BUSINESS INTELLIGENCE

Cube Dev Announces Universal BI Support

Cube Dev | June 01, 2022

Cube Dev
Cube Dev, the open source startup behind the Cube headless BI platform, launched today an improved API that makes its uniform data definitions available to users of all major business intelligence applications.

Thousands of businesses, ranging from startups to Fortune 500 corporations, have created data stacks that include cloud data warehouses for data storage, Cube for accessing this data and developing data models, and open source front-end tools for data visualization. This stack has facilitated the development of an ecosystem of bespoke data applications and analytics tools incorporated into mobile and desktop apps.

However, a considerably higher proportion of firms employ business intelligence apps and dashboard tools to summarize and store data, with the worldwide market for these applications expected to approach $25 billion USD by 2022.

“It has always been our ambition to make Cube’s power accessible to a great diversity of data consumers. Data needs to be consistent and performant not just for developers but also for analysts and general business users. This requires bringing Cube into the tools where these users already work.”

Artyom Keydunov, Cube Dev’s Chief Executive Officer and co-founder

With the addition of a PostgreSQL interface to the Cube platform today, BI applications like Tableau, Superset, and Microsoft Power BI can query Cube as a data source. That is, these tools consume the same concepts and data as bespoke apps and embedded analytics features that leverage Cube's GraphQL and REST APIs.

Spotlight

When the chances of solving a case drop by half after the first 48 hours, investigative teams need to work fast. Collaboration, speed and accuracy are essential. Case backlogs, processing times and time consuming analysis of digital device, drone, cloud and computer data in large, static PDF reports put investigations at risk. To successfully solve cases and keep communities safe, teams need solutions to move beyond siloed data repositories and manual analysis to transform the intelligence gathering process.

Spotlight

When the chances of solving a case drop by half after the first 48 hours, investigative teams need to work fast. Collaboration, speed and accuracy are essential. Case backlogs, processing times and time consuming analysis of digital device, drone, cloud and computer data in large, static PDF reports put investigations at risk. To successfully solve cases and keep communities safe, teams need solutions to move beyond siloed data repositories and manual analysis to transform the intelligence gathering process.

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Data Management and AI Automation Tools Are the Top Investment for Financial Firms, Broadridge Survey Finds

Broadridge | July 25, 2022

Investing in technology to better optimize data and modernize data management are the top priorities for financial services firms according to new research by global Fintech leader, Broadridge Financial Solutions, Inc. . The research was compiled from a survey of 200 financial services professionals, conducted at the recent SIFMA Operations Conference in May 2022. With as many as 98% of respondents' companies investing in their front-to-back-office workflow management, more than one-quarter (27%) of respondents cite data management tools as their firm's priority investment. In addition to data management, firms are also investing in AI and automation (23%), more human capital (13%), cloud-native capabilities (10%) for uniformity, and blockchain technologies (8%) to improve overall efficiencies. "In today's rapidly evolving world, an optimized workflow is crucial and good clean data is key. "And yet, firms are drowning in the complexity of managing and simplifying data without the technology and digital infrastructures in place to support its management, stifling transparency, agility and growth." Vijay Mayadas, President of Capital Markets at Broadridge Unlocking the value of data Optimizing and contextualizing data can lead to better data management and streamline internal workflows. However, 94% of firms are facing challenges around effective data use. Legacy or outdated technology stands out as the biggest hurdle that firms face (27%), followed by poor data quality (23%). After a year of job-hopping and "The Great Resignation," it comes as no surprise that firms are also having a hard time finding the human capital to effectively leverage data. Nearly one-fifth (19%) say they're experiencing an inability to quickly test, onboard, validate or maintain datasets. Wall Street Recognizes the Need for Improved Tech Stack The research found that more than half of the attendees (57%) confirmed their firms still have progress to make before they reach the advanced stages of their innovation and technology efforts. "We hear from clients and the survey findings highlight how firms are overwhelmed with the amount of data and limited in how to use it," said Mayadas. "By assessing ones tech stack and partnering with trusted providers, firms have the opportunity to maximize the capability of their data and improve their workflow management." Methodology The survey of 200 financial services professionals was conducted at the 49th Annual SIFMA Operations Conference & Exhibition in Phoenix, Arizona on May 17-18, 2022. About Broadridge Broadridge Financial Solutions , a global Fintech leader with $5 billion in revenues, provides the critical infrastructure that powers investing, corporate governance, and communications to enable better financial lives. We deliver technology-driven solutions that drive business transformation for banks, broker-dealers, asset and wealth managers and public companies. Broadridge's infrastructure serves as a global communications hub enabling corporate governance by linking thousands of public companies and mutual funds to tens of millions of individual and institutional investors around the world. Our technology and operations platforms underpin the daily trading of more than U.S. $9 trillion of equities, fixed income and other securities globally. A certified Great Place to Work®, Broadridge is part of the S&P 500® Index, employing over 13,000 associates in 21 countries.

