BIG DATA MANAGEMENT

Money.Net Launches Financial Data and Analytics Platform for Institutions

Money.Net | February 18, 2022

Money.Net, a financial data and analytics company, announced today that it has launched an enhanced platform for institutional users, which provides cost-effective access to professional-grade financial tools. Available immediately, Money.Net supports institutional users throughout the entire investment journey leveraging next-generation technologies including artificial intelligence (AI) and machine learning to mine big data.

Money.Net provides financial data across an array of asset classes including equities, fixed income, crypto, commodities, foreign exchange, and derivatives/options. Users are able to access information and analytics via the web and an Excel integration, complete with customizable layouts and live support.

The platform is offered at several levels, including Pro, Premium and Enterprise. Users at all levels will gain access to real-time market data and news, portfolio monitoring, analysis and charting tools, and the ability to access the Symphony technology platform.

Money.Net, operating under new ownership, has established a new management team led by Vincent Sangiovanni, chief executive officer, and Jason Emerson, chief operating officer.

Sangiovanni joins Money.Net from 360T GTX, a Deutsche Börse company, and Emerson joins from Pico Quantitative Trading. With over 50 years of combined experience, the two executives bring to the platform extensive industry knowledge and an intuitive understanding of investors’ needs.

“It is a new era for Money.Net. We are bringing together next-generation technology with Money.Net’s easy-to-use interface to help users seamlessly research, analyze and support their investment decision making process. Our team brings broad and deep experience developing multi-asset class solutions for institutional users.”

 Vincent Sangiovanni, CEO of Money.Net
 

As part of the launch, Money.Net has established strategic partnerships to better serve the needs of institutional investors.
 
  • Cosiac’s ChartIQ provides customizable charts that combine intuitive visualization with multi-asset class data to deliver actionable, tradable insights.
  • Symphony provides access to the largest global community in financial services through its secure and compliant communication stack, with chat, voice and video meetings, and file and screen sharing, allowing investors to interact in real-time.
  • Trading Central provides AI and machine learning technology to find and validate trading opportunities while managing risk.

"Trading Central has empowered investors with actionable analytics for over two decades, making us a natural partner for Money.Net," says Alain Pellier, CEO of Trading Central. "Their mission to democratize financial research is a perfect fit for our solutions, and we're proud to see our market insights reach more investors through their platform."

“Money.Net has been a long-time ChartIQ client and partner, and we’re excited to be working with the new management team as they launch their new institutional platform,” says Dan Schleifer, CEO of Cosaic (founded in 2012 as ChartIQ). “Money.Net brings a wealth of market data to its clients, and we’re proud that ChartIQ is the data visualization engine powering their new institutional platform.”

About Money.Net
Money.Net is a financial data and analytics company serving investors across virtually all asset classes. We help investors research, analyze and monitor financial markets in real-time with the support of next-generation technology. Our mission is to empower all investors with cost-effective access to professional-grade financial tools.

Spotlight

As more organizations are moving from proof of concept and experimentation to production deployments, the real work of deriving value from big data has begun — not only in a few social media or retail companies but also broadly across industries such as banking, communications, and healthcare. It is now time to move beyond the era of worshipping data scientists to develop strategy and execution plans that take into account the full business analytics life cycle from data preparation to acting on the results of analysis. This Vendor Spotlight examines the evolution of the big data market from the hype of the past few years to the pragmatic deployments of today and tomorrow. It also looks at how Infogix solutions can address these challenges and considerations.


