KX Insights Extends Real-time Analytics Power to Python and SQL Developers

KX | November 02, 2021

KX has announced a significant update to KX Insights, its cloud-first real-time data analytics platform, making the power of KX accessible and easy to use by developers.  According to the research firm MarketsandMarkets, the streaming analytics market is expected to grow from USD 12.5 billion in 2020 to USD 38.6 billion by 2025, at a CAGR of 25.2%.  This reflects an evolution in the data analytics landscape whereby business value is increasingly being driven by shortening the decision-making window as well as deriving insights from enormous, stored data volumes.

For Python developers and data scientists, this latest release makes it easy to leverage the best-in-class performance of KX through a truly Python-first interface. Analyst company SlashData has recently published that there are 8.2 million developers in the world who code using Python, exceeding the number of Java developers.  OpenAPI allows KX Insights to work seamlessly with an extensive range of environments and languages, enabling more developers to utilize the power of real-time analytics.  Additionally, ANSI SQL and PostgreSQL support enable a wider audience to leverage their existing knowledge and tools around business intelligence, data integration and data science.

KX's research shows that 95% of organizations using data extensively see themselves investing more in real-time analytics.  Nevertheless, this same survey found that half of organizations feel their current tools only make them 'somewhat prepared' or 'not prepared at all' to take advantage of real-time data to drive decisions.  This underscores the need for organizations to work with a technology partner that can help them capitalize on their current tools and skills to bridge this gap and ensure speed to business value from their investments.

"More and more organizations are realizing the significant business value to be gained from acting on real-time insights derived from the analysis of data created in the moment and enriched by the context of vast historic data. With our recent update, a broad range of developers can harness all the power of KX Insights while benefiting from the flexibility and efficiency of running applications in a cloud environment."

Gerry Buggy, Chief Strategy and Product Officer at KX

Capable of running natively on all leading hyper-scale cloud platforms, as well as on premise and in hybrid deployments, KX Insights offers not only the scalability of the cloud, but also an expansive catalogue of microservices that enable the rapid, flexible deployment of new data-driven applications.   With advanced data management features, integration with cloud services and support for real-time data visualizations, developers can easily build powerful, cloud-based real-time analytics applications. Out-of-the-box support for Kubernetes, SQL and Python delivers interoperability with other services and applications including database systems, visualization packages and business intelligence solutions.  KX Insights is available now to existing customers via an update and for new customers.

About KX
KX, the leading technology for real-time continuous intelligence, is part of FD Technologies plc, a group of data-driven businesses that unlock the value of insight, hindsight and foresight to drive organisations forward. KX Streaming Analytics, built on the kdb+ time-series database, is an industry leading high-performance, in-memory computing, streaming analytics and operational intelligence platform. It delivers the best possible performance and flexibility for high-volume, data-intensive analytics and applications across multiple industries. The Group operates from 15 offices across Europe, North America and Asia Pacific and employs more than 3,000 people worldwide.


Machine Learning is a major part of the data science field; the subject deals with algorithms which helps machines learn from data and predict future outcomes. Machine Learning is a major part of the data science field; the subject deals with algorithms which help machines learn from data and predict future outcomes. The algorithms used in Machine Learning are usually of two types, supervised learning and unsupervised learning. Machine Learning offers insights on Rate prediction for websites, analysis of market baskets on e-shopping sites, comparison of documents, movie recommendations etc. for corporate decision making. To learn more watch our free demo session on introduction to machine Learning.

Other News

ACA Group Acquires Data Specialist Ethos ESG to Offer First Data Analytics Product

