Pega Introduces Pega Customer Data Connectors for Deeper, AI-Powered Data Analysis and Better Customer Outcomes

Pega | September 22, 2022 | Read time : 03:00 min

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

About 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.


CIOs are turning to managed security services (MSS) to centralize data control and extend network defense. Analyst firm IDC reports that CenturyLink meets key considerations for an MSS provider. As threats evolve, your security approach must too. The dynamic landscape of hybrid IT, cloud, big data and an increasingly mobile workforce requires deploying security at the network level. Leverage the comprehensive security services offered by CenturyLink including threat intelligence, advanced analytics and network-based detection to accelerate your digital transformation.


CIOs are turning to managed security services (MSS) to centralize data control and extend network defense. Analyst firm IDC reports that CenturyLink meets key considerations for an MSS provider. As threats evolve, your security approach must too. The dynamic landscape of hybrid IT, cloud, big data and an increasingly mobile workforce requires deploying security at the network level. Leverage the comprehensive security services offered by CenturyLink including threat intelligence, advanced analytics and network-based detection to accelerate your digital transformation.

Related News


Aporia & ClearML Launch New Full-Stack MLOps Platform Partnership

Aporia | November 07, 2022

Aporia, the customizable ML observability platform, and ClearML, the only unified end-to-end MLOPs platform to develop, orchestrate, and automate ML workflows at scale, announced an end-to-end solution today to help data scientists, ML engineers and DevOps teams perfect their ML pipelines. Through this new partnership, Data scientists and DevOps teams will be able to use the combined power of ClearML and Aporia to significantly shorten their time-to-value and time-to-revenue by ensuring ML projects are executed successfully and make it to commercial production more efficiently – from building to deployment and monitoring. As data scientists and ML engineers work to create applications that drive value, ML teams must jump through numerous hoops – from data experimentation and tracking to data operations and orchestrating – until a model is ready for production. With so many moving parts involved in operationalizing ML at scale, too much time is invested in learning how to use and integrate the required point solution tool for each stage of the process. Data science, ML engineers and DevOps teams need a frictionless one-stop-shop, end-to-end integrated solution that optimizes their entire workflow from training to production throughout the entire ML value chain. "As an open source company dedicated to giving the data science, ML engineering, and DevOps communities the tools they need to do more with their machine and deep learning projects, we're excited to integrate with Aporia to add cloud-native ML observability to our unified, end-to-end MLOPs platform. "The result of this joint effort means that our customers can do even more from the very start without the friction – using ClearML to build, train, orchestrate, and serve their models seamlessly and with just two lines of code and Aporia to monitor, explain, and improve those models once they hit production. Moses Guttman, CEO and Co-founder of ClearML ClearML is an open-source MLOps platform that automates and simplifies developing and managing machine learning solutions for data science, ML engineers and DevOps teams at scale. Designed as a frictionless, unified end-to-end MLOps suite, it brings the CI/CD automation approach into ML development & production allowing customers to focus on developing their ML code and pipelines, while also ensuring their work is automated, reproducible, and scalable. With ClearML for Enterprise, customers significantly shorten their time-to-value and time-to-revenue, ensuring operationalizing ML at scale is executed successfully and make it to production efficiently. In a category dominated by fragmented point solutions and walled garden closed semi-platforms, ClearML delivers an open-sourced, comprehensive offering that enables companies to scale their MLOps while successfully bridging the innovation and revenue gaps with the company's unified end-to-end platform. Once a model is deployed into production by ClearML, Aporia's customizable ML observability solution seamlessly empowers data science and ML teams to trust their AI, enabling them to monitor, explain, investigate and solve issues like data & concept drift, performance degradation and model decay. Aporia does this with customizable model monitoring to trigger live alerts when a model is spiraling, a dashboard that provides visibility of all models under a single pane of glass, and an 'Investigate and Explain' capability that gets to the root cause of any issue delivering explainable AI that gives human-readablemeaning to model predictions for business stakeholders. "As an MLOps leader, ensuring data science and ML teams can trust their ML model predictions, we see immense value for our customers in integrating with ClearML's open source MLOps platform to provide a true end-to-end solution from training to production and beyond," said Liran Hason, CEO and Co-Founder of Aporia. "There are so many different tools and moving parts to pull from when setting off on this hero's path to build, train, serve, monitor, and explain machine learning models. We're excited to team up with ClearML and provide a one-stop-shop MLOps platform to scale ML with confidence." About ClearML Trusted by forward-thinking Data Scientists, ML Engineers, DevOps, and decision-makers at leading Fortune 1000, enterprises, and innovative start-ups worldwide, ClearML is an open source, MLOps platform that helps data science, MLOps, and DevOps teams easily develop, orchestrate, and automate ML workflows at scale. It is designed as a frictionless, unified, end-to-end MLOps suite allowing users and customers to focus on developing their ML code and automation, ensuring their work is reproducible and scalable. To learn more, contact us at About Aporia Aporia is a self-serve customizable monitoring platform for machine learning, used by Fortune 500 companies and data science teams around the world to monitor billions of daily predictions and maintain AI responsibility and fairness. Founded in 2019, Aporia is backed by TLV Partners Samsung Next, Tiger Global and Vertex Ventures.

