BUSINESS INTELLIGENCE

360factors Launches Tableau Embedded Analytics

360factors | March 04, 2022

360factors
The American Bankers Association-endorsed risk and compliance platform for financial organizations, Predict360, now includes Tableau's Incorporated Analytics for business intelligence analytics and reporting, according to 360factors, Inc., the industry leader in risk and compliance intelligence software.

Justin Saint Clair, Vice President of Product Management, Tableau, said that "Tableau is committed to enabling any developer to transform their application into an analytical app that provides their users with best-in-class analytics within the end-user workflow. Trust is a core value at Tableau and we're excited to see how 360factors is leveraging our leading developer platform for analytics to empower customers with data and to confidently make better risk and compliance decisions."

"Feedback from our customers has been highly favorable as a majority of our banking and financial industry customers already use Tableau. Empowering customers with meaningful risk and compliance analytics, dashboards, and reports within Predict360 is a game-changer for our industry, and we are thrilled to be the first 'GRC' to offer Tableau Embedded Analytics included as part of a GRC or IRM platform."

Carl McCauley, CEO at 360factors

Spotlight

Social media won’t replace current sources for intelligence gathering but is a strong complement and can help organizations make better, more informed business decisions. The challenge is in understanding how to incorporate this data, which is quite different in format from the typical data we gather, store and analyze within an Enterprise Data Warehouse, and then process it effectively.

Spotlight

Social media won’t replace current sources for intelligence gathering but is a strong complement and can help organizations make better, more informed business decisions. The challenge is in understanding how to incorporate this data, which is quite different in format from the typical data we gather, store and analyze within an Enterprise Data Warehouse, and then process it effectively.

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BIG DATA MANAGEMENT

Snowflake Recognizes Dataiku as Data Science Partner of the Year

Dataiku | June 19, 2021

At this week’s virtual partner summit, Snowflake recognised Dataiku as the Data Science Partner of the Year. Dataiku is one of the world’s leading AI and machine learning platforms while Snowflake is a Data Cloud Company. Dataiku and Snowflake have been in a long term partnership with Dataiku’s deep integrations with Snowflake have allowed the two companies to deliver enterprise-ready AI capabilities enabling customers to easily build, deploy, and monitor varied data science project that includes machine learning and deep learning. As Dataiku is an integral part of the Snowflake Data Cloud ecosystem, Snowflake customers can easily harness the value of advanced analytics and AI-driven applications. The customers can attain a distinctive visual interface that allows collaboration across a broad range of users that allows business users and data teams to leverage and access the Data Cloud to create data pipelines, strong predictive analytics, and powerful applications driven by AI. Dataiku and Snowflake announced their partnership in November 2020, and in April 2021, Snowflake Ventures had invested in Dataiku. Dataiku is an Elite partner (the highest tier of Snowflake partners), and it had recently received Tech Ready status for its optimization of Snowflake integrations with an emphasis on functional and performance best practices. There are Snowflake-native integrations offered by Dataiku that includes authentication, native connectivity, data loading, data transformation, and push-down from Dataiku to Snowflake compute for feature engineering and write-back predictions to Snowflake. Dataiku’s designation as Data Science Partner of the Year by Snowflake demonstrates both the companies’ commitment to delivering a best-in-class experience for their joint customers that include more than 80 companies including Novartis and DAZN. This powerful combination of Snowflake’s performance, almost unlimited scale and concurrency with Dataiku’s machine-learning, and model management competencies has enhanced the AI capabilities of customers throughout the industries. After the launch of Dataiku Online with Snowflake, a SaaS offering of Dataiku that is pre-integrated with Snowflake, it brought a rapid integration of customer data and fast time-to-value for all customers, big and small. Any further innovation between Snowflake and Dataiku will enable joint customers to rapidly access new cloud data vital in generating powerful AI-driven applications and resilient processes. The customers will get to take advantage of use-based, per-second pricing on Snowflake’s platform for data processing, AI development, and running data and AI pipelines in production. The new developer experience of Snowpark will further enhance the partnership between the two. Snowpark is still in preview but once completed, will allow data scientists and engineers, and developers to write code in their languages like Scala, Java, and Python utilizing familiar programming concepts and then execute workloads like data transformation, data preparation, and feature engineering on Snowflake. About Dataiku Dataiku is one of the world’s leading AI and machine learning platforms that support agility in organizations’ data efforts via collaborative, elastic, and responsible AI, all at an enterprise scale. Dataiku is being used by hundreds of companies worldwide to support their essential business operations and make sure they stay relevant in a constantly changing world. This includes model driving fraud detection, customer churn prevention, predictive maintenance, supply chain optimization, etc. Companies that are looking to democratize AI across their organization, bringing agility and readiness to the business by using data right from data scientists to analysts.

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BIG DATA MANAGEMENT

Databricks Launches Partner Connect to Open and Extend the Lakehouse Ecosystem

Databricks | November 19, 2021

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DATA SCIENCE

Equity Data Science Appoints Theresa Elamparo as Head of Marketing

Equity Data Science | December 06, 2021

Equity Data Science (“EDS”), a cloud-based analytics platform provider that delivers decision support tools for the investment process to hedge funds and asset managers, has named Theresa Elamparo as Head of Marketing to accelerate the company’s business strategy and growth plan. Elamparo will lead all brand, marketing and communications strategies to continue to build the brand and to focus on the expansion of the business. She will be based in New York. Elamparo brings 23 years of marketing communications experience, serving the fintech community for 16 years, most recently as Chief Marketing Officer at Tier1 Financial Solutions where she was the recipient of the 2019 Markets Media Women in Finance award for Excellence in Marketing and Communications for her work leading Tier1’s rebrand and building the firm’s marketing organization. Prior to that, she held marketing leadership roles at fintech firms including Ipreo, Investment Technology Group and Tradeweb Markets. We are thrilled to have Theresa join our leadership team. Her wealth of experience within the financial services industry and strategic marketing expertise will be integral to expanding our global footprint as we deliver on growing demand for data aggregation, analytics, workflow and scalable decision support for the fundamental investment process.” Greg McCall, President and Co-founder at EDS “I’m delighted to join EDS at such an exciting time,” Elamparo said. “The fundamental investment community is faced with fragmentation, underutilized data and technical inefficiencies. EDS provides a modular, decision-support workflow platform for the full investment lifecycle, helping clients better manage their process to maximize returns.” Throughout 2021, EDS invested heavily in building out solid leadership across key functions, including the appointment of Jen Vermeulen, CFA as Head of Sales, and Erin Greenfield as Head of Customer Success. These recent appointments strengthen EDS’s ability to expand its position in fundamental investing. At the start of the year, Northern Trust announced a strategic investment in EDS, allowing for integration of EDS’s decision-support tools with Northern Trust’s core technology platforms to provide highly specialized and innovative solutions to the most sophisticated institutional investors across the globe. ABOUT EQUITY DATA SCIENCE Equity Data Science (EDS) empowers fundamental investors to build, operate and sustain a modernized, repeatable investment process by aggregating data sources and refining workflows to govern investment decisions. EDS provides a fully configurable, measurable, and scalable platform with purpose-built analytics to support idea generation, research management, portfolio construction and risk management

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