BIG DATA MANAGEMENT

PulsePoint Announces the Launch of Signal Platform to Unify Health Marketing Data Analytics and Performance Measurement

PulsePoint | November 13, 2020

PulsePoint, a technology company using real-time data to accelerate health marketing, today announced the launch of Signal by PulsePoint™, a comprehensive, real-time, physician-to-patient data insights platform designed to address healthcare companies' challenges around aggregating, cleaning and segmenting health marketing data sets. The Signal platform enables healthcare marketers to add granularity and dimension to their own first- or third-party data sets and also to cross reference these data sets against PulsePoint's digital determinants of health. With Signal, marketers get real-time access to consolidated insights which are essential to improving cross-channel performance while also driving up important metrics like return on ad spend (ROAS).

The advanced digital analytics and insights available on Signal represent significant improvements over the ways healthcare marketers currently measure campaign impact.

  • More integrated measurement. Signal eliminates fragmentation in media measurement by integrating the various inputs into understanding how, when and where an individual interacts with a health brand across all website, email, digital and search campaigns. Brands using Signal get a single cross-channel view of customer responsiveness, intent and action with a clean and intelligent business visualization tool.
  • Fresher data, faster access, greater confidence. By integrating real time digital data with various 3rd party health data sources, Signal is able to deliver more reliable marketing feedback within seconds. It currently takes solutions in market months to share, clean and combine the various data sets needed to understand marketing attribution and real-world impact, with a high margin of error.
  • Improved activation. Signal's measurement, analytics and predictive solutions power PulsePoint's ability to proactively use microdata to deliver personalized sequential HCP and DTC messaging across format, device and channel at each stage of the health journey on the Life by PulsePoint™ platform.

The company's first solution on the Signal platform, HCP365, was recently named Best Data Measurement solution by MarTech Breakthrough, a market intelligence organization that recognizes the top companies, technologies and products in the global marketing technology industry. HCP365 delivers a full longitudinal view of the HCP journey and provides multi-channel marketing performance across verified HCP audiences at the NPI level. Health brands use this data for multi-attribution and marketing mix modeling to understand where spend is most efficient. Brands also use HCP365 data proactively to customize sales messaging and longitudinal digital journeys.

"HCP365 provides the granular insights necessary for us to customize HCP engagement strategies by segment. We're able to take digital activity tied to an NPI number and find useful insights for future marketing investments," said Ray Rosti, Chief Digital Officer at Publicis Health Media.

"PulsePoint's entry into the $34B health data market is grounded in providing advanced digital analytics to healthcare companies to understand and drive better health outcomes," said Chris Neuner, Chief Strategy Officer of PulsePoint. "With the most intelligent view of health audiences that will refine and improve over time, Signal notably simplifies business operations around the use of that data. With Signal, clients don't have to build out complex, expensive marketing analytics infrastructures," added Neuner.

About PulsePoint

We are a technology company using real time data to transform healthcare. Through machine learning and programmatic automation, we interpret the hard-to-read signals of the health journey to understand the connection points between relevance and engagement. We do this by unifying real-time Digital Determinants of Health™, offline and clinical data to create a unique and precise view of health audiences that refines, improves and increases its view over time.

Spotlight

Data is all around us, but it’s up to data scientists and data science teams to turn that data into something meaningful and valuable. In order to accomplish this goal, it’s very important that they have the right tools at their disposal. When sourcing the tools they need, today’s data scientists frequently turn to open source technologies. While these can be an important source of innovation and value, it can be difficult for a data scientist to assemble different open source capabilities into a single functioning environment. Instead, they typically end up with a disjointed collection of tools, filled with silos and bottlenecks. This disjointed experience may impair collaboration and productivity.


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BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT, BUSINESS STRATEGY

Commvault Decreases Gap in Data Governance, Risk, and Compliance with Metallic® File & Object Archive

