"A Brief History of the Future" predicts that data will become people's faith in the future.
The future is already here and the future is here. Today, data plays a role and role beyond imagination. From the government including data elements among production factors to the emergence of data-driven business scenarios, companies and organizations have significantly increased their recognition of data and its value. How to fully unleash the value of data has become a must-answer question for all enterprises and organizations in their digital transformation.
However, today, with the explosive growth of data and the continuous deepening of digital transformation, enterprises and organizations are not lacking in rich data and thousands of indicators, but they are faced with a huge gap from "using data" to "fully using it". In the final analysis, the release of data value is a process of continuous iterative evolution. It cannot only rely on complex data technologies, but also requires all-round improvement of enterprise data culture and organizational structure.
The industry generally believes that in the process of releasing data value, tools that can comprehensively use data and use it well will be an important starting point. It can not only lower the threshold of data consumption and use, but also lead the data culture of enterprises and organizations. , The organizational structure is moving towards implementation.
As a well-known domestic BI manufacturer, Smartbi took the lead this year to launch the Smartbi V11 series of new products: the one-stop ABI platform Smartbi Insight V11 version and the Smartbi Eagle smart data operation platform, which directly address core challenges such as enterprise management decision-making and business process optimization. , helping users in thousands of industries to make full use of data in digital transformation and realize the full release of data value.
There’s no time to wait to unlock the value of data
Management guru Peter Drucker once said: “If you can’t measure, you can’t grow effectively.”
In the digital era, an enterprise's business decisions and strategic planning are inseparable from the measurement and analysis of data. Whether a company can make good use of data determines whether a company can seize fleeting market opportunities and growth opportunities.
Currently, the digital transformation of users in thousands of industries has entered deep water. As a core production factor, data has become an indispensable factor in the daily business operations of enterprises, deeply affecting the company's operation management, marketing services and even decision-making innovation. Enterprises’ expectations for unlocking the value of data are also quietly changing:
First, driven by the release of data value, enterprises hope to further lower the threshold for data consumption and use and expand data consumption groups and usage scenarios. For example, in leading domestic financial institutions, the number of monthly active users of data consumers usually reaches tens of thousands. Data consumption is no longer exclusive to senior decision-makers. Even ordinary employees often conduct business analysis based on data in daily business scenarios. As with decision-making, similar situations are also occurring in manufacturing, retail and other industries.
Secondly, with the sudden increase in market uncertainty, enterprises are increasingly relying on fast decisions and responses based on data rather than experience and intuition in daily business operation management and decision-making. IDC predicts that in the future, more than 90% of organizations will become "data-driven organizations." Data-based decision-making will not only reshape the elasticity and flexibility of business processes, but also significantly improve operational efficiency and business agility.
Third, as data continues to accumulate, companies are increasingly eager to form a data asset management system, comprehensively improve their ability to use data, and drive the evolution of data culture and organizational structure. Gartner believes in the "2023 China Data Analytics and Artificial Intelligence Technology Hype Cycle" that data asset management is the only innovation with a transformational benefit rating within two years, and is expected to be the first to achieve mainstream adoption.
There is no doubt that the rise of one-stop ABI platforms with indicators as the core in recent years is no accident. In the digital era, the one-stop ABI platform is becoming the engine of enterprise digital transformation, helping enterprises to establish a data operation system that is based on data, business-centered, and indicator system as the management starting point, precipitating digital assets and releasing data value, and truly realizing The leap from "using data" to "using data well".
In fact, as the market leader of one-stop ABI platform, Sematic has been committed to the upgrading and innovation of one-stop ABI platform in recent years. In August this year, Smartbi introduced the Smartbi V11 series of products, which not only set a new product benchmark for the market, but also provided a steady stream of power for the company's business management decisions and business process optimization.
One-stop ABI platform Smartbi Insight V11: a good helper to unlock the value of data
Compared with past products, the one-stop ABI platform has certainly solved a series of problems such as the lack of linkage between data and business changes in the past, the intersection of user experience in multi-platform operations, the consistency issues caused by system fragmentation, and the high cost of use and maintenance. Enterprise managers and operations personnel can truly understand the business status from a data perspective and conduct analysis and decision-making through specific indicators.
But is this enough?
According to Big Data Online, the one-stop ABI platform is ushering in a critical period for product breakthroughs, and the application of key technologies is expected to bring revolutionary breakthroughs to products. Especially with the continued development of AI technology and the emergence of LLM (Large Language Model, hereinafter referred to as: Large Model), the one-stop ABI platform is expected to become an excellent platform for the integration of Data + AI, allowing data to flow and real-time Analysis and business decision-making have become more efficient, which will have a disruptive impact on the company's future data analysis, data consumption, usage interaction, and usage experience.
In fact, we can get a glimpse of this from Smartbi Insight V11, Smartbi Insight’s latest one-stop ABI platform. As the leader of the one-stop ABI platform, Smartbi's latest Smartbi V11 series new products are setting a new benchmark in the market with their powerful data models and indicator models, large model capabilities and brand-new UI design.
First, Smartbi Insight V11 further strengthens the core capabilities of data models and indicator models, truly advancing “engine” capabilities. For example, the data model encapsulates multi-source, heterogeneous, and complex raw data and is the basis for enterprise users to use data simply and conveniently. To this end, Smartbi Insight has encapsulated stronger data processing capabilities in Smartbi Insight V11, including a new SQL engine that can query large amounts of detailed business data, and supports wizard-style visual operations to create calculated measures and calculated columns. .
