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ISG to Publish Reports on Analytics Platforms, Services

ISG
Information Services Group , a leading global technology research and advisory firm, has launched a research study examining platforms and services that help enterprises derive business value from exponentially growing volumes of available data.

The study results will be published in a comprehensive ISG Provider Lens™ report, called Analytics Platforms 2022, scheduled to be released in December. The report will cover software vendors and solution providers offering data analytics and governance platforms for generating deep business insights. At the same time, ISG Provider Lens™ will publish the Analytics Services 2022 report, covering providers of data science, data analytics and data monetization services.

Enterprise buyers will be able to use information from the reports to evaluate their current vendor relationships, potential new engagements and available offerings, while ISG advisors use the information to recommend providers to the firm’s buy-side clients.

In recent years, organizations have recognized the potential of data to drive business value and growth. Both large enterprises and small and medium-sized businesses have shifted their focus from basic business data and statistical modelling to enhanced analytics and decision intelligence. They are using data to identify new revenue streams, improve customer experiences and optimize processes for operational excellence.

“In the digital economy, data is an essential asset. “Some enterprises are more mature than others in their data practices, but most of them have a data-centric culture.”

Jan Erik Aase, partner and global leader, ISG Provider Lens Research

For the Analytics Platforms 2022 study, ISG has distributed surveys to approximately 125 analytics platform providers. Working in collaboration with ISG’s global advisors, the research team will produce two quadrants representing the analytics platform products the typical enterprise is buying, based on ISG’s experience working with its clients. The two quadrants are:

  • Embedded Analytics and Business Analytics Platforms, evaluating providers of commercially available, off-the-shelf platforms for enterprise data reporting and visualization that can move data in multiple formats across departments and make it available for rapid analysis.
  • Data Governance Platforms, assessing providers of readily available platforms for gathering, preparing, transforming and integrating data across organizations and their partners and customers. These platforms include features for maintaining data integrity and managing regulatory requirements, business continuity and data recovery.

A list of identified providers and vendors and further details on the study are available in this digital brochure. Companies not listed as analytics platform providers can contact ISG and ask to be included in the study.

For the Analytics Services 2022 study, ISG has distributed surveys to approximately 125 analytics services providers. The quadrants are:

  • Data Science Services, covering providers of advisory and system integration services that integrate scientific methods and business context, including expertise in a client’s industry, to resolve critical business challenges.
  • Data Engineering Services, evaluating providers of a comprehensive set of services for collecting and aggregating data from multiple sources, processing it and making it available in a structured manner.
  • Data Monetization Services, assessing providers of consulting, system integration and managed services that help clients use data to achieve measurable monetary returns.

A list of identified providers and vendors and further details on the study are available in this digital brochure. Companies not listed as analytics services providers can contact ISG and ask to be included in the study.

Each report will cover analytics platform and services providers, respectively, on a global basis and in these specific geographic markets: the U.S., Brazil, Germany and the U.K. ISG analysts Maharshi Pandya and Vartika Rai (Global), Gowtham Kumar Sampath (U.S. and U.K.), Holm Landrock (Germany), and Marcio Tabach (Brazil) will serve as authors of the reports.

All 2022 ISG Provider Lens™ evaluations now feature new and expanded customer experience (CX) data that measures actual enterprise experience with specific provider services and solutions, based on ISG’s continuous CX research. Enterprise customers wishing to share their experience about a specific provider or vendor are encouraged to register here to receive a personalized survey URL. Participants will receive a copy of this report in return for their feedback.

About ISG Provider Lens™ Research
The ISG Provider Lens™ Quadrant research series is the only service provider evaluation of its kind to combine empirical, data-driven research and market analysis with the real-world experience and observations of ISG's global advisory team. Enterprises will find a wealth of detailed data and market analysis to help guide their selection of appropriate sourcing partners, while ISG advisors use the reports to validate their own market knowledge and make recommendations to ISG's enterprise clients. The research currently covers providers offering their services globally, across Europe, as well as in the U.S., Canada, Brazil, the U.K., France, Benelux, Germany, Switzerland, the Nordics, Australia and Singapore/Malaysia, with additional markets to be added in the future.

About ISG
ISG (Information Services Group) is a leading global technology research and advisory firm. A trusted business partner to more than 800 clients, including more than 75 of the world’s top 100 enterprises, ISG is committed to helping corporations, public sector organizations, and service and technology providers achieve operational excellence and faster growth. The firm specializes in digital transformation services, including automation, cloud and data analytics; sourcing advisory; managed governance and risk services; network carrier services; strategy and operations design; change management; market intelligence and technology research and analysis. Founded in 2006, and based in Stamford, Conn., ISG employs more than 1,300 digital-ready professionals operating in more than 20 countries — a global team known for its innovative thinking, market influence, deep industry and technology expertise, and world-class research and analytical capabilities based on the industry’s most comprehensive marketplace data.

