both transactional and analytical banking analytics well. This provides us with a real competitive advantage! The table below summarizes a comparison of the different database types for our banking analytics modules. It is at the overall measurement level such as size of dataset, speed, scalability, etc.
|Analytics Module||RDBMS Database||NoSQL Database||SAP HANA|
|Credit and Debit||Good||Poor||Good|
|Risk & Forex||OK||OK||Good|
|Payments & Receipts||Poor||OK||Good|
Another competitive advantage of using the SAP HANA platform is that we are able to access many of SAP’s valuable tools for development of banking analytics. Here are a few examples.
- Data Provisioning – Getting banking data into an analytics database is key process of our software. We have spent a lot resources to discover and develop different solutions. We are still not happy about this part. SAP have products that can provide this support, i.e. Financial Services Network (SAP FSN) and NetWeaver. We are currently working on this part and believe by using them we can make data integration process much more powerful. Another very useful SAP product is SAP’s exchange rate service, which is quite informative and helpful for our banking analytics, ex: forex analytics.
- SAPUI5 – SAP HANA platform provides really powerful visualization tools for developing analytics. We are currently using another commercial visualization product in our banking analytics, but are willing to move to SAP’s which we believe it has better interface and flexibility. And still we believe that we can find more other useful tools and products on SAP platform for us to develop banking analytics.