Wizard-based generation of calculated metrics
In addition, the indicator model builds a demand communication bridge between business users and technical personnel. Both parties use a common interface and language to communicate. Business users use business terms to describe requirements, and technical personnel directly convert them into indicator models in Smartbi. , there is no loss or deformation of information in this process, and the unification of indicator calibers is achieved, helping enterprises to build a data asset system and a growth indicator system.
Second, Smartbi Insight V11 significantly lowers the threshold for data consumption and use from the breadth and depth of the product through a series of functions such as spreadsheets, self-service analysis toolsets, conversational analysis, and data mining. Especially with the introduction of large model capabilities, Smartbi Insight V11 brings revolutionary changes in the interactivity and usability of data analysis, making it truly a reality for everyone to use data.
New ad hoc query, self-service detailed data query tool, check and drag to query freely
For example, for common report requirements in daily business, in the past, from project establishment to successful report production, not only the project cycle was long, many people were involved, but the efficiency was also relatively low. Now, business department personnel themselves can complete it in a very short time through self-service analysis platforms. For another example, Smartbi Insight V11 introduces the capability of large models and continuously improves NLP to SQL capabilities, truly allowing ordinary users to obtain data analysis capabilities through natural language.
Third, Smartbi has conducted in-depth research on the usage habits of BI users, adopted a new UI design in the one-stop ABI platform Smartbi Insight, and re-optimized product modules, interaction methods and operation methods, greatly improving product ease of use. and usage efficiency, reducing user learning and usage costs, and bringing users an overall improvement in usage experience.
Add a new navigation page to open up the help system, allowing users to work and study more efficiently
There is no doubt that the capabilities of Smartbi Insight V11, the one-stop ABI platform, have been comprehensively upgraded. It is like the engine of enterprise digital transformation, bringing continuous power to the continuous advancement of digital transformation and helping to release the value of enterprise data. In fact, in addition to Smartbi Insight V11, Sematic also launched the Smartbi Eagle intelligent data operation platform this time to implement data operations and bring new ideas to the establishment of data culture and data-driven organizations and systems.
Smartbi Eagle: Put data operations into practice
As we all know, data is the cornerstone and core asset of an enterprise's digital transformation.
As digital transformation deepens, especially after the organizational structure and technical system are established, the construction of data thinking and data culture from management to front-line employees is crucial. Once the data culture is formed, employees at any level can realize the role of data and its value. They can truly believe in and use data, integrate data into the business, and the use of data can form a value system.
However, the formation of data culture cannot be completed overnight, but requires continuous growth and improvement in daily business. At present, the industry generally believes that "data operations" are the key to the implementation of data culture. "Data operations" drive data analysis results, data talent team building, data innovation energy efficiency and other aspects. Sematic believes that the core of "data operations" is to establish a data-driven data culture organization, allowing more users to use tools and data in more scenarios, and drive business development and business decisions through data.
For enterprises, once massive data is not operated, it is easy to form a data swamp, which not only cannot effectively support the data usage requirements of business scenarios, but also increases the challenges and costs of data management. Nowadays, enterprises' "data operations" are still facing many challenges. Gartner research shows that tool skills, cultural changes, and closed-loop data use and operations are the main challenges in promoting data culture.
To this end, Sematic has launched the Smartbi Eagle smart data operation platform, which helps enterprises establish a data-driven data culture from the six dimensions of data discovery, data usage, data security, data operations, data portals and data operation quantitative indicators. Organization, let employees understand the value of data and become familiar with data usage tools.
For example, in terms of data usage, companies usually have a variety of data consumers such as executives, business analysts, data analysts, and data scientists. Data consumers have different roles and needs. If they want everyone to use the data, Various tools suitable for different data consumers must be provided from the tool level. To this end, the Smartbi Eagle smart data operation platform provides various analysis tools including descriptive analysis, diagnostic analysis, predictive analysis, and instructional analysis to solve the core problems of data consumers.
For another example, in terms of data operations, the Smartbi Eagle intelligent data operation platform has built a new data-driven working model: a "business-centered" autonomous service mechanism. Enterprises can establish a data-driven operation organization through a "business-centered" independent service mechanism. The technology department focuses on basic data, basic models and data operation work, while the business department completes conventional data requirements and analysis more independently. Quickly respond to changes in market demand.
For another example, the Smartbi Eagle smart data operation platform provides quantitative indicators for data operations to measure the status of enterprise data operations and data culture construction. Smartbi Eagle understands how users and scenarios use data through "data penetration rate", allowing enterprises to understand their own data operations at any time.
Comprehensive observation shows that in the era of digital economy, the ability to "use and make good use of data" will be a capability that every enterprise must master, and it is also the key to differentiation of enterprise competitiveness. The one-stop ABI platform will be of great benefit to building a data asset management system and releasing data value. In the future, it will inevitably become the focus of more and more enterprises in digital transformation. Sematic’s Smartbi V11 series of new products has undoubtedly led the development trend of one-stop ABI platform products, and has also brought continuous power to enterprises to accelerate the construction of comprehensive data capabilities.