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Alation | October 12, 2023

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Radiant Logic Announces Expanded Identity Analytics and Data Management Platform Capabilities

Business Wire | September 29, 2023

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Kinetica Redefines Real-Time Analytics with Native LLM Integration

Kinetica | September 22, 2023

Kinetica, a renowned speed layer for generative AI and real-time analytics, has recently unveiled a native Large Language Model (LLM) integrated with Kinetica's innovative architecture. This empowers users to perform ad-hoc data analysis on real-time, structured data with the ease of natural language, all without the need for external API calls and without data ever leaving the secure confines of the customer's environment. This significant milestone follows Kinetica's prior innovation as the first analytic database to integrate with OpenAI. Amid the LLM fervor, enterprises and government agencies are actively seeking inventive ways to automate various business functions while safeguarding sensitive information that could be exposed through fine-tuning or prompt augmentation. Public LLMs, exemplified by OpenAI's GPT 3.5, raise valid concerns regarding privacy and security. These concerns are effectively mitigated through native offerings, seamlessly integrated into the Kinetica deployment, and securely nestled within the customer's network perimeter. Beyond its superior security features, Kinetica's native LLM is finely tuned to the syntax and industry-specific data definitions, spanning domains such as telecommunications, automotive, financial services, logistics, and more. This tailored approach ensures the generation of more reliable and precise SQL queries. Notably, this capability extends beyond conventional SQL, enabling efficient handling of intricate tasks essential for enhanced decision-making capabilities, particularly for time-series, graph, and spatial inquiries. Kinetica's approach to fine-tuning places emphasis on optimizing SQL generation to deliver consistent and accurate results, in stark contrast to more conventional methods that prioritize creativity but yield diverse and unpredictable responses. This steadfast commitment to reliable SQL query outcomes offers businesses and users the peace of mind they deserve. Illustrating the practical impact of this innovation, the US Air Force has been collaborating closely with Kinetica to leverage advanced analytics on sensor data, enabling swift identification and response to potential threats. This partnership contributes significantly to the safety and security of the national airspace system. The US Air Force now employs Kinetica's embedded LLM to detect airspace threats and anomalies using natural language. Kinetica's database excels in converting natural language queries into SQL, delivering responses in mere seconds, even when faced with complex or unfamiliar questions. Furthermore, Kinetica seamlessly combines various analytics modes, including time series, spatial, graph, and machine learning, thereby expanding the range of queries it can effectively address. What truly enables Kinetica to excel in conversational query processing is its ingenious use of native vectorization. In a vectorized query engine, data is organized into fixed-size blocks called vectors, enabling parallel query operations on these vectors. This stands in contrast to traditional approaches that process individual data elements sequentially. The result is significantly accelerated query execution, all within a smaller compute footprint. This remarkable speed is made possible by the utilization of GPUs and the latest CPU advancements, which enable simultaneous calculations on multiple data elements, thereby greatly enhancing the processing speed of computation-intensive tasks across multiple cores or threads. About Kinetica Kinetica is a pioneering company at the forefront of real-time analytics and is the creator of the groundbreaking real-time analytical database specially designed for sensor and machine data. The company offers native vectorized analytics capabilities in the fields of generative AI, spatial analysis, time-series modeling, and graph processing. A distinguished array of the world's largest enterprises spanning diverse sectors, including the public sector, financial services, telecommunications, energy, healthcare, retail, and automotive industries, entrusts Kinetica to forge novel solutions in the realms of time-series data and spatial analysis. The company's clientele includes various illustrious organizations such as the US Air Force, Citibank, Ford, T-Mobile, and numerous others.

