BUSINESS INTELLIGENCE,BIG DATA MANAGEMENT
P360 | September 09, 2022
P360, a leading technology developer for pharmaceutical companies, today unveiled that its BirdzAI data and analytics platform has been enhanced with four powerful new pre-built modules for Master Data Management, Insights & Analytics, Sales Operations and Marketing Operations. With these enhancements, BirdzAI’s next-generation ecosystem supports pharmaceutical commercial operations with rapid, end-to-end data management capabilities, including the ingestion, storage, processing and analysis of data derived from commonly used sources like first and third-party prescription data, specialty pharmacy data feeds, CRM systems, marketing interactions reports and more.
“With BirdzAI’s new modules, we are giving pharmaceutical commercial operations the ability to generate insights, efficiencies and cost savings never before thought possible. “To do this, we first develop a state-of-the-art master data management ecosystem. From there, we incorporate advanced algorithms and workflows that enable sales and marketing teams to automate processes and arrive at faster, more reliable business decisions. And we do this in a way that enhances a company’s current systems.”
P360 Founder and CEO Anupam Nandwana
To help pharmaceutical companies develop an effective, AI-powered future, the team at P360 completely reimagined how the BirdzAI platform operates. The robust yet flexible solution integrates easily with any commercial operations workflow and creates a single source of truth by bringing all an organization’s sales and marketing data sources together into a state-of-the-art Master Data Management ecosystem. The platform comes with pre-built connectors to all major industry data sources and its advanced AI and machine learning algorithms then turn that data into insights for real-time sales and marketing operations decision-making, including forecasting, brand propensity analysis, next best action insights, customer alignment, customer and territory planning and sizing, incentive compensation strategy and much more. And for companies launching new commercial infrastructure, and bringing their first drug to market, BirdzAI helps with rapid implementation and rollout.
Although AI gets the lion’s share of headlines, the real magic begins at the data layer. An organization’s data often comes from a wide variety of sources and is touched by many people. If not effectively managed, this can result in redundant and even conflicting information. As your pharmaceutical commercial operation grows and becomes more complex, establishing processes and tools like BirdzAI for managing data at scale is essential.
“BirdzAI’s Master Data Management module helps pharmaceutical commercial operations to digitally transform effectively,” added Nandwana. “Building from a solid data foundation helps ensure the successful implementation of other technologies within the commercial operations workflow, including BirdzAI’s Insights & Analytics, Sales Operations and Marketing Operations modules. Whether you already have a solution or need a solution, BirdzAI brings it all together under one umbrella.”
BirdzAI’s agile and customizable modules include:
Master Data Management:
Modern Data Estate
Data Validation, Rules & Processes
Data Capture & Integration
Scalable while Maintaining Security and Compliance
Insights & Analytics:
Pre-built Machine Learning Models
Call Planning & Optimization
Segmentation, Optimization & Forecasting
Field Data Change Requests
Vendor Data Integration
Web & Digital Build Out
Reporting & Analytics
“Pharmaceutical commercial operations that incorporate these modules into their workflows, business models and services will be able to out-perform their competitors and will ultimately be the ones that thrive in our quickly evolving technology-powered landscape,” added Nandwana.
BirdzAI is built on Microsoft Azure and is compatible with existing commercial infrastructure and integrates seamlessly with leading CRM and ERP systems.
Delivering a 360 view through the pharma-to-physician ecosystem, P360 designs and deploys capabilities that ensure the highest efficiencies and returns on sales operations, data management, and IoT innovation. With expertise in supporting commercial operations for companies of all sizes, P360 has built an industry-leading platform that gives customers ownership of their data and the ability to leverage artificial intelligence and machine learning capabilities. For more information, visit P360.com.
Based in Piscataway Township, New Jersey, P360 is a leading technology developer for the life sciences industry. We specialize in technology that improves operational efficiency, enables end-to-end visibility, streamlines workflows and boosts physician engagement. Product offerings include the ZING Engagement Suite, BirdzAI, and Swittons.
BIG DATA MANAGEMENT,DATA SCIENCE
Qlik | September 27, 2022
Qlik® today announced two significant enhancements to its partnership with Databricks that make it easier than ever for customers to combine Qlik’s solutions and Databricks to advance their cloud analytics strategies. First is the launch of the Databricks Lakehouse (Delta) Endpoint, a new capability in Qlik Data Integration, which will simplify and improve customers' ability to ingest and deliver data to the Databricks Lakehouse. Second is the integration of Qlik Cloud® with Databricks Partner Connect, enhancing the Qlik Data Analytics trial experience with Databricks. Both deepen and expand the ability of customers to combine Qlik and Databricks in their efforts to leverage the cloud for impact.
“We’re excited about the potential of Qlik’s Databricks Lakehouse (Delta) Endpoint to seamlessly and efficiently deliver the data customers need to drive more value from their investment in the Databricks Lakehouse. “And, with Qlik Analytics now integrated with Databricks Partner Connect, we are making it even easier for customers to discover, use and share data-driven insights across their organizations.”
