Thanks to its simple, reliable and scalable analytics systems, Teradata enables data to be used in customer and business analytics; integrate data from multiple analytics systems and transform previously unseen opportunities into meaningful business outcomes.
Monitor assets with analytically-driven applications, increase overall equipment efficiency, strengthen production quality, and expand profitability projections.
Use advanced analytics, Internet of Things (IoT), and Artificial Intelligence (AI) to optimize asset uptime, increase throughput, maximize speed to market, securely increase production value, and improve manufacturability.
Use factory-level IoT data and advanced analytics to improve quality, create automated continuous improvement programs, and achieve zero accident/zero defect production. Increase productivity, achieve scalability and build an “Estimated Asset Management” methodology for your end-to-end processes by implementing analytically-driven quality routines.
Use advanced production analytics models to map ideal customer and product experiences and provide insights from any data source. Proactively manage the entire value chain, increase revenue, improve Customer Relationship Management (and improve Customer Lifetime Value) to achieve quick ROI and reduce cost.
Use your data the right way and your organization becomes a self-sustaining, demand-driven machine.
Eliminate obstacles and obtain all data in individual customer detail.
Integrate all functions and drive insights across the enterprise.
Provide enterprise-wide access to data by continuously optimizing processes and services.
Manage your current environment as efficiently as possible with detailed insights before assets fail. Improve the reliability and public safety of your network.
Support initiatives that help save and inform customers with insights from consumption patterns and network behaviors based on data.
The financial services industry is transitioning from offering generalized products to specialized services. Regulations, trends toward open and collaborative banking, and ever-increasing security concerns necessitate new approaches to data and analytics.
Use data-driven listening and hyper-personalization to create unique financial experiences in your industry in your relationships with your customers
Fully automate decision making and integrate risk decisions with balance sheet optimization.
Increase agility and innovation at scale through open banking and accessible APIs, encourage monetization of data.
Streamline access across data sources and systems to harmonize physical, virtual, and home care services and enhance real-time data-driven decision-making.
Customize healthcare solutions and approaches to meet the specific needs of each patient.
Harness the capabilities of artificial intelligence to better predict new diagnoses, disease progression, and health risks.
Switch to a Value-Based Care contract to manage health plans, providers, manufacturers, and other costs in reimbursements tied to patient outcomes.
Optimize product inventory, pricing, and promotions to ensure that all in-store and online experiences are as relevant as possible for each customer.
Integrate data from numerous sources to better predict demand, improve visibility, increase real-time flexibility, and drive automation.
Integrate all content and distribution channels together to reach each customer at the right place and time.
Integrate financial systems and insights, model multidimensional profitability and risk, and minimize downsizing, fraud, and loss.
Use tried, tested and proven Customer Experience, Financial Infrastructure and Industrial Intelligence solutions that address business needs directly, eliminate the complexity associated with hybrid environments, and transform unseen opportunities into actionable insights.
Leverage a self-learning engine to strengthen marketing communications, send the right messages and offers, and support real-time cross-selling.
Adopt an integrated, enterprise approach to plan, develop, and manage customer communications across multiple channels, product lines, and workplaces.
Combine data and touchpoints used to create a holistic Customer Satisfaction Index score.
The financial services industry is transitioning from offering generalized products to specialized services. Regulations, trends toward open and collaborative banking, and ever-increasing security concerns necessitate new approaches to data and analytics.
Use data-driven listening and hyper-personalization to create unique financial experiences in your industry in your relationships with your customers
Fully automate decision making and integrate risk decisions with balance sheet optimization.
Increase agility and innovation at scale through open banking and accessible APIs, encourage monetization of data.
Provides fast and consistent access to required reports and detailed data analysis. With the integration of all enterprise data, you can manage your business more predictively.
It provides the fastest return on investment with optimal total cost of ownership and easy management. It is fully compatible with known and widely used data analytics tools.
Use actionable insights to improve financial operations, including planning, budgeting, profitability management, spending, and forecasting capabilities. Set objective business goals with a holistic view of the distribution of income with direct and indirect costs.
Use existing data sources and advanced analytics to discover new products and services, improve the customer experience, and drive peak growth and increased profitability.