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Syntasa’s Data Ready for CDPs Simplifies the CDP Journey for Marketers

Syntasa | October 09, 2023

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Alation Launches Analytics Cloud1 Elevating Data Culture Assessment

Alation | October 12, 2023

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Radiant Logic Announces Expanded Identity Analytics and Data Management Platform Capabilities

Business Wire | September 29, 2023

Radiant Logic, the Identity Data Fabric company, today announces the completed integration of Brainwave GRC following the April 2023 acquisition. These new capabilities solidify Radiant Logic’s entrance in the Identity Analytics market and position our platform in the Identity Governance and Administration market, as seen in the recent Gartner® Market Guide for IGA. With a new website launching today and the release of the full RadiantOne Identity Data Platform, including Identity Analytics, the company celebrates the final integration of Brainwave into Radiant Logic. Radiant Logic, the longtime leader in Identity Data Management, enters the field of Identity Analytics with unprecedented capabilities including Observability, Governance, and Compliance. With 90% of organizations experiencing at least one identity-related breach in the past year, according to the Identity Defined Security Alliance (IDSA), organizations are realizing the essential role of identity data quality and visibility within cybersecurity and overall IT operational maturity best practices. Identity data is the lifeblood for all access decisions, and must be made accessible as the authoritative source for all authentication, authorization, and administration engines. In a recent research note, Gartner recommends that organizations: “Accelerate IAM data improvements for their IAM program by increasing the priority of visibility/observability improvements, including applying the visibility, intelligence, action model to program prioritization decisions." The new release from Radiant Logic represents a major step forward in the ability to use identity data management and identity analytics in cybersecurity and governance practices. Access to the right identity data, at the right time, is critical for any IAM tool, process, or policy. Visibility into all identity data and infrastructure gives clear insight into who has access to what and uncovers outliers and over-privileged access, which helps identify and close security gaps. It’s a powerful combination for any organization. We’re thrilled to announce the full integration of Radiant Logic and Brainwave GRC as one company, one website, and one platform. The new RadiantOne Identity Data Platform will strengthen operational maturity for customers, improve regulatory compliance and audit responses, and enable data-driven security best practices, said John Pritchard, Chief Product Officer, Radiant Logic. We are only seeing the tip of the iceberg regarding the potential for leveraging data science and artificial intelligence in IAM, and we believe that by pairing vast amounts of identity data with analytical inferencing, the possibilities for innovation are endless. With the new capabilities from RadiantOne, identity data can be supplied in a flexible and automated way, allowing organizations to base their security and policy decisions on the most accurate and complete data available. The addition of Identity Analytics brings visibility and intuitive visualization techniques, allowing organizations to use comprehensive identity data to find anomalies, add risk scores, easily respond to audits, and improve their overall security posture. Complete documentation is now available on the Radiant Logic developer portal, the support function is integrated via the customer support portal, and the full platform will be available as an integrated SaaS offering in Q4. The integrated platform combining Identity Data Management and Identity Analytics capabilities will accelerate Zero Trust projects, enable digital transformation, and simplify audit and compliance. Visit our new website at www.radiantlogic.com to learn more. About Radiant Logic Radiant Logic, the identity data experts, helps organizations turn identity data into a strategic asset that drives automated governance, enhanced security, and operational efficiency. Our RadiantOne Identity Data Platform removes complexity as a roadblock to identity-first strategies by creating an authoritative data source for real-time, context-aware controls. We provide visibility and actionable insights to intelligently detect and remediate risk using AI/ML-powered identity analytics. With RadiantOne, organizations are able to tap into the wealth of information across the infrastructure, combining context and analytics to deploy governance that works for the most advanced use cases.

Read More

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Kinetica Redefines Real-Time Analytics with Native LLM Integration

