Increasing DEV Power with Augmented Coding May 31, 2023 Technological approaches and resources accelerate tasks associated with software development and maintain the quality of actions. This is Augmented Coding. Learn more
CI&T Data Hub Framework Enterprise Data Foundation Contact Us CI&T Data Hub Framework CI&T Data Hub is a data platform framework built on CI&T's years of experience developing global data platforms for leading enterprises. It empowers clients to create their own mature data platforms with minimal investment, tailored to their specific business needs. The Data Hub emphasizes seamless integration of development and governance, combining cloud-native data services with a comprehensive set of capabilities, including data integration, development, standard modeling, quality management, asset management, and metrics systems. This helps enterprises streamline data governance, improve management efficiency, and enhance data quality. One-stop Development Governance Platform Consolidates data integration, development, and governance into a single platform, simplifying cross-system operations. Data Lakehouse Supports structured, semi-structured, and unstructured data formats.Address the issue of data silos in enterprises by integrating and managing data from various systems in a unified manner. Flexibility And Customization Deploy relevant components flexibly based on the needs of the enterprise.Supports integrated development and customized client extension needs. Product Overview Data Lifecycle 01 Planning & Modeling - Data profiling- Define data types and rules 02 Ingestion - Choose data ingestion method- Collect data and clean raw data 03 Processing - Develop data processing algorithms- Define data layers based on business scenarios- Process and land the data into different layers according to defined model and scenarios 04 Serving - Land the processing result into data warehouse- Define and develop data serving standards- Integrate with downstream business applications 05 Regression - Data statistics to detect actual business effects- Parallel operation of multiple algorithms for effect comparison (A/B test)- Adjust the data structure and algorithm model according to the effect Business Architecture Follow the digital upgrade path of data collection, processing and analysis, enable enhanced insight, decision making for business, and create a closed loop of enterprise digital operation. Business Apps Data Platform Business Apps eCommerceCRMWebsitesSocial MediaMedia AssetsThird Party DataIoTPOS Data Store User ProfileActivityTransactionProcurementProducts DataMedia FilesMaster DataMarketing Campaign Data Computing Data CleansingDeduplicationUnificationUser SegmentationPredict AnalysisActivity AnalysisKPI GenPrivacy Data Serving Products BI ReportingDashboardPredictive AnalyticsDecision EngineRecommendation EngineTag LibraryMarketing Intelligence What we do Data Journey:From Raw Data to Business Impact We extract value from data to business impact and a data-driven culture driven by engineering, science, technology, business and PEOPLE.We drive our clients into the data journey, increasing their confidence and preparedness to make - data driven - decisions. Proven Framework CO-DESIGN STRATEGY 01 DEFINING & VALIDATING HYPOTHESIS ·Research&Understand the context;·Identify, define&Structure hypotheses;·Minimises uncertainty;·Feasible plan. DELIVER QUARTERLY IMPACT 02 CREATING NEW BUSINESS OPPORTUNITIES ·Data-driven decision;·Extract relevant insights;·Prioritize aiming business impact. SCALE & DIGITALLY TRANSFORM 03 MEASURING & CAPTURE IMPACT ·Measurement as part of the journey and gain of traction;·Data as a strategic/alignment resource;·A resource to choose the moment to pivot. Business Scenario CONSUMER / USER PERSONA Users can identify the salient features of consumers, conduct distributed observation of various portrait tags, customize the consumer operation model according to business needs for analysis. AI/ML RECOMMENDATION Let machine learning analyzes your data and identify patterns to predict what customers like. such as sending the right messages at the right time to the right customers, predicting what customers are likely to buy in the future, personalized content displayed on your digital channels. BUSINESS INSIGHTS To aid business users and top management in decision making and core business tracking, such as tracking sales metrics in the retail industry, KPI completion status. According to the business model, it is usually dismantled into various business divisions and regions. Case Studies Dec 04, 2020 Nestlé uses data and application intelligence to influence the consumer experience Learn more Sep 24, 2019 Creating Efficiency with Omnichannel Reports and Smart Replenishment Learn more Sep 24, 2019 An American Mass Media Company: Transforming Data Management Learn more Contact our data specialists
Dec 04, 2020 Nestlé uses data and application intelligence to influence the consumer experience Learn more