Read More


Makersite Announces Sustainability Analytics Partnership With Autodesk

Makersite | September 28, 2022

Makersite, a world leader in bringing sustainability and cost insights into the early stage design process for the world’s leading brands, today announced partnering with Autodesk, the leader in product design software. The new partnership combines Makersite’s environmental impact and cost data with Autodesk Fusion 360’s product design data. Sustainability begins at the heart of the product: its design phase. Still, less than 1% of products have sustainability as a design parameter. Even though the general public’s wish for sustainable products grows and emission regulations worldwide are becoming more and more, incorporating sustainability at the design level has been a challenge for most product designers in the past. Makersite’s partnership with Autodesk is changing this. The new Fusion 360 plug-in features: Allows designers to have Makersite instantly calculate the environmental and cost impacts of their design at the push of a button Gives Fusion 360 users access to over 300 materials, cost, and sustainability insights based on the used structure, materials, and weight Provides enhanced data sets on over 50 decision criteria such as compliance, risk, health, and safety in real-time With this ground-breaking approach, product designers will no longer depend on experts or consultancies to design sustainable products. Instead, enterprise manufacturers will be able to use their own material masters and procurement data to enable teams to work toward sustainability goals led by design. This integration will enable more sustainable and successful designs, eliminate duplicative efforts and decrease time to market. “The stats tell us that 80% of the ecological impacts of a product are locked down in the design phase. Therefore, the design phase of a product is the first and most necessary stage to get more sustainable goods into the world successfully,” shares Neil D’Souza, founder of Makersite. “However, eco-design is only feasible when designers have data about the sustainability of their product and its compliance, costing, environmental, health, and safety criteria. By integrating our data, AI, and calculation engines into Fusion, product designers are provided with clear and actionable insights so they can decide how to make their designs more sustainable,” D’Souza concludes. “It’s Autodesk’s intent to make designing for sustainability easily accessible, and ultimately intuitive, to product designers,” said Zoé Bezpalko, Autodesk Senior Design and Manufacturing Sustainability Manager. “By partnering with Makersite, we’ve created a holistic workflow within Fusion that provides insights into sustainable design directly within the design environment. Data-driven analysis from Makersite will enable manufacturers to make better decisions about creating safer, more sustainable products,” she said. “Companies are setting ambitious sustainability goals at high levels, sometimes as required by policy, but increasingly due to customer demand and as a source of competitive differentiation. The data that drives achieving those goals are often in disparate systems throughout the organization,” said Stephen Hooper, Autodesk Vice President & General Manager, Fusion 360. “We’re connecting relevant LCA data to the Fusion design workspace to help manufacturers meet their important sustainability goals,” said Hooper. Autodesk will hold its premier annual conference for product designers and manufacturers, Autodesk University, in New Orleans September 27-29, 2022. Makersite will take the stage with Zoé Bezpalko to present the plug-in to attendees during the conference. About Makersite Makersite's SaaS platform delivers enterprise digital twins to enable change in complex business environments. By intelligently mapping customers' product data via AI with live data from 140+ supply chain databases, Makersite instantly delivers deep-tier supply chain twins with 90%+ accuracy. Customers can assess the digital product twins across 30+ business criteria such as risk, sustainability, compliance, and cost. The platform has many applications, helping global enterprises build resilient supply chains, accelerate product innovation, and achieve NetZero.

