Headquartered in New York City’s iconic Empire State Building, OpTier is fundamentally redefining how businesses collect, store, and analyze transaction data. According to IBM’s 2012 Big Data study, transactions are the largest source of Big Data. Utilizing patented technology transaction-tracing technology, OpTier is able to capture and tag every business transaction across the entire IT infrastructure, much like FedEx tracks packages from origin to destination.
Under the leadership of CEO Mark Thompson, OpTier has made considerable strides in advancing the technology needed to seamlessly capture and analyze transaction data.
Historically, businesses hoping to capture and leverage transaction data were relegated to modifying the applications themselves to log events and data elements. This process, not surprisingly, adds significant overhead to the applications and can be time-consuming and expensive.
"If you have great data, Microsoft Excel is a killer analytics solution," said Thompson. "The point is that businesses don’t even have good data. The data they have doesn’t contain context and is largely siloed. Applications were simply not designed with contextual, transaction data in mind."
OpTier's alternative? Automatically capturing the transaction data in context – across the entire IT spectrum – without having to modify or change the applications.
By deploying lightweight and non-intrusive agents on the application databases, OpTier can capture automatically track transactions as they traverse web, application, middleware, and database tiers, while collecting customer, performance, order, and business context data at each tier.
OpTier's new, transaction-based approach in data analytics ensures that the days of data warehousing, mathematical inferences, painful data sets and algorithmic guess works are bygones. This approach means you no longer have to stitch together imperfect data sets from multiple sources to generate context. OpTier technology allows you to capture a "customer event" and all its corresponding (contextual) data and create a single record which can then be housed in a scalable Big Data store.
More importantly, with transaction data as its foundation, OpTier can expand beyond its traditional APM roots and address important use cases such as Customer Journey, Order-to-Activation, IT Operations Analytics, Fraud Mitigation, Dynamic SLA Management, to name a few.
"OpTier's transaction-based Big Data Analytics circumvents traditional, expensive and time-consuming data warehouses and generates immediate business value," said Thompson. "Since we’re able to collect transactional context straight from the source (the applications), we can help businesses capitalize on a nimble, holistic, and accurate data source to improve application performance, accelerate business growth, and drive customer satisfaction," exclaims Thompson.
With its advanced data capabilities, OpTier has attracted a slew of Fortune 50 enterprises to its roster including Wells Fargo, UBS, Success Factors, Morgan Stanley, First Data, Capgemini, Deutsche Bank, and more.
As the company continues to perfect its approach to transaction data, it's optimistic its multi-use case approach will resonate with high-level business/technical executives looking to address real-world business problems with sophisticated data analytics. The future looks bright for OpTier and transaction data is leading the way!