Big Data Management
Syntasa | October 09, 2023
Syntasa, a leading provider of composable martech solutions, has unveiled a new feature designed to empower companies interested in Customer Data Platforms (CDPs). This new capability allows companies to leverage the 'Data Ready for CDPs' solution within a private cloud environment, allowing organizations to effortlessly import relevant customer data for utilization within their chosen CDP.
As businesses expand their horizons towards gaining a comprehensive understanding of customer journeys and experiences across various channels, the adoption of CDPs has surged to enhance marketing and customer engagement endeavors. With privacy regulations becoming increasingly stringent, companies are turning to zero and first-party data to fuel their CDP program. However, the process of collecting, cleaning, and transforming this zero and first-party data from internal systems to effectively power CDPs has proven to be a formidable challenge for marketing teams.
On the journey to implementing CDPs, marketing teams have encountered a significant obstacle in the form of extended deployment timelines. Conventional CDP programs often demand 6-12 months merely to launch the Minimum Viable Product (MVP). This protracted timeline poses a substantial hurdle for businesses eager to reap the benefits of a CDP swiftly. Furthermore, manual data preparation for CDPs persists as a labor-intensive and error-prone procedure, resulting in increased time and costs for integrating each new data point with a CDP. Compounding the issue, customer data is typically fragmented across diverse systems, often lacking cleanliness and necessitating robust collaboration among various teams to render it actionable. This complexity makes integrating data from disparate sources into a CDP a daunting task.
Syntasa's core platform operates within the customer's own Virtual Private Cloud (VPC), affording them direct access to raw data for cleansing and transformation, facilitated by a spectrum of low-code to full-code transformations. Ultimately, the marketing team gains the autonomy to select data through a user-friendly interface and connect it to the CDP of their choice, all without necessitating technical team support.
In addition to fostering a collaborative environment where data and marketing teams work synergistically, the solution incorporates data observability components that monitor every data field transmitted to the CDP. This feature enables prompt identification of data issues, preventing them from impacting business Key Performance Indicators weeks later.
About Syntasa for Marketing
Syntasa for Marketing offers composable martech solutions featuring a range of application options from no-code to low-code and pro-code. These solutions orchestrate cloud-native services and harness the latest advancements in AI and machine learning to derive insights from digital behavior and autonomously activate these insights. The company's solutions simplify the cleansing and transforming process of onsite and offsite customer data to deliver meaningful hyper-personalization solutions fueled directly by first-party data. Additionally, the platform provides martech solutions for constructing and deploying AI/ML data science models for audience building and analysis, as well as orchestrating audience-centric omnichannel marketing campaigns across paid media, CRM, onsite personalization, and martech tools.
Alation | October 12, 2023
Alation, Inc., a prominent data intelligence company, has unveiled its latest offering, Alation Analytics Cloud1. This unified reporting platform empowers organizations to gain insights into their data usage and, in doing so, assess the effectiveness of their data initiatives and the overall maturity of their data culture.
The stakes are high in today's data-driven landscape, given the vast opportunities associated with data, analytics, and AI, and organizations can no longer afford to operate with disjointed data efforts that lack a clear connection to value. Alarmingly, a vast majority of Chief Data Officers (CDOs) fail to accurately assess and price the business outcomes generated by their data and analytics efforts, as revealed by Harvard Business Review. Consequently, there is a pressing need for a framework that enables organizations to benchmark and enhance their data management capabilities as they become critical strategic endeavors. However, this void has persisted because organizations have lacked the tools required to quantify the value and impact of their data initiatives on their business operations. Moreover, disparate teams within organizations often employ distinct data analysis methods, emphasizing the necessity for a solution that facilitates the consistent assessment of critical usage statistics, thereby fostering the growth of a robust data culture.
The Alation Analytics Cloud offers a framework to articulate the business value of data initiatives. Leveraging Alation's innovative Query Log Ingestion technology, leaders can gain insights into which data sources are most frequently accessed and which teams are executing specific queries. This knowledge enables data leaders to comprehensively map data consumption across the entire organization. These insights serve a dual purpose, facilitating the measurement of the effectiveness of diverse data programs and, subsequently, enabling an assessment of the maturity level of an organization's data culture. These insights can also be harnessed to optimize queries and rationalize data sources, for example, by expediting the migration of frequently used datasets or the retirement of data sources that are no longer in active use, thereby reducing costs.
Key benefits of the Alation Analytics Cloud include the ability to:
Measure Data Culture Maturity: Organizations can now measure their data culture maturity by examining four vital components: data leadership, data search and discovery, data literacy, and data governance.
Score Data Programs: Data leaders are empowered to gauge the progress of their data initiatives using a variety of metrics, such as total assets curated, the number of active users, and many other relevant indicators.
Map Data Consumption: Business and data leaders can gain visibility into the efficacy of individual data products by closely tracking actual usage. Reports provide valuable insights into which queries are being executed by specific users on various data stores, including details about the total execution time of database queries, thus pinpointing areas that can be optimized.
Alation is a leading enterprise data intelligence solutions provider, offering capabilities that empower self-service analytics, drive cloud transformation, and enhance data governance. Over 500 leading enterprises, including prominent names like Cisco, Nasdaq, Pfizer, Salesforce, and Virgin Australia, rely on Alation to cultivate a data culture and bolster data-driven decision-making. The company's commitment to excellence is evidenced by its recognition on Inc. Magazine's Best Workplaces list four times, its status as a UK's Best Workplaces in tech and Best Workplaces for Women in 2022, and its continued accolades as a UK's Best Workplaces in 2022 and 2023.
Big Data Management
PR Newswire | September 27, 2023
Congruity360, a leading unstructured data management and risk mitigation provider, announces the addition of data mobility in Enterprise Insights.