Kinetica | September 22, 2023

Kinetica, a renowned speed layer for generative AI and real-time analytics, has recently unveiled a native Large Language Model (LLM) integrated with Kinetica's innovative architecture. This empowers users to perform ad-hoc data analysis on real-time, structured data with the ease of natural language, all without the need for external API calls and without data ever leaving the secure confines of the customer's environment. This significant milestone follows Kinetica's prior innovation as the first analytic database to integrate with OpenAI. Amid the LLM fervor, enterprises and government agencies are actively seeking inventive ways to automate various business functions while safeguarding sensitive information that could be exposed through fine-tuning or prompt augmentation. Public LLMs, exemplified by OpenAI's GPT 3.5, raise valid concerns regarding privacy and security. These concerns are effectively mitigated through native offerings, seamlessly integrated into the Kinetica deployment, and securely nestled within the customer's network perimeter. Beyond its superior security features, Kinetica's native LLM is finely tuned to the syntax and industry-specific data definitions, spanning domains such as telecommunications, automotive, financial services, logistics, and more. This tailored approach ensures the generation of more reliable and precise SQL queries. Notably, this capability extends beyond conventional SQL, enabling efficient handling of intricate tasks essential for enhanced decision-making capabilities, particularly for time-series, graph, and spatial inquiries. Kinetica's approach to fine-tuning places emphasis on optimizing SQL generation to deliver consistent and accurate results, in stark contrast to more conventional methods that prioritize creativity but yield diverse and unpredictable responses. This steadfast commitment to reliable SQL query outcomes offers businesses and users the peace of mind they deserve. Illustrating the practical impact of this innovation, the US Air Force has been collaborating closely with Kinetica to leverage advanced analytics on sensor data, enabling swift identification and response to potential threats. This partnership contributes significantly to the safety and security of the national airspace system. The US Air Force now employs Kinetica's embedded LLM to detect airspace threats and anomalies using natural language. Kinetica's database excels in converting natural language queries into SQL, delivering responses in mere seconds, even when faced with complex or unfamiliar questions. Furthermore, Kinetica seamlessly combines various analytics modes, including time series, spatial, graph, and machine learning, thereby expanding the range of queries it can effectively address. What truly enables Kinetica to excel in conversational query processing is its ingenious use of native vectorization. In a vectorized query engine, data is organized into fixed-size blocks called vectors, enabling parallel query operations on these vectors. This stands in contrast to traditional approaches that process individual data elements sequentially. The result is significantly accelerated query execution, all within a smaller compute footprint. This remarkable speed is made possible by the utilization of GPUs and the latest CPU advancements, which enable simultaneous calculations on multiple data elements, thereby greatly enhancing the processing speed of computation-intensive tasks across multiple cores or threads. About Kinetica Kinetica is a pioneering company at the forefront of real-time analytics and is the creator of the groundbreaking real-time analytical database specially designed for sensor and machine data. The company offers native vectorized analytics capabilities in the fields of generative AI, spatial analysis, time-series modeling, and graph processing. A distinguished array of the world's largest enterprises spanning diverse sectors, including the public sector, financial services, telecommunications, energy, healthcare, retail, and automotive industries, entrusts Kinetica to forge novel solutions in the realms of time-series data and spatial analysis. The company's clientele includes various illustrious organizations such as the US Air Force, Citibank, Ford, T-Mobile, and numerous others.

Read More

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Syntasa’s Data Ready for CDPs Simplifies the CDP Journey for Marketers

Syntasa | October 09, 2023

Syntasa, a leading provider of composable martech solutions, has unveiled a new feature designed to empower companies interested in Customer Data Platforms (CDPs). This new capability allows companies to leverage the 'Data Ready for CDPs' solution within a private cloud environment, allowing organizations to effortlessly import relevant customer data for utilization within their chosen CDP. As businesses expand their horizons towards gaining a comprehensive understanding of customer journeys and experiences across various channels, the adoption of CDPs has surged to enhance marketing and customer engagement endeavors. With privacy regulations becoming increasingly stringent, companies are turning to zero and first-party data to fuel their CDP program. However, the process of collecting, cleaning, and transforming this zero and first-party data from internal systems to effectively power CDPs has proven to be a formidable challenge for marketing teams. On the journey to implementing CDPs, marketing teams have encountered a significant obstacle in the form of extended deployment timelines. Conventional CDP programs often demand 6-12 months merely to launch the Minimum Viable Product (MVP). This protracted timeline poses a substantial hurdle for businesses eager to reap the benefits of a CDP swiftly. Furthermore, manual data preparation for CDPs persists as a labor-intensive and error-prone procedure, resulting in increased time and costs for integrating each new data point with a CDP. Compounding the issue, customer data is typically fragmented across diverse systems, often lacking cleanliness and necessitating robust collaboration among various teams to render it actionable. This complexity makes integrating data from disparate sources into a CDP a daunting task. Syntasa's core platform operates within the customer's own Virtual Private Cloud (VPC), affording them direct access to raw data for cleansing and transformation, facilitated by a spectrum of low-code to full-code transformations. Ultimately, the marketing team gains the autonomy to select data through a user-friendly interface and connect it to the CDP of their choice, all without necessitating technical team support. In addition to fostering a collaborative environment where data and marketing teams work synergistically, the solution incorporates data observability components that monitor every data field transmitted to the CDP. This feature enables prompt identification of data issues, preventing them from impacting business Key Performance Indicators weeks later. About Syntasa for Marketing Syntasa for Marketing offers composable martech solutions featuring a range of application options from no-code to low-code and pro-code. These solutions orchestrate cloud-native services and harness the latest advancements in AI and machine learning to derive insights from digital behavior and autonomously activate these insights. The company's solutions simplify the cleansing and transforming process of onsite and offsite customer data to deliver meaningful hyper-personalization solutions fueled directly by first-party data. Additionally, the platform provides martech solutions for constructing and deploying AI/ML data science models for audience building and analysis, as well as orchestrating audience-centric omnichannel marketing campaigns across paid media, CRM, onsite personalization, and martech tools.

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