ACA Group | September 26, 2022

ACA Group (ACA), the leading governance, risk, and compliance (GRC) advisor in financial services, today announced that it has acquired Ethos ESG (Ethos), a provider of environmental, social, and governance (ESG) ratings data and software for financial advisors, asset managers, institutions, and investors. This acquisition marks ACA’s first analytics offering, which will be paired with ACA’s ESG experts to form an integrated tech and advisory offering under the ESG Advisory practice. ACA’s existing ESG Advisory practice supports with a range of programmatic needs for firms that integrate ESG into their business or investment activities. This currently includes advice and implementation support around strategy, policies/procedures, regulations and frameworks, training, and external reporting, among other areas. With Ethos, ACA’s clients will now also be able to easily analyze investments and automate several elements of ESG reporting. Founded in 2019, Ethos offers an interactive platform that allows for the evaluation of over 350,000 impact ratings including companies, stocks, and funds through a prism of 45 ESG causes such as climate change, racial justice, mental health and more. Providing full transparency into how each impact score is calculated and the ability to upload portfolios and create models, Ethos allows for GRC professionals to understand the ESG characteristics of their investments and make responsible decisions that align with their firm's values and ESG commitments. Ethos uses a proprietary set of approximately 100 underlying databases to generate its ratings. These databases provide a unique impact view of ratings, as well as provide insight into key metrics where available. The databases are fully transparent, so clients can see which underlying database source for each data point. Ethos also has capabilities developed to quickly scrape the public domain for material publicly available information to include in the ratings. These state-of-the-art capabilities allow Ethos to quickly add company coverage to help clients achieve full coverage of their investment portfolio. Ethos has invested in innovation through the recent launch of its Impact Calculator, an embeddable widget that takes a dollar amount and immediately calculates the real-world equivalent impact of investing that amount in a specific fund or other product, compared to a benchmark. Additionally, Ethos recently introduced its Carbon Neutral Certification program for mutual funds and ETFs, developed in conjunction with Change Finance. Through the certification, Ethos performs an independent analysis of a funds carbon footprint (covering Scope 1 and Scope 2 emission) and carbon credits (offsets) to verify whether the fund is carbon neutral during a specified period. “This is an exciting step in helping to grow our presence in the ESG space and is ACA Group’s first foray into analytics as a service,” said Shvetank Shah, CEO of ACA Group. “We are invigorated to be building out and launching our data capabilities, starting with Ethos ESG. Combining data with our scalable solutions will continue to empower our clients to reimagine GRC and protect and grow their business.” “We are thrilled to partner with ACA Group, as their brand and reach in the GRC space is well-known. “Not only is taking into consideration the ESG impact of your decisions right on its merits, but greater transparency into ESG issues helps firms mitigate risk and make informed choices while growing sustainably.” Luke Wilcox, Founder and CEO of Ethos ESG “This pairing will help us to leverage data in a new way to help firms of all sizes develop and monitor their ESG programs to mitigate risk, make informed choices, combat greenwashing, and grow profitably and sustainably in the process. Access to high-quality, transparent ESG data is an essential part of any ESG endeavor, and our partnership with Ethos will allow us to build and protect our clients’ ESG strategies in ways few others can,” said Dan Mistler, Head of ESG Advisory at ACA Group. About ACA Group ACA Group (ACA) is the leading governance, risk, and compliance (GRC) advisor in financial services. We empower our clients to reimagine GRC and protect and grow their business. Our innovative approach integrates advisory, managed services, distribution solutions, and analytics with our ComplianceAlpha® technology platform with the specialized expertise of former regulators and practitioners and our deep understanding of the global regulatory landscape. About Ethos ESG Founded in 2019, Ethos ESG provides data and analytics for financial advisors, asset managers, institutions, and investors. With over 350,000 impact ratings of stocks and funds across 45 causes, Ethos ESG helps firms offer robust impact reporting, monitor and address sustainability risks, and enhance quantitative research and modelling with transparent ESG data.

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Semarchy Empowers Red Wing Shoes with Unified Platform for Master Data Management and Governance