Other News
BUSINESS INTELLIGENCE,BIG DATA MANAGEMENT,DATA SCIENCE

Syniti Announces Partnership with Global IT Solutions Aggregator TD SYNNEX

Syniti | September 01, 2022

Syniti, a global leader in enterprise data management, announced today a new partnership with TD SYNNEX, a global IT distributor and solutions aggregator formed through the merger of Tech Data and Synnex. This partnership will provide enterprises with new access to Syniti's award-winning data management solutions. The first solution available through this new partnership is Syniti Replicate, a data replication software with change data capture that enables the timely, relevant data enterprises need to make critical business decisions and support transformative experiences. Having accurate, decision-relevant information available quickly is crucial for many tasks in enterprises of all sizes, whether that's running high-speed analytics or supporting business intelligence applications. With Syniti Replicate, enterprises can: Deliver fresh data to analytics and decision makers to get immediate insights Reduce stress on production systems enabling improved overall system performance Migrate data away from difficult to access legacy systems meaning users can access data faster Democratize data across the entire organization with the consolidation of data from numerous sources into a central data lake With a user-friendly, wizard-based graphic interface, configuration is faster and easier which means businesses can more quickly deploy and may see immediate benefits. Syniti Replicate requires no coding, stored procedures or proprietary syntax to set up, which lessens the burden on internal IT teams. The software has extensive security including user and certificate authentication and supports dozens of relational databases as sources and targets, including Amazon, Oracle, SAP and Snowflake, with no additional programming. "We chose to partner with TD SYNNEX for their ability to support the growth and expansion of Syniti's direct solutions, including Syniti Replicate. More organizations can now benefit from our world-class replication engine, getting the real-time data they need to make critical business decisions and create differentiated experiences." Brian Haering, Vice President, Direct Solutions, Syniti Cheryl Neal, Vice President, Vendor Acquisition and Global Solutions, TD SYNNEX, said, "TD SYNNEX is committed to uniting IT solutions that deliver business outcomes today and unlock growth for the future. With Syniti added to our portfolio of vendor partners and providing our first data replication software capability, we're able to enrich the breadth and depth of our offerings so customers can realize business outcomes faster with their data. Syniti Replicate is available as a standalone solution or included as a component of the Syniti Knowledge Platform. About Syniti Syniti solves the world's most complex data challenges by uniquely combining intelligent, AI-driven software and vast data expertise to yield certain and superior business outcomes. For over 25 years, Syniti has partnered with the Fortune 2000 to unlock valuable insights that ignite growth, reduce risk and increase their competitive advantage. Syniti's silo-free enterprise data management platform supports data migration, data quality, data replication, master data management, analytics, data governance, and data strategy in a single, unified solution. Syniti is a portfolio company of private equity firm Bridge Growth Partners LLC. Read more at www.Syniti.com. About TD SYNNEX TD SYNNEX is a leading global distributor and solutions aggregator for the IT ecosystem. We're an innovative partner helping more than 150,000 customers in 100+ countries to maximize the value of technology investments, demonstrate business outcomes and unlock growth opportunities. Headquartered in Clearwater, Florida, and Fremont, California, TD SYNNEX' 22,000 co-workers are dedicated to uniting compelling IT products, services and solutions from 1,500+ best-in-class technology vendors. Our edge-to-cloud portfolio is anchored in some of the highest-growth technology segments including cloud, cybersecurity, big data/analytics, IoT, mobility and everything as a service. TD SYNNEX is committed to serving customers and communities, and we believe we can have a positive impact on our people and our planet, intentionally acting as a respected corporate citizen. We aspire to be a diverse and inclusive employer of choice for talent across the IT ecosystem.

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BIG DATA MANAGEMENT

IBM Aims to Capture Growing Market Opportunity for Data Observability with Databand.ai Acquisition