Commvault | November 04, 2022

Commvault, a global enterprise leader in data management across on-premises, cloud, and SaaS environments, today announced a new approach to data protection with the launch of Metallic® File & Object Archive, a Data Management as a Service (DMaaS) solution designed to lower storage costs, while cost-effectively transforming how organizations navigate the world of Governance, Risk, and Compliance (GRC). Global and industry GRC-related regulations are constantly changing, creating gaps in an organization's ability to manage data across live and backup sources, resulting in a lack of visibility and insights, data sprawl, and greater opportunities for data vulnerabilities. Coupled with major shortages in IT staff and strict budget constraints, organizations are struggling, using multiple solutions to meet compliance guidelines and keep their data protected. "When you look at the sheer numbers and cost models for data compliance and protection over the long term, it's clear that throwing more high-performance storage at the problem won't make it go away. "Archiving needs to be considered not just for the inherent time and cost savings over the long term, but also as an air-gapped solution in an enterprise's overall data resilience strategy." Johnny Yu, research manager at IDC Announced at Commvault Connections 2022 and available next quarter, Metallic File & Object Archive directly addresses the need for deep insights into critical data with archive modeling delivered as SaaS with air gapped protection. It is a comprehensive solution for cost-effective data placement leveraging data insights, access controls, tagging, metadata search, audit trails, and reports to help manage compliance needs over a large amount of unstructured data. The result is a lower cost solution that helps reduce the risk of non-compliance. With predictable cost modeling, actionable data insights, flexible bring your own storage options, and compliance-ready operations, Metallic File & Object Archive enables organizations to lower costs, meet compliance needs, and reduce management overhead with the simplicity of SaaS. Metallic File & Object Archive will be discussed in more detail during the Connections session, "More Data, More Risk? Introducing Our Latest SaaS-Delivered Data Service." Register here to listen in and attend the interactive experience. About Commvault Commvault is a global leader in data management. Our Intelligent Data Services help your organization do amazing things with your data by transforming how you protect, store, and use it. We provide a simple and unified Data Management Platform that spans all your data – regardless of where it lives (on-premises, hybrid, or multi-cloud) from legacy to modern workloads. Commvault solutions are available through any combination of software subscriptions, integrated appliances, partner-managed, or Software-as-a-Service via our Metallic portfolio. For over 25 years, more than 100,000 organizations have relied on Commvault to keep their data secure, assessable, and ready to drive business growth.

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BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT

Dynata Hires New CEO to Lead Next Stage of Company Growth

Dynata | November 01, 2022

Dynata today announced it has appointed Mike Petrullo as chief executive officer (CEO), effective immediately. Petrullo succeeds Gary S. Laben, who served more than six years as CEO and led the company's transformational journey to becoming the world's largest first-party data platform for insights, activation and measurement. Dynata has shaped a new model for the insights and marketing industry. The company has expanded from using first-party data to generate insights to more broadly leveraging those insights to activate marketing campaigns and measure results at scale. Dynata's transformation was recognized by clients and peers as the No. 1 Most Innovative Supplier in GreenBook's 2022 GRIT Top 50 report released in September, in addition to earning the top spots in the Data & Analytics and Field Service provider categories — the core strengths of Dynata's business. Petrullo joins Dynata at a pivotal juncture in its strategic transformation. He brings more than 30 years' global executive-level experience in the business services and technology arenas, with particular focus on strategic planning, operational excellence, process improvement and change management. His background encompasses both high-growth environments, including building businesses organically and through mergers and acquisitions, and transformational environments, having successfully integrated large, complex businesses. Most recently, he served more than seven years as a member of the board of directors of DISA Global Solutions, and four years as CEO of Dodge Data & Analytics, a leading data, analytics and intelligence provider. Before joining Dodge, Petrullo served five-plus years as CEO and president of HireRight Solutions, Inc., a unified global software and data platform, and one of the world's top providers of pre-employment screening. "I'm thrilled to join Dynata and build on the accomplishments and extraordinary work that's helped differentiate our business in the industry," Petrullo said. "We'll continue to empower our team members to deliver the highest-quality services to our clients. And as our industry evolves, we'll focus relentlessly on growing Dynata by investing in innovative products and solutions, and expanding our industry leadership in high-quality, fully permissioned first-party data — the cornerstone for accurate and actionable insights." About Dynata Dynata is the world's largest first-party data platform for insights, activation and measurement. With a reach that encompasses nearly 70 million consumers and business professionals globally, and an extensive library of individual profile attributes collected through surveys, Dynata is the cornerstone for precise, trustworthy quality data. The company has built innovative data services and solutions around its robust first-party data offering to bring the voice of the customer to the entire marketing continuum — from uncovering insights to activating campaigns and measuring cross-channel marketing ROI. Dynata serves more than 6,000 market research, media and advertising agencies, publishers, consulting and investment firms and corporate customers in North America, South America, Europe and Asia-Pacific.

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BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT

Privacera Expands Data Governance Capabilities for Cloud Data Lakes with Native Aws Lake Formation Integration