As unstructured data grows at the annual rate of 55% to 65% and accounts for more than 80% of all enterprise data, businesses must find a way to identify, classify and move data intelligently and automatically during its lifecycle. As enterprises grow, their valuable data must mature with their business. This may require a journey to the cloud, SLA changes which optimize storage costs, classification to mitigate risk, and moving the right data to additional key AI platform initiatives.
A simple, scalable, high-performance data classification engine, Enterprise Insights delivers next-generation data lifecycle management for storage optimization, security and risk optimization, and IT business optimization.
Enterprise Insights Approach to Successful Data Optimization:
Identify – Securely analyze PBs of unstructured data across on premises (NAS & object) and cloud (files/objects & SaaS) sources by harnessing the power of the platform's rapid insights and auto-discover technologies, which can reduce data identification times by 1,000%.
Classify – Quickly identify key client data attributes for cost savings, risk mitigation, and business impact with simple to consume dashboards and drill down capabilities.
Review – Confidently create and take actions by leveraging the comprehensive search engine to quickly find and preview data for movement without ever leaving the platform.
Remediate – Seamlessly take action (migrate and tier) on classified data to ensure it's properly protected, optimally stored, and most effectively serving the business.
Enterprise Insights offers three use case-driven insight analysis modules:
Storage and Migration Optimization – Insights into over 35 file data attributes including systems' aged, stale, obsolete, redundant, trivial, and types of systems files.
Business Optimization – Insight into and classification by business units' or cost centers' aged, stale, obsolete, redundant, trivial, and types of files.
Data Security and Risk Optimization – Insights into files containing PII and SPII, financial, legal, security, and risk data, as well as open shares and other network & storage security vulnerabilities.
By leveraging Enterprise Insights, clients can classify data for simple and secure migration both on premise and in the cloud. Equally important is Insights data tiering capabilities, enabling users to match data storage costs to data usage.
Powered by the Classify360 Platform, Enterprise Insights' secure hybrid approach to data analysis scales capabilities to exabyte levels at unmatched speed. Enterprise Insights is the industry's most powerful weapon to tackle the costs, time, and complexity of cloud migration projects, backup modernization, storage tiering, hardware refresh, and security posture management. By providing users with dashboards highlighting their existing storage costs and risks, Enterprise Insights frees clients from hidden, legacy, CapEx and OpEx expenditures, performance, and scalability bottlenecks while discovering and acting on sensitive and risk data.
Unstructured data insanity is treating all data equally with zero insights into its business impact, said Brian Davidson, Chief Executive Officer and Managing Partner of Congruity360. Enterprise Insights is the first step in implementing optimized data lifecycle management. With historically high data growth and new business uses for unstructured data, it is essential to attack the costs and risks inherent in unmanaged data. Our customers have realized 7-10x returns on their data lifecycle management implementations while reducing risk in an auditable compliance framework. As AI continues to gain steam, don't overpay by moving useless data to your expensive AI platforms.
The Classify360 Platform is comprehensive, simple to implement, scale, and operate. Businesses leverage the Classify360 Platform for unstructured data discovery, classification, business workflows, remediation actions, and insightful reporting. Congruity360 continues to tackle additional data governance challenges through innovations to the Classify360 Platform to continue delivering revolutionary data governance and classification, at scale, to the enterprise world.
Congruity360 delivers the only data life cycle management solution built on a foundation of classification, by expert data storage engineers alongside expert data privacy consultants. The Classify360 Platform is easy to implement, requires no outside consultants, and quickly analyzes your data at the petabyte scale in days, not weeks or months.
Airbyte | September 11, 2023
Airbyte, the leading open-source data movement platform, has announced a strategic integration with Datadog, Inc., a prominent cloud application monitoring and security platform. This integration offers customers a comprehensive solution to monitor and analyze data pipelines with access to nearly 50 metrics, all at no additional cost.
The integration between Airbyte Self-Managed and Datadog's data observability and security monitoring capabilities allows organizations to maintain a close watch on the health of their critical data pipelines. Key features of this integration include:
A centralized overview of Airbyte data pipeline performance
Real-time detection and immediate alerts for failing syncs or connections
Notifications regarding long-running jobs, which could indicate potential latency issues
Michel Tricot, CEO of Airbyte, emphasized the significance of this integration, stating,
The new Datadog integration provides transparency and actionable insights, empowering users to optimize performance and ensure reliable data pipelines by proactively addressing potential data issues.
[Source: Business Wire]
Yrieix Garnier, Vice President of Product at Datadog, further elaborated on the benefits, explaining,
Airbyte's data extraction and loading process involves numerous complex components. The integration with Datadog offers users peace of mind, enabling them to monitor data pipelines across their organization and troubleshoot any potential data integration workflow issues, ultimately ensuring data quality.
[Source: Business Wire]
This integration will be immediately available to users. Existing Datadog customers can configure their Airbyte deployments to send metrics to Datadog. For those not already using Datadog, a free trial is available. Similarly, users new to Airbyte can sign up for free.
Airbyte continues its commitment to delivering robust data integration and analysis solutions to organizations. The Datadog integration represents a significant milestone in Airbyte's mission to empower businesses with efficient data integration capabilities.
Airbyte simplifies data movement across various sources and destinations, making it accessible and cost-effective for enterprises. With the largest data engineering contributor community, boasting over 800 contributors as well as top-tier tools for connector development and maintenance, Airbyte remains at the forefront of the data integration landscape.
Founded in 2020, Airbyte is an open-source platform for EL (T) that enables data teams to replicate data from various sources to different destinations. The company, which has raised $181 million in funding, believes in the power of open source to address data integration challenges and offers over 200 connectors for data syncing. Currently, it serves over 25,000 companies.