IBM | July 07, 2022

IBM today announced it has acquired Databand.ai, a leading provider of data observability software that helps organizations fix issues with their data, including errors, pipeline failures and poor quality — before it impacts their bottom-line. Today's news further strengthens IBM's software portfolio across data, AI and automation to address the full spectrum of observability and helps businesses ensure that trustworthy data is being put into the right hands of the right users at the right time. Databand.ai is IBM's fifth acquisition in 2022 as the company continues to bolster its hybrid cloud and AI skills and capabilities. IBM has acquired more than 25 companies since Arvind Krishna became CEO in April 2020. As the volume of data continues to grow at an unprecedented pace, organizations are struggling to manage the health and quality of their data sets, which is necessary to make better business decisions and gain a competitive advantage. A rapidly growing market opportunity, data observability is quickly emerging as a key solution for helping data teams and engineers better understand the health of data in their system and automatically identify, troubleshoot and resolve issues, like anomalies, breaking data changes or pipeline failures, in near real-time. According to Gartner, every year poor data quality costs organizations an average $12.9 million. To help mitigate this challenge, the data observability market is poised for strong growth.1 Data observability takes traditional data operations to the next level by using historical trends to compute statistics about data workloads and data pipelines directly at the source, determining if they are working, and pinpointing where any problems may exist. When combined with a full stack observability strategy, it can help IT teams quickly surface and resolve issues from infrastructure and applications to data and machine learning systems. Databand.ai's open and extendable approach allows data engineering teams to easily integrate and gain observability into their data infrastructure. This acquisition will unlock more resources for Databand.ai to expand its observability capabilities for broader integrations across more of the open source and commercial solutions that power the modern data stack. Enterprises will also have full flexibility in how to run Databand.ai, whether as-a-Service (SaaS) or a self-hosted software subscription. The acquisition of Databand.ai builds on IBM's research and development investments as well as strategic acquisitions in AI and automation. By using Databand.ai with IBM Observability by Instana APM and IBM Watson Studio, IBM is well-positioned to address the full spectrum of observability across IT operations. For example, Databand.ai capabilities can alert data teams and engineers when the data they are using to fuel an analytics system is incomplete or missing. In common cases where data originates from an enterprise application, Instana can then help users quickly explain exactly where the missing data originated from and why an application service is failing. Together, Databand.ai and IBM Instana provide a more complete and explainable view of the entire application infrastructure and data platform system, which can help organizations prevent lost revenue and reputation. "Our clients are data-driven enterprises who rely on high-quality, trustworthy data to power their mission-critical processes. When they don't have access to the data they need in any given moment, their business can grind to a halt. "With the addition of Databand.ai, IBM offers the most comprehensive set of observability capabilities for IT across applications, data and machine learning, and is continuing to provide our clients and partners with the technology they need to deliver trustworthy data and AI at scale." Daniel Hernandez, General Manager for Data and AI, IBM Data observability solutions are also a key part of an organization's broader data strategy and architecture. The acquisition of Databand.ai further extends IBM's existing data fabric solution by helping ensure that the most accurate and trustworthy data is being put into the right hands at the right time – no matter where it resides. "You can't protect what you can't see, and when the data platform is ineffective, everyone is impacted –including customers," said Josh Benamram, Co-Founder and CEO, Databand.ai. "That's why global brands such as FanDuel, Agoda and Trax Retail already rely on Databand.ai to remove bad data surprises by detecting and resolving them before they create costly business impacts. Joining IBM will help us scale our software and significantly accelerate our ability to meet the evolving needs of enterprise clients." Headquartered in Tel Aviv, Israel, Databand.ai employees will join IBM Data and AI, further building on IBM's growing portfolio of Data and AI products, including its IBM Watson capabilities and IBM Cloud Pak for Data. Financial details of the deal were not disclosed. The acquisition closed on June 27, 2022. About Databand.ai Databand.ai is a product-driven technology company that provides a proactive data observability platform, which empowers data engineering teams to deliver reliable and trustworthy data. Databand.ai removes bad data surprises such as data incompleteness, anomalies, and breaking data changes by detecting and resolving issues before they create costly business impacts. Databand.ai's proactive approach ties into all stages of your data pipelines, beginning with your source data, through ingestion, transformation, and data access. Databand.ai serves organizations throughout the globe, including some of the world's largest companies in entertainment, technology, and communications. Our focus is on enabling customers to extract the maximum value from their strategic data investments. Databand.ai is backed by leading VCs Accel, Blumberg Capital, Lerer Hippeau, Differential Ventures, Ubiquity Ventures, Bessemer Venture Partners, Hyperwise, and F2. About IBM IBM is a leading global hybrid cloud and AI, and business services provider, helping clients in more than 175 countries capitalize on insights from their data, streamline business processes, reduce costs and gain the competitive edge in their industries. Nearly 3,800 government and corporate entities in critical infrastructure areas such as financial services, telecommunications and healthcare rely on IBM's hybrid cloud platform and Red Hat OpenShift to affect their digital transformations quickly, efficiently, and securely. IBM's breakthrough innovations in AI, quantum computing, industry-specific cloud solutions and business services deliver open and flexible options to our clients. All of this is backed by IBM's legendary commitment to trust, transparency, responsibility, inclusivity, and service.

