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VMblog Expert Interview: Kathy Schneider Explores KX Insights, Real Time Data, the Company's "Secret Sauce", Futures and More


A major new study by The Centre for Economics and Business Research and KX Insights, a real-time data analytics firm, has just quantified the actual dollar value benefit of real time data – and it’s massive. The organizations examined over 1,200 enterprises across 4 sectors and 5 countries to answer the question: Are there tangible, identifiable economic benefits from the use of real-time analytics?

To learn more about their findings, the company, and the challenges companies face today in implementing streaming real time data, VMblog spoke with Kathy Schneider, Chief Marketing Officer at KX.

VMblog:  What is KX? What do you do and who do you compete against?

Kathy Schneider:  KX Insights is the world's fastest data management streaming analytics platform, which can ingest, manage, analyze and visualize both real-time and historic data regardless of where it sits across an organization. This gives customers the ability to make faster, better informed in-the-moment decisions, delivering rapid ROI and measurable business value. 

More and more enterprises today are recognizing the role that real time data can play in generating tangible business value, which puts them at a competitive advantage.  This can be through increasing revenues, improving customer satisfaction, driving operational efficiency and enhancing profitability, to name a few. 

VMblog:  Who are your customers?  What value do you deliver to them, and what are they saying about your solution?

Schneider:  KX is well established in the financial services industry, where we help 39 of the world's 40 largest global banks address the most demanding data-dependent use cases in trading analytics and fraud detection. We're also serving a rapidly growing range of non-financial industries, like manufacturing, automotive, telecom, utilities and even F1 racing. Regardless of sector, all businesses are grappling with the ever-expanding volume and types of streaming data in real time. Businesses are turning to KX to help them understand and use this data to inform critical decisions where speed and latency matter.

Some of the ways we deliver value include: Revenue growth from increased trading capacity while meeting compliance and regulatory requirements; Reduction of financial risk; and Increased machine uptime to ensure revenues. We have just concluded a study with analyst firm Forrester which shows organizations implementing KX can expect to see more than 300% ROI and a payback in less than six months.

VMblog:  What makes KX different competitively? What's your "secret sauce"? What are some primary differences between KX and your competitors in terms of user experience?

Schneider:  At the heart of our KX technology is our kdb+ time series database, which is benchmarked to deliver unmatched speed at scale while requiring a uniquely light hardware footprint. In addition, our unified platform is able to ingest and process vast amounts of stored data from across an organization and enrich that with real-time streaming data, delivering more robust and informed insights to drive decisions. This ability to analyze real-time data and contextualize it with historical data - conducted in microseconds for businesses with extreme latency requirements -  sets us apart from the competition.

VMblog:  What's the biggest challenge companies are facing today in implementing streaming real time data?

Schneider:  Many companies have invested in storing vast amounts of data, so for them finding actionable insights requires backwards-looking analytics and predictive modelling. However, the architecture for managing and utilizing big data is not the same as for what we call ‘fast data', where the ingestion and analysis is happening in real time, often in microseconds. Subsequently, as companies recognize the importance of real time data, they are finding that their data management architecture isn't capable of keeping pace. This is the opportunity for KX.

VMblog:  What sectors receive the most benefit from real time data? Being in 39 of the world's 40 largest global banks, is KX exclusively for the financial services or is it any data intensive industry?

Schneider:  Digital transformation has affected almost all industries, making data central to how businesses operate. External and internal digital interactions drive continuous streams of data; and all of that data has a time element. Financial services was quick to recognize the opportunity of leveraging data to drive faster decisions; now we see businesses across many industries also seeking to capture, manage and analyze incredibly large volumes of data in real time, and apply insights to improve business outcomes.

VMblog:  KX recently announced new research around speed to business value. What exactly is speed to business value, and what does it have to do with KX?

Schneider:  We recently commissioned a piece of independent research with economic forecasting organization the Centre for Economics and Business Research (CEBR), called Speed to Business Value. This new report shows the tangible, commercial value of real-time data, and highlights the opportunities for further gains companies are leaving on the table. For example, 80% of companies surveyed have seen their revenues increase from using real time data. Virtually all (98%) are reporting increased customer satisfaction, and 60% see major efficiency and productivity improvements.

Incredibly, real-time data analytics was found to account for $2.6 billion in revenue uplift.

VMblog:  What have been some of the challenges of widening your platform beyond kdb to Python and other more accessible formats?

Schneider:  KX, and the kdb+ time series database at its core, have a strong reputation based on years of proven leadership in the most data-intensive use cases. To make our platform more accessible to a broader range of developers and data scientists, our latest release of the KX Insights platform now makes it easy for Python developers and data scientists to leverage best-in-class performance through a truly Python-first interface called PyKX. Additionally, OpenAPI allows KX Insights to work seamlessly with an extensive range of environments and languages, enabling more developers to harness the power of real-time analytics. Finally, ANSI SQL and PostgreSQL Support allow an even wider audience to leverage their knowledge and tools around business intelligence, data integration and data science.  

VMblog:  What specific challenges are manufacturing and automotive seeing with IoT data integration, and how does the industry approach solve those?

Schneider:  In the manufacturing and automotive sectors, sensor technology is ubiquitous and captures a continuous stream of data across almost all areas of development and production. This creates an enormous source of data that needs to be captured, stored and readied so that it can be used. In addition, there is also a vast amount of historic data in data lakes and data warehouses often siloed across organizations. 

Integrating all this data to generate useful insights is a massive task, particularly when considering the vast amount of data being captured at the edge. KX enables businesses to capture and analyze data no matter where it is, as well as to use machine learning and AI tools to generate actionable insights.   

VMblog:  What's this industry going to look like in 2025 and 2030?

Schneider:  Research from MarketsandMarkets shows that the real-time analytics sector is expected to grow at a CAGR of 26.5% through 2026, when it will reach USD 50.1 billion. This reflects the continued growth of data as more and more devices become connected.  Moreover, while a growing proportion of the data will be in the cloud, there will also be more data analytics conducted at the edge where the data is generated, particularly in utilities and manufacturing sectors.


About Kathy Schneider, CMO

Kathy Schneider brings extensive marketing leadership experience in the global technology sector. She was appointed global CMO of First Derivatives (KX's parent) in March 2020. As CMO, she has global responsibility for marketing strategy, including brand, demand gen and communications, driving the company's global go-to-market approach and brand strategy to support its growth. Previously, she was global CMO at Sungard Availability Services, and SVP Product and Marketing for EMEA at Level 3 Communications. She held a global role on the executive leadership team at Criteo as SVP, Marketing & Communications, and before that led various marketing functions at country, regional and global levels at Dell.

Published Friday, May 13, 2022 1:53 PM by David Marshall
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