We are happy to announce Talend is a Leader in The Forrester Wave™: Enterprise Data Fabric, Q2 2020. Talend’s unified approach to data management – combining data integration, integrity, and governance in a single platform – is the best way to gain clarity and confidence in your data. Since we launched Talend Data Fabric in 2015, we’ve been strong believers that data integration and management could not be solved with a static, siloed enterprise software solution. Companies and data users need a solution that is flexible, can grow with their needs, and is unified enough that the entire organization can use and benefit from it. But that is a lot, so I want to unpack all this a bit for you today.
Let’s start out with a deeper dive into what challenges an Enterprise Data Fabric can solve. According to Forrester, traditional approaches to data integration cannot address “new business requirements that demand a combination of real-time connected data, self-service, and a high degree of automation, speed, and intelligence. While collecting data from various sources is often straightforward, enterprises often struggle to integrate, process, curate, and transform data with other sources to deliver a comprehensive view of the customer, partner, product, and employee.”
We could not agree more. If you are building a customer 360 solution or an end-to-end marketing campaign solution, you will not be able to do this effectively with a bunch of siloed tools and stand-alone applications. You need a full Enterprise Data Fabric not only to manage the data, but also to govern the full platform, including the metadata and processes. We have seen many customers embrace this approach, including AstraZeneca. In a heavily regulated environment, AstraZeneca devised a strategic initiative of returning to growth galvanized around data consolidation and transformation. Using Talend Data Fabric, they were able to facilitate point-to-point connections with APIs, harness their metadata with a Data Catalog, trust their data with Data Quality, and automate their data pipelines – hence dramatically lowering costs and risk.
We believe Talend has been able to sustain its place as a market leader by focusing on where data integration and data management is headed rather than where it’s been. We are creating an easy system for everyone to verify that the data they are betting their business on is data that they can trust. We are creating a connection between the analytics running the business and the systems, checks, and balances ensuring the quality and compliance of the data powering them. Our Data Trust Score delivers an instant assessment of your data health and accuracy, based on data quality, data popularity, and user-defined ratings. It allows you to assess the relevance and trustworthiness of your data at first sight. And a laser focus on cloud – deployment of Talend in the cloud, as well as support for hybrid and multi-cloud environments – has been another key area of emphasis for Talend for the last several years. That’s why we have continued to build Talend Data Fabric – our unified platform for data integration, governance, and sharing – on-premises and in the cloud. And, we have progressively added more and more machine learning-based capabilities to automate data quality tasks, make data pipelines more intelligent, and enable more non-technology users to gain self-service access to data.
It is this focus on continuous improvement and a willingness to change – and change quickly – that has, in our opinion, helped Talend become a firmly established Enterprise Data Fabric leader in a short period of time. Talend received the highest score of any vendor in the report in the Current Offering category, and earned the highest possible scores in criteria like data quality, data lineage, and data catalog, as well as for our roadmap. We believe these high scores continue to validate that Talend’s vision and mission are what you as an enterprise need to be successful in your pursuit of an Enterprise Data Fabric. You can read the full Forrester report here.