Artificial intelligence (AI) is changing everything, reshaping industries, professions and lives, and setting success stories in every industry, from autonomous vehicles to consumer electronics. Artificial intelligence, which is increasingly established in the business world, represents a huge change for businesses. Companies that take their place early in this trend have high impact business results in many areas such as fraud detection, production performance optimization, preventive maintenance, and recommendation engines.
Before the big data trend, data integration normalized information in a kind of persistence (like a database) and created a value. But this situation is no longer enough to manage all the data in the organization alone. That's why you can gain valuable insights even from an unstructured database with Teradata.
- Olaya Yönelik Veri Gölü ve Veri Ambarı Entegrasyonu
- Kullanıma hazır veri entegrasyonu
- ETL / ELT Uygulamaları
- Kurumsal sistemler, ürün back-end'leri ve bulut arasında verilerinizi gerçek zamanlı taşıma imkanı
- Akıllı ön işleme ile veri hacimlerini azaltın.
- Pahalı bulut hizmetlerini atlayın ve doğrudan depolamaya entegre edin.
- Daha az bileşenle veri mimarinizi basitleştirin.
- Daha hızlı ve daha kolay inovasyon ile entegrasyon sürecinin personel maliyetini azaltın.
Nerede çalışırsa çalışsın tüm iş yükünüz genelinde devreye alma ve izleme süreçleri için sunulan merkezi bir kontrol düzlemi sayesinde şirket içinde ve çoklu bulutta entegrasyonları çalıştırabilirsiniz.
- Ürün back-end'leri, ERP, CRM, envanter, tedarik zincirleri ve diğer tüm sistem veya uygulamaları entegre ederek harika bir müşteri deneyimi yaratın.
- Entegrasyonlarınıza akıllı otomasyonlar ve mantık ekleyin.
Google Data Warehouse (DWH) service that supports serverless, scalable, and cost-effective multicloud, designed for data analytics.
- With built-in Machine Learning functions, you can create models with SQL on your data and use the results.
- Allows you to analyze your data in any cloud environment as BigQuery datasets.
- Provides a technology that allows you to perform realtime analysis.
- You can manage and query your data from all data sources in a single environment.
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Serverless, fast and cost-effective stream and batch data processing service.
- Fully managed data processing service.
- Automatic provision and management of all necessary processing resources.
- Automatic scaling to finish transactions as soon as possible.
- Latest version Apache BEAM SDK support.
- Secure and consistent data processing
Easily retrieve real-time event data for BigQuery, Data Lake, or operational databases.
- You can easily import analysis event data from any source and transfer it to BigQuery with Dataflow.
- Secure, scalable messaging or queuing system that requires no operational workload.
- Includes in-order and any-order at-least-once message delivery capabilities.
- With precise access controls and always-on encryption, data is transmitted securely.
Dataproc is a fully managed and highly scalable service for running Apache Hadoop, Spark, Flink, Presto and 30+ open source tools and frameworks. You can use Dataproc for data lake modernization, ETL, and secure data science on a large scale, integrated with Google Cloud at a very low cost.
- With enterprise-grade security, you can run open-source data analytics operations at scale.
- You can also run it on Google Compute Engine or Google Kubernetes Engine, as well as serverless.
- Enables advanced security configurations such as Kerberos, Apache Ranger and Personal Authentication.
- With per-second pricing, you can achieve 54% lower TCO compared to on-premise data lake systems.
Enterprise BI platform for business intelligence, data applications and analytics.
- Access to all data sources
- Reusability thanks to the concept of 'Common Data Model'
- Unmatched performance with cloud datasets
- Customized and predefined data applications
An enterprise-scale, fully managed, cloud data integration service.
- Visual “Drag and Drop” management console for distribution of data pipelines
- Extensive and free library of more than 150 pre-configured adapters and converters
- Native integration with Google Cloud services
- End-to-end data array for root cause and effect analysis
Fully managed and scalable data catalog and metadata management service.
- Explore your data with a simple and powerful search interface.
- Automatically synchronize technical metadata and create schematic tags for business metadata.