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BUSINESS STRATEGY

BangDB launches APIs for AI, Graph and Stream processing for emerging use cases in data analytics

BangDB | July 08, 2022

AI database firm BangDB has launched the REST APIs for its converged data platform. BangDB is the world's highest performance database which makes it highly suitable for modern applications that require predictive real-time analysis for fast moving data from devices, sensors and machines. By bringing AI, Stream Processing, Graph and the database together in a single product, BangDB has created a modern stack to disrupt the data analysis market. Graph processing with integrated AI and Stream is the way forward to tackle emerging requirements and use cases. Majority of the data will originate from devices in various shapes and sizes, coming from all directions in high speed. The context of the data will be extremely crucial for extracting the intelligence as quickly as possible. Correlation across various data points, events spanned over massive space would be key to data processing. Natural groups, networks and connections in time and space would be invaluable. To mine these in a productive manner, users need a simple abstraction and interface which hides all complexities and provides an efficient way to deal with the challenge. BangDB is designed for emerging use cases which deals with Edge and Cloud computing in real-time in various different domains like IOT, FinTech, Log analysis, Supply Chain, etc. BangDB is available on Cloud, or on-prem, or even can be embedded in devices for true Edge computing. It has a user base of over 100K and is increasing rapidly. BangDB community edition is totally free, with a cloud subscription model and one month trial period. BangDB works with several enterprises with its custom license model. BangDB is all set to release its own AppStore with ready-made custom solutions in a few months. BangDB was founded as part of IQLECT in 2015 by Sachin Sinha and is based in Bangalore. It is an Artificial Intelligence (AI) based converged database platform which aligns with the current & future data trends in the market. BangDB has been developed from the ground up and owns over a dozen patents in data processing. It has over 100K users across the world with several leading enterprises as clients. BangDB is backed by several VCs like Exfinity and VentureEast along with prominent angels Lip-Bu Tan, Michael Marks, Nicholas B, Pradeep Khosla.

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BIG DATA MANAGEMENT

Eccovia Launches ClientInsight, an AI-Powered Data Warehouse to Improve Social Service Delivery

Eccovia | July 26, 2022

Eccovia, a leading provider of cloud-based SaaS solutions for the health and human services sector, announces the release of an unprecedented data warehouse and community-analytics platform, ClientInsight. ClientInsight is hosted in Microsoft Azure and is a premier solution for data quality, performance, and actionable insights. Since the COVID-19 pandemic began, our nation’s most vulnerable populations have faced adverse outcomes to their social determinants of health. In addition to a new pathogen in the public, domestic violence increased, as did homelessness. Data availability became a national topic of conversation as COVID-19 case counts rose, and there was never a greater need for increased access to timely data in the realm of social services. We now know the result of data that is incomplete, siloed, or “stale.” Data has to be available when needed, and the inequities in data availability were highlighted by the pandemic, as were the needs to address systemic issues in care coordination. With the launch of ClientInsight, social-services dashboards and data from across communities can integrate into a single source of truth, leading to a more holistic approach to addressing the needs of vulnerable populations, true coordinated entry, and effective care coordination. ”ClientInsight is really the first-ever platform that will be able to help tie organizational data, collected every single day, to outcomes and progress that providers hope and expect to see. This is a true gamechanger that will allow community providers to set and meet more ambitious goals in their respective fights to end society’s most pressing issues.” CEO, Carl Champagne Data-privacy laws require secure access points to client data, yet networks that serve multiple populations must be able to share this data between organizations for care coordination. ClientInsight closes the gap between data privacy and care coordination, allowing providers to serve their clients' needs with a more knowledgeable, integrated level of care. About Eccovia Eccovia provides industry-leading software platforms for case management and community care coordination for state agencies, community-based providers, and other human-service entities. The platforms help caseworkers and care providers collaborate across physical, behavioral, economic, and social determining factors that impact individual and community health outcomes.

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Spotlight

As more organizations are moving from proof of concept and experimentation to production deployments, the real work of deriving value from big data has begun — not only in a few social media or retail companies but also broadly across industries such as banking, communications, and healthcare. It is now time to move beyond the era of worshipping data scientists to develop strategy and execution plans that take into account the full business analytics life cycle from data preparation to acting on the results of analysis. This Vendor Spotlight examines the evolution of the big data market from the hype of the past few years to the pragmatic deployments of today and tomorrow. It also looks at how Infogix solutions can address these challenges and considerations.

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