Roger Murff, VP of Technology Partners at Databricks
Leveraging Databricks SQL, Qlik’s Databricks (Delta) Endpoint optimizes the continuous and real-time data ingestion through Qlik Data Integration into Delta Lake on Databricks. This gives organizations the ability to cost effectively drive more data from a wide range of enterprise data sources, including SAP and Mainframe, into the Databricks Lakehouse while leveraging their cloud provider of choice such as Amazon Web Services (AWS), Google Cloud Platform (GCP) or Microsoft Azure.
Qlik has also recently integrated Qlik Cloud with Databricks Partner Connect. Databricks customers can now seamlessly experience Qlik Sense® SaaS within the Databricks Lakehouse Platform through an existing Qlik tenant or a free Qlik trial. The experience includes automatic configuration of connectivity to the customer’s Databricks environment, making it easier for Databricks customers to experience the power of Qlik Cloud.
Both the new Databricks Lakehouse (Delta) Endpoint and Partner Connect integration demonstrate Qlik’s commitment to supporting customers like J.B. Hunt in their efforts to combine Qlik and Databricks for impact.
“We’re seeing more demand for real-time data related to shippers and carriers in order to provide up-to-the-minute information on how they are performing. Qlik and Databricks help us to meet those demands,” said Joe Spinelle, Director of Engineering and Technology at J.B. Hunt.
“As they migrate more and more to the cloud, Databricks customers want strategic partners that make it as easy as possible to deliver and analyze data for impact,” said Itamar Ankorion, SVP of Technology Alliances at Qlik. “With our new Databricks Lakehouse Endpoint and Databricks Partner Connect integration, Qlik is clearly demonstrating its alignment with Databricks and our dedication to the Databricks community to deliver an amazing experience that furthers their overall data strategies.”
Qlik’s vision is a data-literate world, where everyone can use data and analytics to improve decision-making and solve their most challenging problems. A private company, Qlik offers real-time data integration and analytics solutions, powered by Qlik Cloud®, to close the gaps between data, insights and action. By transforming data into Active Intelligence, businesses can drive better decisions, improve revenue and profitability, and optimize customer relationships. Qlik serves more than 38,000 active customers in over 100 countries.
BIG DATA MANAGEMENT,DATA SCIENCE,MACHINE LEARNING
Pega | September 22, 2022
Pegasystems Inc., the low-code platform provider that builds agility into the world's leading organizations, today announced Pega Customer Data Connectors that enable clients to easily connect their existing customer data platforms (CDPs) and other signal providers to Pega Customer Decision Hub™. These connectors allow organizations to stream signals from high-value platforms like Adobe, Celebrus, and ZineOne, and activate customer insights in real time with AI-powered decisioning.
Many organizations use CDPs to manage an overwhelming influx of streaming data from customers, channels, and lines of business, with the goal of identifying customer intent and better predicting behavior. But CDPs alone lack the level of decisioning and orchestration required to truly optimize an end-to-end customer experience, so insights often sit untapped as data stagnates and quickly becomes useless.
To help brands operationalize that data more efficiently, Pega has introduced connectors between the market's top data providers and Pega Customer Decision Hub – the always-on 'brain' centralizing AI-powered decisioning across inbound, outbound, owned, and paid channels. These connectors allow organizations to input their most valuable data sources – such as streams of raw event data or curated behavioral signals – into Pega's real-time AI, then optimize customer interactions using next-best-action decisioning without being locked into a specific data vendor.
These out-of-the-box Pega Customer Data Connectors enable clients to activate well-curated data from many of the world's most popular platforms, including:
Adobe Experience Platform, by integrating Adobe profile and segment signals. The connector streams real-time segment membership data directly to Pega Customer Decision Hub, where it can be used to power machine learning models, define engagement policies, and power omnichannel next-best-action decisions.
ZineOne, by connecting ZineOne's in-session propensity-to-purchase scores with Pega's next-best-action decisioning. These scores help brands better target consumers who are likely to buy, flag on-the-fence customers for re-targeting, and trigger journey-specific actions – all without incurring incremental acquisition costs.
Celebrus, by integrating Celebrus' real-time data capture, identity management, and signal curation capabilities. Celebrus helps brands capture first-party data without tagging and convert that raw data into high-value intent signals. The connector feeds those insights to Pega, which uses its propensity modeling to identify and trigger relevant messages and help significantly increase response rates.
"Every day, companies leave a goldmine of insight on the table because their vendors lack the decisioning capabilities required to operationalize intent, impacting the customer experience. "At the same time, it's unrealistic to expect brands to replace the customer data solutions they've already invested in. That's why Pega is launching Pega Customer Data Connectors - to help clients activate data at its fullest potential, with the freedom to use their CDP of choice. They can feed in whatever event streams or curated signals make sense for their business and Pega's AI will help put it to work – and use the insights to build much deeper, more valuable customer relationships."
Matt Nolan, senior director, product marketing, Pega
Pega provides a powerful low-code platform that builds agility into the world's leading organizations so they can adapt to change. Clients use our AI-powered decisioning and workflow automation to solve their most pressing business challenges – from personalizing engagement to automating service to streamlining operations. Since 1983, we've built our scalable and flexible architecture to help enterprises meet today's customer demands while continuously transforming for tomorrow.