Semarchy | October 11, 2022

Semarchy, a leader in data integration and master data management, was selected by Red Wing Shoes to develop a central data hub to manage customer data generated from the explosive growth of the company’s e-commerce sales. Leveraging Semarchy’s unified data platform, Red Wing Shoes will deliver on its customer-centric retail strategy by creating a 360° view to enable its divisions to improve their customer knowledge across all departments. “Semarchy is honored to be selected as the data partner of choice by Red Wing Shoes, whose service and quality are unmatched in its industry. “Red Wing Shoes’ commitment to its customers is in perfect alignment with Semarchy’s commitment to customer success. We are excited to equip this outstanding brand with a data platform equal in caliber to their products and reputation.” TH Herbert, CEO of Semarchy Red Wing Shoes approached Semarchy with challenges including data quality, data visibility, data management, and reporting and analytics. Other business drivers included developing data strategy, minimizing administrative and overhead costs, and establishing a “golden record” for customers before implementing new POS and e-commerce platforms. After reviewing multiple companies, Red Wing Shoes chose Semarchy for its flexibility, expertise, and unified data platform as well as cultural fit. When Red Wing Shoes started their data journey, the first asset they aimed to master was their customer data across all their platforms for a complete view of customers across North America and Europe. One of their greatest challenges was ensuring the company understood who their customer was well enough to market to and service them effectively. With more than 9 million individual records, Red Wing Shoes needed a tool to allow the company to intelligently connect all transactions to the right customer. “With our old systems, if you had a customer that bought shoes in three different stores and online, they would look like four different $300 customers to us, instead of one $1,200 customer,” said Jay Wardle, director, enterprise data at Red Wing Shoe Company. “With Semarchy, we solved our data quality and master data management issues with one system. Now our customer data contains a single golden record for everyone, making it easy for marketing, sales, and customer service to see the data in real-time.” Leveraging Semarchy’s unified data platform, Red Wing’s business units are now empowered with the right data to be proactive with marketing and customer support to serve their customers’ needs with real-time, accurate data. Now that the company has achieved one ‘golden record’ per customer, the marketing department is able to market to customers based on their level of engagement, purchase history, and locations to establish data-driven marketing campaigns, for example, and other departments can derive similar benefits. “We are delighted that Semarchy was able to fulfill the data needs of Red Wing Shoes’ various departments and to enhance the customer experience overall,” said Brett Hansen, chief growth officer at Semarchy. “It is a joy to see how Semarchy’s unified data platform can transform a great brand into a data-driven powerhouse equipped for maximum responsiveness to customer demands and marketing opportunities.” Red Wing Shoes continues to work with Semarchy on innovating new ways to leverage the unified data platform to reduce business complexity and increase efficiencies for their global business; including additional marketing projects, establishing a new POS and e-commerce system with clean data, and improving customer data for their wholesale/industrial customer B2B2C segments. About Semarchy Semarchy, a leader in the data integration and master data management markets, enables organizations to rapidly generate business value from their data. Its unified platform enables organizations of any size to quickly discover, govern, manage, integrate and visualize critical information scattered across applications. Semarchy is available as an on-premises platform and is natively available on popular cloud marketplaces such as Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP). Semarchy is also managed as a service and supported by a rich ecosystem of software-as-a service and professional service partners. Semarchy is based in Phoenix, USA, with offices in London, UK, Lyon, France, and Mexico City, Mexico.

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Snowplow launches Data Product Accelerators, Snowplow BDP Cloud and Enterprise updates

Snowplow | November 03, 2022

Snowplow, the industry leader in Data Creation and behavioral data, has announced the availability of the first of its Data Product Accelerators (DPAs)— recipes designed to help accelerate the journey from ideation to outcome when designing business-critical data products. The company has also announced preview availability of new offerings within its Behavioral Data Platform (BDP) portfolio. Data Product Accelerators Snowplow DPAs mark the next evolution of Data Creation, the category founded by Snowplow that involves the deliberate creation of data to power AI and advanced data applications. These DPAs lay the foundation for the fast creation of data apps, providing a step-by-step guide or referencing data architecture to effortlessly deliver high-impact use cases that solve specific business needs or problems. For example, the Composable CDP DPA will use Databricks, machine learning, and Hightouch to enable the creation of a composable CDP—which an organization could use to collect behavioral data from all customer touchpoints and build a single customer view, to better understand customer behavior and power personalization at scale. “Across industries, organizations know they need to be doing more with data. They know that simply extracting data is not enough—they need to create data that’s meaningful to their unique situation. Yet, in an emerging field like this, we felt that we could do more to share best practices and get outcomes into the hands of Data teams and their organizations. These DPAs will help our customers to easily understand and experience the value of Snowplow, in a context that is highly meaningful to them” said Snowplow President, Chief Product and Marketing Officer, Nick King. The DPAs will be available in an online library and soon to be released within the Snowplow platform, and will include a high-level solution overview, clear implementation process, and technical accelerators to help organizations bring their data products to market faster. There are four DPAs available at launch, including Advanced Analytics for Web (both Snowflake and Databricks), Composable CDP with Predictive ML Modeling, Advanced Analytics for Hybrid Mobile, and Advanced Analytics for Mobile. Preview availability of Snowplow BDP Cloud and BDP Enterprise BDP Cloud Snowplow has also announced the preview of Snowplow BDP Cloud, a new iteration of the behavioral data platform that empowers organizations to create, evolve, and manage behavioral data at scale. Fast to implement, Snowplow BDP Cloud is targeting EU and North American markets initially—removing the burden of deploying Snowplow in your own environment, and ensuring GDPR, and other regulatory compliance. Snowplow BDP Cloud is available as a private preview and customers can sign up here to gain access. BDP Enterprise Available today, BPE Enterprise customers are able to take advantage of the Tracking Catalog. This new feature provides the ability to create an organizational wide view of their tracking architecture, which allows teams to effectively discover, evolve, and manage versioning for their events and entities. Team members of all technical levels can find out about the event, entities, and properties collected by Snowplow. This is particularly helpful for Data Product Managers, a role which requires fast and effective data discovery. “Using the Tracking Catalog allows us to review the graph of events and entities holistically - with the goal being to review our tracking architecture and increase the quality of our event collection," said UK's AutoTrader Engineering Platform and Data Director, Darren Haken. "It can also provide a non-technical view to our Product Managers - helping them understand what events they are collecting on the product.” The BDP Portfolio The new Snowplow BDP portfolio of Cloud and Enterprise is designed to help make advanced analytics available to more businesses. Alex Dean, Snowplow’s co-founder and CEO highlighted the results achieved by current customers. “Already, customers like Strava, Gousto, and DPG Media are forging ahead with Data Creation using Snowplow,” he said. “These new offerings will pave the way for more organizations across the globe to tap into the rich possibilities of using behavioral data to power advanced analytics and AI applications.” About Snowplow Snowplow generates, governs and models high-quality, granular behavioral data, ready for use in AI, ML, and Advanced Analytics applications. When integrated with other tools from the modern data stack, Snowplow can power a wide variety of advanced use cases, allowing organizations to drive significant business value with behavioral data. Data products built on top of Snowplow include the composable CDP, first-party digital analytics and ML-powered churn reduction for subscription businesses.

