In early February this year, modern data technology stack unicorn DBT announced the completion of the acquisition of Transform. In the modern data stack system, both DBT and Transform play important roles. DBT focuses on data conversion processing on the entire analysis link, while Transform focuses on building business analysis applications centered on indicators.
The respective positions of DBT and Transform in the data analysis link
(From A16Z's unified data architecture diagram in Emerging Architectures for Modern Data Infrastructure)
DBT's official blog emphasizes the value of this acquisition: Transform's core indicator engine is industry-leading, and it is also an integral part of the Semantic Layer that DBT values. DBT Semantic Layer has also entered the product preview stage after integrating the indicator features of Transform, and more and more functions related to indicator definition and management appear on the DBT roadmap.
1. From data-driven to indicator-driven
With the acquisition of Transform, DBT added a key piece of the puzzle: a semantic layer and the ability to build data analysis applications centered around metrics . From the perspective of the core capabilities of external services, this also reflects the transformation from data-driven to indicator-driven: define and manage indicators in a concise and unified centralized way, and switch from table-based to service and empowerment through indicators. class data analysis applications .
The semantic layer is the carrier implemented here. The semantic layer usually refers to the business abstraction above the technology implementation layer, which is used to maintain business logic, so that business personnel can easily perform data analysis without caring about the underlying technology. Among them, the unified maintenance of key business logic is presented with indicators or indicator systems that are closer to the business language , which is a typical indicator-driven.
Salesforce also mentioned in the predictions of disruptive technologies in "Global Technology Important Trends and Predictions in 2023" that data will become easier to understand and use, and data literacy includes critical skills in using, interpreting, and making decisions based on data. thinking skills, and then communicate their importance and value to others. In the process of value delivery, indicators are an efficient form of connection, which can support business decisions in a more agile and fast-paced manner.
2. Kyligence, a leading indicator platform provider from China
Founded in 2016 by the founding team of Apache Kylin, Kyligence is a leading provider of big data analysis and indicator platforms, providing enterprise-level OLAP (multidimensional analysis) platform products Kyligence Enterprise and one-stop indicator platform Kyligence Zen, for Users provide enterprise-level business analysis capabilities, decision support systems and various data-driven industry solutions.
In the past few years, Kyligence has helped a number of financial, retail, and manufacturing enterprise customers build enterprise-level indicator platforms:
A large state-owned bank uses the index platform based on Kyligence products to empower the operation room and digital management of the whole bank, and provides a complete solution for the whole bank that integrates unified theme configuration, index management, index processing, and data services: not only unified The business caliber and calculation caliber of key indicators have been established to realize a top-down business-driven index system and accelerate the digital construction and operation capabilities of the whole bank; it also supports business departments to conduct independent data analysis and exploration at any time, reducing IT development workload by 30% % or more, the overall work efficiency is improved.
Another leading property and casualty insurance company chose to cooperate with Kyligence to build an indicator platform in the process of building a business analysis system with indicators as the core, and use indicators to assist business decision-making based on business and financial scenarios, improve digital management and drive business growth: The whole set of indicator platform solution has realized the reuse and standardization of indicators for the property insurance company. At present, hundreds of industry and financial indicators have been launched, and it has become the hub between development and business, reducing the investment of developers and further improving human efficiency; With the help of the index platform, the property insurance company has not only revitalized data assets, gradually established a data application ecosystem, but also stimulated the willingness of analysts and decision-makers to use data by themselves by greatly reducing the threshold for use.
3. Kyligence Zen one-stop indicator platform
It is not difficult to find that indicators can play a key role in effectively empowering business decisions, and a complete Metrics Platform is particularly important here: not only an indicator layer that can be self-managed, but also a further It can automatically complete data modeling and conversion, complete end-to-end data analysis and output business decision basis.
Kyligence Zen is a one-stop indicator platform based on Kyligence's core OLAP capabilities. With a solution that integrates business models, indicator management, indicator processing, and data services, and based on rich indicator platform construction practices, Kyligence Zen hopes to solve the indicator management, analysis, and application pain points faced by enterprises through portable and easy-to-use products , to help enterprises build a digital management system and realize index-driven management and decision-making.
Kyligence Zen one-stop indicator platform
It can be seen from this architecture diagram that the indicator catalog is an important carrier for building a unified indicator system and realizing indicator-driven . Kyligence Zen can easily define and manage indicators and form a unified indicator caliber, so that all business users, data consumers and decision makers can use a consistent caliber and indicator system, and the unified indicator system is the core of efficient management and communication of enterprises.
One of the core values of the indicator platform is to help business users lower the threshold for using data and improve the ability of business teams to interpret and use data. We can simply compare the above two figures. Compared with the traditional table-based processing and presentation methods on the left, the indicators on the right are obviously more intuitive to the business side, because indicators are the most friendly to business personnel. The presentation of is the premise of self-exploration.
On the other hand, for the data analysis team, Kyligence Zen can fully reduce the development cost through the feature of index automation. Relying on Kyligence's patented AI enhancement engine, it can dynamically extract data marts, related indicators, dimensions and other information, and quickly generate and continuously maintain indicators. Catalog to automatically capture the most valuable metrics and data points.
Welcome to visit the Kyligence Zen official website to explore more about Kyligence Zen's core capabilities and application scenarios of the indicator platform.
About Kyligence
Founded in 2016 by the founding team of Apache Kylin, Kyligence is a leading provider of big data analysis and indicator platforms, providing enterprise-level OLAP (multidimensional analysis) platform products Kyligence Enterprise and one-stop indicator platform Kyligence Zen, for Users provide enterprise-level business analysis capabilities, decision support systems and various data-driven industry solutions.
Kyligence has served many customers in banking, securities, insurance, manufacturing, retail, medical and other industries in China, the United States, Europe and Asia Pacific, including China Construction Bank, China Merchants Bank, Ping An Bank, Shanghai Pudong Development Bank, Bank of Beijing, Bank of Ningbo, Pacific Insurance, China UnionPay, SAIC, Changan Automobile, Yum China, Starbucks, Anta, Li Ning, AstraZeneca, UBS, MetLife and other world-renowned companies, and reached global partnerships with Microsoft, Amazon Cloud Technology, Huawei, Ernst & Young, Deloitte, etc. Kyligence has received multiple investments from institutions such as Redpoint, Broadband Capital, Shunwei Capital, Eight Roads Capital, Coatue, SPDB International, CICC Capital, Gopher Assets, and Guofang Capital.