BIG DATA MANAGEMENT, PERFORMANCE MANAGEMENT, BUSINESS STRATEGY
Privacera | January 05, 2023
On January 4, 2023, Privacera, a leader in data security governance based on open standards and started by the people who made Apache RangerTM, announced that it had achieved Data and Analytics Competency status in the Data Governance and Security category from Amazon Web Services (AWS). This designation shows that Privacera has proven expertise or technology that helps customers reach their cloud data and analytics goals.
Gaining the AWS Data and Analytics Competency sets Privacera apart as an AWS Partner Network (APN) member that offers specialized software or consulting services to assist enterprises in developing, adopting, and deploying complex projects on AWS. To achieve the designation, AWS Partners must have a deep understanding of AWS and be able to deliver solutions that work well on AWS.
Enterprise data teams are increasingly using AWS to create heterogeneous data meshes and lakes. The Unified Platform for Data Security and Governance from Privacera helps these teams protect sensitive data and ensure privacy while automating manual governance processes to speed up the time to insights.
At the same time, organizations will be able to speed up their cloud migration by using Privacera to securely manage data access policies across various on-premises and cloud data sources from a single governance platform. This will make data migration to AWS easier by increasing automation, making policy management more consistent, and ensuring compliance through an open, consistent, and proven standard.
About Privacera
Privacera, founded by the creators of Apache RangerTM in 2016, is a SaaS-based data security and access governance platform provider. The company allows data and security teams to simplify data access, privacy, and security for data applications and analytical workloads. The Privacera platform supports compliance with various regulations such as LGPD, GDPR, HIPAA, and CCPA. Privacera offers a single view and set of controls for protecting sensitive data across multiple cloud services, such as Databricks, Snowflake, Starburst, Dremio, and others. The Privacera platform is used by Fortune 500 customers in the life sciences, finance, insurance, media, retail, and consumer industries, as well as by governmental bodies, to manage high-fidelity policies, mask sensitive data, and automate sensitive data discovery at petabyte scale on-premises and in the cloud.
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BIG DATA MANAGEMENT, DATA ARCHITECTURE, DATA SCIENCE
TIBCO | March 15, 2023
On March 14, 2023, TIBCO, a leading data connectivity, management, and analytics solutions provider helping businesses solve complex data challenges, announced a set of updates to its analytics suite. These updates aim to provide customers with immersive, real-time analytics that empower them to make better business decisions with confidence and impact benefiting from smarter and faster insights. The enhancements to TIBCO's analytics solutions, including TIBCO Spotfire, narrows the gap between action and insight, building on data science capabilities to accelerate time-to-decision and reduce operational costs.
The TIBCO Data Management and Analytics portfolios provide a streamlined user experience by combining data management, visual analytics, streaming, and data science capabilities to improve business outcomes.
TIBCO's analytics solutions have been enhanced to further support clients on their digital journeys, including upgrades to the following offerings:
TIBCO Spotfire 12.2- offers a scalable, self-service analytics platform with built-in governance that enables human and automated decisions. TIBCO Spotfire Cloud Actions allows users to trigger actions and transactional workflows within the platform, bridging the gap between insight and decision. The application's new native TIBCO ModelOps capabilities deliver AI model management for real-time data science predictions. Additionally, Spotfire deployments are now managed natively in the cloud, reducing the cost of ownership and improving the user experience of IT and systems staff.
TIBCO Streaming- now includes dynamic learning, which automates data analytics calculations and management on real-time events, expanding business intelligence into low-latency operational use cases such as IoT and edge sensors. In addition, Spotfire serves as a decision and control hub, making both human-in-the-loop monitoring and consistent automated decisions more efficient.
TIBCO Data Science- Team Studio bolsters TIBCO's mission to democratize data science at scale, offering end-to-end lifecycle support for data access, preparation, feature engineering, management, model training, inference, and operations deployment. Updates consist of a new Apache Spark 3 workflow engine, TIBCO Data Virtualization for data management, and a new operator framework that enables workflows to execute as a single Spark application, thereby improving performance. The updates also provide greater interoperability with TIBCO Spotfire and TIBCO Data Virtualization, thus allowing users to control data preparation, feature engineering, training, and inference at scale within the Spotfire user interface. In the context of the business challenge at hand, end-user apps can train models, make predictions, summarize the data, and use data science approaches.
About TIBCO
TIBCO is a global leader in data connectivity, management, and analytics, providing innovative solutions that empower enterprises to solve complex data challenges and make critical business decisions with greater confidence and impact. Focusing on delivering seamless user experiences, its Data Management and Analytics portfolios combine visual analytics, data management, streaming, and data science capabilities to drive better business outcomes. With a focus on delivering immersive, intelligent, and real-time analytics, TIBCO is at the forefront of the data management and analytics industry, providing cutting-edge solutions to customers worldwide.
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BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT, BUSINESS STRATEGY
PossibleNOW | December 29, 2022
PossibleNOWTM, the industry's preeminent provider of enterprise consent and preference management solutions, recently announced the unveiling of MyPreferences 3.0, an enhanced zero-party data platform, to provide businesses with a rethought customer experience (CX) engine.
"According to the Salesforce 2022 State of Marketing Report, 51% of marketers are still searching for new customer data platforms to improve customer data profiles without using third-party cookies."
MyPreferences 3.0 enables businesses to build trust and long-term connections with their customers. It also contains a full customer service portal, which provides call-center personnel and service representatives with a full-featured agent interface built from the ground up for handling zero-party data on behalf of consumers.
The most recent update offers complete control with comprehensive configuration management across profiles, consents, customer preferences, and feedback. Included among the new features are the following:
RESTful API library for driving consent management, customer experiences, profile enrichment, and seamless connections
Global consent repository for storing and managing consents across any data category, with comprehensive historical access
Enhanced, re-usable data segments to enable real-time targeting and a unified portrayal of the zero-party data of customers across all touchpoints
Furthermore, a built-in no-code workflow designer tool helps in the creation of bespoke first-party and zero-party data collection experiences without the assistance of IT. A completely revamped data segmentation engine will also enable marketers to automate integrations and simplify access to zero-party data throughout their technology ecosystem.
About PossibleNOW
PossibleNOW is a Georgia, U.S.-based provider of enterprise preference & consent management solutions that aid marketers in personalizing multi-channel communications with consumers. The company assists businesses gain customer insights through its Voice-of-Customer research to understand the emotions and expectations influencing customer behavior.
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