Privacera | September 12, 2022

Privacera, the unified data access governance leader founded by the creators of Apache Ranger™, today announced the availability of its AWS Lake Formation integration in private preview, which offers complete data governance automation and fine-grained data access for AWS services including Amazon S3, Amazon Redshift and Amazon RDS. Privacera helps enterprise data teams protect sensitive data and enable privacy across all on-premise, hybrid and multi-cloud data sources while reducing time to insights by automating outdated, manual governance processes. Privacera is expanding its support and native integration for diverse AWS environments with the new AWS Lake Formation integration to simplify data access governance for complex and heterogeneous data lake and data mesh environments by extending Lake Formation enforcement to third-party services like Databricks, enabling additional governance use-cases. With this new integration, organizations will be able to accelerate their migration to the cloud by leveraging Privacera to securely manage data access policies within a single governance platform across diverse on-premise and cloud data sources. This will significantly reduce the efforts around data migrations to the cloud through increased automation and consistent policy management, and the ability to ensure compliance through an open, consistent and proven standard. "Organizations operate in diverse data ecosystems, and it's becoming increasingly challenging to not only manage the data from a governance perspective, but ensure that organizations are gleaning timely insights securely through appropriate access controls and automation, and that's why Privacera exists," said Privacera CEO Balaji Ganesan. "As an AWS partner, expanding our capabilities with this new integration allows us to deliver a solution that leverages the strengths of both Privacera and AWS Lake Formation, helping organizations with a secure and simple approach to data access while delivering business value." The latest integration will give users: A unified data governance strategy including your lake formation data assets AWS Lake Formation policy enforcement extended to popular data analytics systems like Databricks An intuitive and easy-to-use interface to build data access policies on top of AWS Lake Formation Financial services company Sun Life uses Privacera to accelerate AWS migration and unify data access governance and compliance. "Because Apache Ranger is critical to the success of our entire analytics platform, so is Privacera as it allows us to capitalize on existing technology and deliver critical data to our analytic teams quicker," said a Director of Cloud Infrastructure & Operations at Sun Life. "Our goal was to get our data into a data lake as quickly as possible and then apply access rules so approved Sun Life professionals can actually use the data to generate important insights. Requests that used to take three to four weeks to program can now be reacted to in less than two days." About Privacera Founded in 2016 by the creators of Apache Ranger™, Privacera's SaaS-based data security and governance platform enables analytics teams to simplify data access, security, and privacy for data applications and analytical workloads. The Privacera platform supports compliance with regulations such as GDPR, CCPA, LGPD, and HIPAA. Privacera provides a unified view and control for securing sensitive data across multiple cloud services such as AWS, Azure, Databricks, GCP, Snowflake, and Starburst. The Privacera platform is utilized by Fortune 500 customers across finance, insurance, life sciences, retail, media, and consumer industries, as well as government agencies to automate sensitive data discovery, mask sensitive data, and manage high-fidelity policies at petabyte scale on-premises and in the cloud.

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BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT

Treasure Data Works with Amazon Marketing Cloud to Develop Turn-Key Integration to Enrich Customer Experiences

Treasure Data | October 31, 2022

Treasure Data, an award-winning enterprise customer data platform (CDP), today announced an integration with Amazon Marketing Cloud, a clean room solution by Amazon Ads, to help advertisers better understand audience segments, advertising performance, and streamline insight generation. Treasure Data is the first CDP vendor integrated with Amazon Marketing Cloud. Marketers are increasingly using CDPs to maintain their first party CRM information. At the same time, it is estimated that 80% of advertisers with media budgets of $1 billion or more plan to utilize clean rooms by 2023. To help advertisers acquire more value from their clean room experiences, this seamless integration between Treasure Data's CDP and Amazon Marketing Cloud, enables enterprises to develop richer and more timely insights for optimized marketing, advertising, and campaign investments. "As a pioneer in the CDP industry, Treasure Data is honored to be the first customer data platform to have completed this unique integration with Amazon Marketing Cloud. "The integration helps our customers to increase the overall effectiveness of their marketing and advertising campaigns with this global and privacy-safe solution." John Baudino, Vice President of Partnerships at Treasure Data Treasure Data customers using Amazon Ads for campaigns will now be able to easily send curated audiences to Amazon Marketing Cloud for enhanced and aggregated and anonymized insights such as audiences' in-market groups, lifestyle cohorts, and brand engagement patterns. The enriched segments derived from Amazon Marketing Cloud insights can then be used to fine-tune audience strategy for an advertiser's Amazon DSP campaigns. Audience insights returned are aggregated and anonymous. Features enabled through the integrations will be available to customers through the Treasure Data Marketplace. About Treasure Data Treasure Data Customer Data Cloud helps enterprises use all of their customer data to improve campaign performance, achieve operational efficiency, and drive business value with connected customer experiences. Our suite of customer data platform solutions integrates customer data, connects identities in unified customer profiles, applies privacy, and makes insights and predictions available for Marketing, Service, Sales and Operations to drive personalized engagement and improve customer acquisition, sales, and retention.

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Spotlight

Data is all around us, but it’s up to data scientists and data science teams to turn that data into something meaningful and valuable. In order to accomplish this goal, it’s very important that they have the right tools at their disposal. When sourcing the tools they need, today’s data scientists frequently turn to open source technologies. While these can be an important source of innovation and value, it can be difficult for a data scientist to assemble different open source capabilities into a single functioning environment. Instead, they typically end up with a disjointed collection of tools, filled with silos and bottlenecks. This disjointed experience may impair collaboration and productivity.

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