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Precisely Works with AWS to Power Mainframe Modernization for Real-Time Access to Data

Precisely | December 01, 2022

Precisely, the global leader in data integrity, today announced it is working with Amazon Web Services (AWS) on its AWS Mainframe Modernization service. The integration offers real-time replication of mainframe data to AWS leveraging Precisely Connect, allowing customers to securely and efficiently migrate data, as well as access mainframe data on AWS for more powerful analytics. This new scope of work delivers a mainframe modernization solution to the market that allows customers to replicate mainframe data onto AWS with zero downtime. The functionality allows customers to build resilient, high-performance data pipelines that connect data from their mainframe databases to AWS services like Amazon Relational Database Service (Amazon RDS), Amazon Aurora, Amazon Simple Storage Service (Amazon S3), Amazon EMR, Amazon Managed Streaming for Apache Kafka (MSK), Amazon Redshift, Snowflake on AWS, and more. By accelerating access to mainframe data on AWS, businesses can get mainframe migration projects done on time and on budget, all while extending the value of mission-critical, and high investment, mainframe systems. The integration solution works within a business’s existing architecture, allowing teams to future-proof solutions and be flexible when introducing new applications and use cases. Customers that have already begun taking advantage of these joint capabilities include AAA Life Insurance: “Our customers rely on us to provide financial protection for their loved ones, and with over 1,500,000 active policies, central to success is real-time access to trusted data across multiple sources. This includes mainframe systems - which are notoriously challenging to integrate effectively,” said Steven Hinzmann, Manager of Application Development at AAA Life Insurance. “Precisely Connect allows us to quickly and easily access vast volumes of historical business and customer data, which is then replicated to the AWS environment where it can be leveraged for advanced analytics. The combination of Precisely’s rich heritage in handling mainframe data with AWS’s cloud platform has been unbeatable for allowing us to innovate and drive the best possible customer experience." “Data is the lifeblood of the digital economy and the pipelines that carry it are essential to a business’s IT infrastructure. “Together with AWS, we can help our customers to maximize their data and investments - unlocking the true potential of their critical data assets to power their business by making critical data assets available for AWS and for advanced analytics.” Eric Yau, Chief Operating Officer at Precisely “AWS and Precisely empower our customers to build trust in their data,” said Bill Platt, General Manager for Migration Services at AWS. “By integrating data from complex mainframe systems directly onto AWS, customers can rely on their data to be the driving force of confident analytics, and ensure they are deriving maximum value from their infrastructure investments.” About Precisely Precisely is the global leader in data integrity, providing accuracy, consistency, and context in data for 12,000 customers in more than 100 countries, including 99 of the Fortune 100. Precisely’s data integration, data quality, data governance, location intelligence, and data enrichment products power better business decisions to create better outcomes.

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Machine Learning is a major part of the data science field; the subject deals with algorithms which helps machines learn from data and predict future outcomes. Machine Learning is a major part of the data science field; the subject deals with algorithms which help machines learn from data and predict future outcomes. The algorithms used in Machine Learning are usually of two types, supervised learning and unsupervised learning. Machine Learning offers insights on Rate prediction for websites, analysis of market baskets on e-shopping sites, comparison of documents, movie recommendations etc. for corporate decision making. To learn more watch our free demo session on introduction to machine Learning.