What significance does data science and analysis have for the digital transformation of enterprises in the new era?

Currently, our country is at the historical intersection of high-quality development transformation and a new round of information technology revolution. Digital technology innovation has brought new momentum to high-quality development.

The Central Committee of the Communist Party of China and the State Council issued the "Overall Layout Plan for the Construction of Digital China" in February 2023, emphasizing the importance of data, a new production factor, in the digital era . Using data to drive digital construction and using digital construction to support high-quality development is an important path to realizing Chinese-style modernization.

Analyzed from the perspective of business operation and management, DataScience and dataanalyticsWhat is the significance of digital transformation for new eraenterprises##?

Business analysis is an indispensable part of corporate management. Through data analysis and interpretation of corporate operating conditions, market trends, etc., Provide scientific decision-making support for enterprise management, thereby improving the competitiveness and profitability of enterprises. In the past, enterprise data analysis was more about static presentation and post-analysis of result data. In today's fierce market competition, Under the combined effect of internal and external factors of agile change, ownsTimely, Accurate, Multidimensional DataAnalytical capabilities are the key to the survival and development of enterprises. Therefore, enterprise data analysis pays more and more attention to process data and dynamic analysis, and even requires pre-judgment of data.

##Altair is a global technology services company focused on data analysis and Artificial Intelligence

(AI), Simulation, High Performance Computing(HPC) The research and development of software products in fields such as automobiles, consumer electronics, aerospace, energy, rolling stock, shipbuilding, national defense, finance, and retail industries are dedicated to improving the competitiveness of their intelligent interconnection of all things. Altair RapidMiner

is a

data analysis subsidiary of Altair With the artificial intelligence platform, it completely combines data preparation, machine learning and predictive model deployment, Creates value between data and users. Altair RapidMiner starts from the whole life cycle of data analysis, covering data preparation and data science , three major businesses of data visualization. One:

Altair RapidMinerWhat solutions can be provided to enterprises? 1. Data preparation

It is reported that Blue Hill, Forbes, Harvard Business Review, IBM and other institutions have found that does not have suitable tools, “Data preparation”requires a lot of manual programming, which is not only time-consuming, costly and error-prone. With the rapid growth of data sources and data volume, enterprises need a simple but powerful data analysis solution that can not only support access to many different data sources, automatically perform repeatable data analysis work, and increase the level of trust in data analytics results across the organization.

Currently, there are more and more managers with forward-looking perspectives We are using datascience and analysis to create more business value. Data mining and analysis can enable enterprises to better understand the processdata, and use data to guide operations. Data is not just a presentation of results, but serves as a factor of production. Therefore, data preparation is the beginning of data analysis work, and its importance is self-evident.

2. Machine learning

No matter Industry vertical or not, a data-driven strategy is achieved when multiple users within an enterprise can access data, understand the value of the data through its insights, and use these data to analyze results and solve business problems.

Apply powerful and insightful data science, machine learning, and predictive analytics tools that

canhelp Enterprises realize data analysis visualization andadvanced prediction models to help enterprises make accurate decisions based ondataanalysis decision making. 3. Real-time streaming data

Altair RapidMiner

Has

Panopticon Stream stream processing engine, which together with Panopticon Visual Analytics software constitutes the Panopticon stream data analysis and artificial intelligence platform. Streams connect directly to a variety of streams and data sources, including Kafka, and support real-time data preparation , Compute Engine, Aggregation Engine , early warning engine, etc.key functions.

Specific to the business itself, Altair RapidMiner can provide customer analysis, operational analysis and risk analysis, including : Preventing customer churn, Customer lifetime value prediction,Customer segmentation, Next Best Action Strategy,Demand Forecast,Pricing Optimization,Device Prediction&Maintenance,Product Preference, Quality Assurance,Text Mining,Fraud Detection,Risk Management and many other aspects.

Two: Altair RapidMinerPlatform can help enterprises achieve the following needs

From a global perspective, the number of data service providers that empower enterprises’ digital transformation are numerous, diverse, and genetically diverse. They include not only service providers that started the digital transformation of specific industries such as industry, finance, and retail, but also Provider of general-purpose AI technology and data analysis products. In the context of data-driven business development and intelligent decision-making becoming an important trend in enterprise digital transformation, how to efficiently utilize the massive and complex data accumulated by enterprises, mine and maximize the potential of data Value, opening up the data circulation and full-process digital transformation of enterprise design and R&D-production and manufacturing-marketing and sales-operation and maintenance, etc., have become a proposition that enterprises urgently need to answer at this stage.

In fact, although many companies are striving to achieve full-process data-driven development, there are still isolation phenomena between departments and personnel, making it difficult for many companies to Leverage rapidly growing data correctly and efficiently. In the process of applying AI technology and AI, enterprises will produce a variety of "Friction",And the "friction" existing in data analysis will become an unstable factor in the digital transformation process of enterprises, leading to Project failure, waste of cost and personnel investment, etc.

6

On March 6th, Altair released a project about Frictionless AI Global independent investigative report. The survey attracted participation from more than 2,000 professionals from 10 countries and multiple industries. The survey results show that if there is friction between departments within the enterprise, AI and data analytics projects will die prematurely, and the failure rate remains high (ranging from 36% to 56%).

Based on the pain point of enterprise data analysis application, Altair proposed "Frictionless

#AI" for the first time in the industry , the concept of "frictionless AI", aims to help enterprises solve the friction between users and data, between data and industry experts, as well as the constant changes in tools and infrastructure.

Through the Altair RapidMiner platform, users can effectively solve friction in data analysis, mainly including:

1, Break the barriers to data insight – people can immediately find the information they need for analysis and make use of it;

2, Utilize the analysis of all available data to make high-quality decisions in a shorter time;

3、Businesses can predict results they can trust and plan based on those results and adjust strategies;

4, can avoid errors and easily get consistent reporting and analysis ;

5,Reduce the repetitive work of enterprises in data;

6. For individuals, there is no need to repeat the same data work, soOptimizePersonal Productivity;

7. For the team,

No need to repeatedly analyze and report on projects that others have completed, greatly improving team productivity.

Three: In terms of core functions, Altair RapidMiner platform provides the following 7 points of support##1,

is used to access data, A fully integrated system for data preparation, management, automation, predictive analytics and visualization;2、

Support Visualization, machine learning-driven predictions, and automatic generation of execution code for advanced data science models Embedded visualizations make it easier to interpret the model;

4, There are hundreds of predefined data preparation and data science functions in the work view; 5, Help data science teams and business analysts easily build and deploy models

; 6 ,Augmented analytics: Machine learning provides recommendations for data preparation and related data sources, and determines the trustworthiness of data assets

;7, Open and flexible, allowing the team to use popular algorithms and coding languages ​​without restrictions

.

Users use the fast visual workflow designer of the Altair RapidMiner platform for data analysis and artificial intelligence , can achieve efficient automated modeling, and put it into production. In addition, the platform can eliminate the complexity of cutting-edge data science, allowing users to use the latest machine learning algorithms and technologies such as TensorFlow, Hadoop and Spark.

It is worth mentioning that RapidMinerOpen sourceCommunity service will also be officially opened in China . RapidMinerCommunityIntegrate all existing applications, data and programming languages, covering More than 35# data scientists. This professional and free community communication space provides developers with a wealth of development tools and application software.

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