Read More


IBM Launches New Software to Break Down Data Silos and Streamline Planning and Analytics

IBM | November 04, 2022

IBM has announced new software designed to help enterprises break down data and analytics silos so they can make data-driven decisions quickly and navigate unpredictable disruptions. IBM Business Analytics Enterprise is a suite of business intelligence planning, budgeting, reporting, forecasting, and dashboard capabilities that provides users with a robust view of data sources across their entire business. Along with IBM Planning Analytics with Watson and IBM Cognos Analytics with Watson, this suite also includes a new IBM Analytics Content Hub that helps streamline how users discover and access analytics and planning tools from multiple vendors in a single, personalized dashboard view. According to an August 2022 Forrester report, advanced insights-driven organizations are 1.6x more likely to report using data, analytics, and insights to create experiences, products, and services that differentiate them within the market when compared to beginners1. However, companies are currently facing a highly dynamic operating environment where they must navigate unpredictable events such as supply chain disruptions, labor and skills shortages, evolving regulations, and more. The complexity of storing data across disparate silos can make this more challenging as teams collaborate across different analytics and business intelligence tools. To become data-driven, businesses can differentiate themselves by creating an enterprise-wide strategy that enables them to bring together their tools and put insights into the hands of decision makers. Building on IBM's existing portfolio of business intelligence solutions, IBM Business Analytics Enterprise includes a new IBM Analytics Content Hub. It is designed to allow users to view planning and analytics dashboards from multiple vendors, including tools like IBM Cognos Analytics with Watson, IBM Planning Analytics with Watson, and other common business intelligence tools into a single view that combines elements from each in a dashboard tailored to their unique needs. Additionally, it features algorithms that can recommend role-based content to help users surface new stories, reports, and dashboards from across the organization to aid in decision-making. As more users click through materials within the IBM Analytics Content Hub, the solution analyzes usage patterns to recommend content that aligns with their specific interests. New Capabilities for IBM Cognos Analytics with Watson; IBM Planning Analytics with Watson expected to be available on AWS With today's news, IBM Cognos Analytics with Watson, an AI-powered business intelligence solution, now also includes new integration capabilities and enhanced forecasting that allows users to consider multiple factors and seasons in their trend predictions. Additionally, IBM Planning Analytics with Watson, an AI-powered solution that helps streamline financial and operational planning, is expected to be available as-a-Service on AWS later this year. IBM Business Analytics Enterprise is designed to help break down silos so that the right teams can get the right data at the right time. For instance, an organization's sales, HR, and operations teams each require access to data and insights from different business intelligence and planning tools for their specific needs, such as optimizing sales goals, building workforce forecasts, or predicting operational capacity. But when it's necessary to share data and reporting across departments, complexities can arise because those teams are using multiple solutions. This can result in duplicate content across applications, which can threaten data consistency and quality. IBM Business Analytics Enterprise helps enterprise data be more easily shared, while remaining protected and avoiding data duplication by giving users across departments a single point of entry to view the data they need. "Businesses today are trying to become more data-driven than ever as they navigate the unexpected in the face of supply chain disruptions, labor and skills shortages and regulatory changes. "But to truly be data-driven, organizations need to be able to provide their different teams with more comprehensive access to analytics tools and a more complete picture of their business data, without jeopardizing their compliance, security or privacy programs. IBM Business Analytics Enterprise offers a way to bring together analytics tools in a single view, regardless of which vendor it comes from or where the data resides." Dinesh Nirmal, General Manager of Data, AI and Automation, IBM ALH Gruppe is a leading finance and insurance company in Germany, and with thousands of employees who need access to data insights, the majority of whom are not data scientists or highly technical users, they sought a solution to help streamline their data infrastructure even more. "We've been using IBM Cognos Analytics with Watson for well over a decade now to support decision-making of all kinds across our business. We frequently use it in conjunction with other business intelligence tools, and one challenge was that those tools were always standing side-by-side with no connection between them and the data was separated," said Bernd Oerthle, Head of Analytics Reporting and Infrastructure, ALH Gruppe. "With the new IBM Analytics Content Hub, we plan to connect internal stakeholders to multiple different BI solutions for easy access to self-service data, enabling better support for our end customers." The launch of Business Analytics Enterprise further builds on IBM's strategy to provide businesses with tools to support data-driven decision-making. IBM Cloud Pak for Data and IBM's business intelligence solutions work in tandem to help clients create a data fabric architecture that simplifies data integration, allowing them to run their analytics anywhere and take advantage of data across different environments. 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.

Read More