Tag Archives: Machine Learning

CDP Industry Update July 2019: Fifteen of the nineteen new CDP vendors are from outside the U.S.

SWARTHMORE, PA, U.S.A., 8-Aug-2019 — /EuropaWire/ — The Customer Data Platform Industry continued its rapid growth in the first half of 2019, according to the CDP Institute’s semi-annual Industry Update. The industry added nineteen vendors and raised $317 million in new capital during the period while employment was up 71% over the previous year.

Major shifts in the market included expansion in Europe, EMEA, and APAC. Fifteen of the nineteen new CDP vendors are from outside the U.S. The Institute also confirmed its projection for the CDP industry to reach the $1 billion revenue in 2019.

Other milestones the report were:

  • More Funding. Cumulative funding for the industry grew by $680 million, reflecting funding during the period plus previous funding for vendors just entering the industry.
  • Strategic acquisitions. The period saw two CDP acquisitions: data integration specialist Allsight by Informatica and B2B CDP Lattice Engines by Dun & Bradstreet. Neither buyer is primarily a marketing system vendor, illustrating the value that companies in related sectors now see in CDP functions.
  • Operational CDPs. The period also saw addition of three vendors with a primarily operational focus: two customer success systems (Gainsight and Totango) and one in healthcare (Healthgrades). These firms represent the leading edge of a new class of CDP vendors that is expected to grow rapidly.
  • Marketing Cloud entrants. Salesforce, Adobe, and Oracle all announced future CDP products that are expected to be available before the end of 2019. These attracted new attention and are expected to substantially expand CDP awareness and adoption.

Vendor Categories

The CDP Institute report groups CDP vendors into three categories based on the functions provided by their systems. Categories are:

  • Access. These systems gather customer data from source systems, link data to customer identities, and store the results in a persistent database available to external systems. This is the minimum set of functions required to meet the definition of a CDP.
  • Analytics. These systems provide data assembly plus analytical applications. The applications always include customer segmentation and sometimes extend to machine learning, predictive modeling, revenue attribution, and journey mapping. These systems often automate the distribution of segment lists to marketing automation or advanced analytics products.
  • Campaigns. These systems provide data assembly, analytics, and customer treatments. These treatments may be personalized messages, real time interactions, product or content recommendations, outbound marketing campaigns, customer journey orchestration, or other contacts. What distinguishes them from segmentation is they also specify the message to be delivered.

SOURCE: EuropaWire

PG Services will be demonstrating DB CyberTech’s GDPR solution during Elastic{ON} Frankfurt on October 30, 2018

SAN DIEGO, CA, USA, 29-Oct-2018 — /EPR INTERNET NEWS/ — DB CyberTech, a pioneer in machine learning based predictive data loss prevention, today announced that it is launching into the European market through a partnership with PG Services of Luxembourg. PG Services joins DB CyberTech’s growing partner ecosystem focused on bringing the next generation of truly intelligent cybersecurity solutions to market. DB CyberTech’s European operations will be headquartered in London.

“We’re excited to begin our new partnership with DB CyberTech. PG Services is known for selecting best in class solutions and integrating them into the Elastic SIEM for our global clients,” said Ali Alaie, Managing Director of PG Services. “After careful review and engineering investment in Europe, we selected DB CyberTech’s patented and award winning compliance and security platform to build a modernized connector that now presents critical GDPR discovery and classification data through the Elastic interface. We’re making DB CyberTech’s innovative platform for compliance and security available to all of our global Elastic clients. I’m pleased to showcase the integrated solution at this weeks Elastic{ON} conference in Frankfurt.”

DB CyberTech solutions enable customers with real-time visibility into their structured data for data security and GDPR compliance. The GDPR compliance solution is based on natural language processing to enable automated and continuous identification of high-value and sensitive personal data.

“We’re truly impressed with PG Services extensive experience with Data Analytics and Elastic value-added integrated solutions,” said Ali Hedayati, COO and President of DB CyberTech. “Our solution integration with PG Services Elastic-centric technology enables visualization, analysis, and searching of host intrusion detection alerts. The integration provides customers with comprehensive visibility, intelligent data classification, and automated machine learning for detection of suspicious activity in the data tier for security and GDPR compliancy.”

PG Services will be demonstrating DB CyberTech’s GDPR solution during Elastic{ON} Frankfurt on October 30, 2018.

SOURCE: EuropaWire

Advanced Data Classification now available for DB CyberTech’s #Predictive Data Loss Prevention and #GDPR solutions

SAN DIEGO, CA, United States, 27-Aug-2018 — /EPR INTERNET NEWS/ — DB CyberTech, a pioneer in machine learning based predictive data loss prevention, today announced advanced data classification for structured data as a new capability of their security and privacy platform. This new capability supports compliance with EU’s General Data Protection Regulation (GDPR).

DB CyberTech’s advanced data classification utilizes natural language processing to continuously and accurately identify high value sensitive data such as personal data, intellectual property, and financial information. With this capability, privacy professionals and Data Protection Officers are now able to focus more of their attention on a set of databases that store sensitive data and therefore pose the greatest risk to the organization.

Advanced Data Classification is available now for DB CyberTech’s Predictive Data Loss Prevention and GDPR solutions. Data classification operates completely non-intrusively by analyzing database conversations. No database login credentials are necessary and there’s no impact on database performance.

“To defend against today’s security threats to structured data, DB CyberTech offers database asset discovery, automatic data classification, and continuous monitoring to identify where sensitive data is stored along with which clients and applications process sensitive information,” said Brett Helm, CEO of DB CyberTech. “We then apply machine learning and behavioral analytics to pinpoint rogue activities including insider threats.”

SOURCE: EuropaWire