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BIG DATA MANAGEMENT

Cboe Global Markets to Migrate Corporate Data and Analytics Platform to Snowflake Data Cloud

Cboe Global Markets, Inc | July 29, 2022

Cboe Global Markets, Inc., a leading provider of global market infrastructure and tradable products, today announced it is leveraging Snowflake, the Data Cloud company, to migrate its corporate data and analytics from on-premises systems to the cloud. The adoption of Snowflake's Data Cloud will help transform Cboe's data and analytics infrastructure into a modern cloud architecture, bringing speed, scalability, and efficiency to the company's handling of its internal, proprietary data and analytics. The flexible and highly scalable Snowflake Data Cloud platform, which can operate across different infrastructure cloud providers and regions as a single cloud, will help enable Cboe to employ additional tools to its existing data sets, expanding the way it aggregates and mines its data. Ultimately, this is expected to improve Cboe's capabilities in the ways it can analyze data, and derive rapid analytics to provide intelligence both internally and for customers. "Cboe will leverage Snowflake to accelerate our cloud migration journey and modernize how we manage and utilize our proprietary corporate data and analytics for our benefit and that of our customers," said Eileen Smith, Senior Vice President, Data and Analytics, Cboe Global Markets. "Snowflake offers a highly flexible and scalable Data Cloud platform that will enable our teams to handle increasing amounts of data with greater speed and efficiency, improving our capabilities for managing, mining, and analyzing that data internally across our global business and sharing those insights with our customers. We look forward to the many expected benefits that Snowflake will provide." Cboe also plans to utilize Snowflake as a security data lake to unify data for efficient detection and response and other cybersecurity use cases. Additionally, the migration to Snowflake's Data Cloud creates the opportunity for Cboe to potentially create new data products and services, while expanding data access for market participants through Snowflake's cloud capabilities and unique distribution channels, such as Snowflake's Secure Data Sharing. "The successful financial services companies of tomorrow know that they need to provide a seamless data experience. "The work Cboe is doing to modernize their data and analytics infrastructure and deliver faster, better insights to their internal teams and clients is a model for how the financial services industry must modernize, deliver on a more customer-centric model of operation and take advantage of the data monetization opportunities that exist in financial services." Rinesh Patel, Global Industry GTM Lead, Financial Services, Snowflake Cboe continues to move toward more cloud-based solutions and the engagement with Snowflake is part of its ongoing global cloud strategy. In November 2021, in a separate initiative, Cboe launched Cboe Global Cloud, a new real-time, cloud-based market data streaming service that aims to optimize the efficiency and delivery of Cboe's data services for market participants globally. Cboe Global Cloud is designed to enable customers to directly access real-time Cboe data from multiple locations around the world with as little as an internet connection. In addition, Cboe Global Cloud helps bring Cboe's wide array of real-time data products together onto a unified platform, providing customers a simple and efficient way to receive a variety of real-time data via a single access point. For more information, visit the Cboe Global Cloud website. About Cboe Global Markets, Inc Cboe Global Markets , a leading provider of market infrastructure and tradable products, delivers cutting-edge trading, clearing and investment solutions to market participants around the world. The company is committed to operating a trusted, inclusive global marketplace, providing leading products, technology and data solutions that enable participants to define a sustainable financial future. Cboe provides trading solutions and products in multiple asset classes, including equities, derivatives and FX, across North America, Europe and Asia Pacific.

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BIG DATA MANAGEMENT

Informatica Announces Multidomain Master DMaaS on Microsoft Azure

Informatica | May 25, 2022

Informatica, the business cloud data management provider, announced new product advancements to strengthen the company's long-standing partnership with Microsoft, including a private preview of Informatica's Master Data Management (MDM) on Microsoft Azure. This will allow joint clients to quickly merge and rationalize a variety of data sources into a single version of the truth for all of their important business activities across all business domains, resulting in a library of trustworthy data from which valuable insights can be generated. Informatica's Azure SaaS MDM will be available for purchase through the Azure Marketplace. Businesses are searching for a single, trustworthy view of business-critical data to make smarter business decisions faster as data silos keep expanding with new apps and systems. An intelligent 360-degree perspective synthesizes data from many systems and applications, laying the groundwork for data-driven change at scale. Intelligent Master Data Management as a Service by Informatica controls all domains of master data in a single SaaS solution as part of Informatica's Intelligent Data Management Cloud (IDMC), a cloud-native, end-to-end data management cloud platform. With the release of Informatica's MDM SaaS on Azure, corporate users can improve productivity by using high-quality data, visibility, and transparency throughout the information supply chain, from generation to consumption. Informatica provides a cloud-native, all-in-one MDM solution built to create hyper-personalized consumer experiences, manage complex global supply chains, drive digital commerce activities, and manage financial data to ensure accurate reporting and compliance. Companies get a secure, scalable, and performance-efficient MDM solution by combining Azure and Informatica's Intelligent MDM, which can connect, understand, and manage the relationships between diverse domains like customer, product, supplier, and location to meet customers with the appropriate offer, at exactly the correct time, in the right format, to satisfy customers and drive value for the company. "The volume and use of data is fundamentally changing across every industry. As organizations look to derive insights and unlock business value from their data assets, they need a trusted data foundation. Using Informatica's cloud-native Master Data Management solution, combined with the agility and scale of Microsoft Azure, organizations will have a holistic view of their data, dramatically reduce time to value, and accelerate digital transformation efforts." Scott Guthrie, Executive Vice President, Cloud + AI Group, Microsoft In addition, Informatica's Intelligent Data Management Cloud (IDMC) on Azure will provide end-to-end data governance capabilities from source to Microsoft Power BI. Informatica's new scanning skills, developed in collaboration with Microsoft's Power BI team, allow Informatica to provide a comprehensive view of data governance from data source to data consumption, making sure joint customers have a comprehensive view of data from source to loading, transformation, preparation, and, at present moment, consumption via Power BI. Customers can utilize Power BI to improve their usage of data assets while also ensuring confidence and transparency in the underlying data, driving analytics-driven choices. Amit Walia, CEO, Informatica said that "Customers today want to analyze every aspect of their business to optimize and drive better outcomes, ranging from customers, suppliers, products to industry-specific aspects such as patients or providers. With Informatica's SaaS MDM on Microsoft Azure, the sky is the limit, as Informatica can master data for every business domain and do so rapidly with a software-as-a-service ease of use and rapid data onboarding powered by CLAIRE, our AI engine."

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