- Automatically tag sensitive data via Cloud Data Loss Prevention (DLP) integration.
A fully managed workflow and pipeline editing service.
- Write, plan, and monitor sequential layouts that spread across hybrid and multi-cloud environments.
- Open Source Apache Airflow support.
An intelligent cloud data service for visually discovering, cleaning, preparing data for analysis and machine learning.
- Fast discovery and anomaly detection
- Easy and powerful data preparation
- Predictive digital transformation
- Rich conversions
- Active profiling
- Data quality rules
- Help organize data pipeline
- Standardization
It offers a fully managed, end-to-end platform for data science and machine learning.
- It gathers all the machine learning tools you need in a single AI platform.
- Build and scale machine learning models faster on a unified AI platform using pre-trained and specialized tools.
- Offers a fully managed, end-to-end platform for data science and machine learning.
- It gathers all the machine learning tools you need in a single AI platform.
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Secure and customizable computing service that allows you to create and run virtual machines on Google's infrastructure.
- Get up and running quickly with pre-built and ready-to-use configurations.
- Create virtual machines with the optimal amount of vCPU and memory while balancing the cost.
- Reduce computing costs by up to 91%.
- Encrypt your most sensitive data as it is processed.
- Optimize resource utilization with automated recommendations.
GKE is a simple way to deploy, scale, and manage Kubernetes automatically.
- Automatic stand up and management Pod and cluster auto-scaling
- Pre-built Kubernetes apps and templates
- Container-specific local networking and security
- Automated tools to move workloads easily
Next-generation products with transcendent performance and experience
Flexible Specifications
- 100+ custom specifications, odd vCPU/memory ratios supported, and 30% cost reduction with Alkaid intelligent scheduling
Al-driven High Speed
100% compute for applications 95% of the time, thanks to application-aware QoS guarantees powered by Pangu models
6x Burst Speed
Redis, Nginx, and MySQL applications 2x, 3x, and 6x faster on Huawei Cloud EulerOS, powered by AI combined with human expertise
Compute Hot Upgrade
3x faster memory copy with the QingTian card, the first and the only public cloud vendor offering compute hot upgrade
Ultimate Experience
Simplified experience, love at first sight
A fully-managed, PostgreSQL-compatible, relational database that is easy to set up, run, and scale
High Availability and Reliability
99.95%+ service availability and 99.9999999%+ data reliability 90+ Plugins
More than 90 plugins to support a wide range of application scenarios
15+ Security Certifications
RDS provides extensive security features to meet compliance needs. It encrypts data in transit and has earned 15+ security certifications.
Lower Costs
RDS presents a significant edge over on-premises databases. RDS requires minimal initial investment.
A fully hosted Kubernetes service that lets you build, run, and scale containerized applications.
Diversified Computing
Heterogeneous compute power is supported, including x86, Kunpeng, and Ascend, backed by years of industry experience.
Robust Performance
Take advantage of zero-loss passthrough networking and elastic scaling in seconds to handle burst traffic.
Open Ecosystem
CCE is always up to date with stable Kubernetes community versions.
This software development pipeline builds in Huawei's years of R&D best practices at one stop. These practices are secure and trustworthy across the full process and can facilitate efficiency increase and digital transformation.
One-stop Software Development Pipeline
Full-lifecycle software development services, including;
CodeArts Req, CodeArts Repo, CodeArts Pipeline, CodeArts Check, CodeArts Build, CodeArts Deploy, CodeArtsTestPlan, and CodeArts Artifact
Out-of-the-box, cloud-based development, full-processvisualization, and efficient remote collaboration
Offers enterprise-level scalable big data clusters and open-source components such as Hudi, Doris, Spark, HBase, Flink, Clickhouse and Hadoop for versatile lakehouses
- Over 300,000 Nodes
- Over 10,000 Commercial Cases
- 21,000 Nodes in a Single Cluster
- IDC MarketScape Report 2020
A next-gen, all-scenario data warehouse that features one-stop analysis and unlimited performance and capacity, helping you make the most of your data.
- 2048-Node Ultra-large Cluster
- First CAICT certified 2048-node cluster
- 4+1 One-stop AnalysisDatabase/Warehouse/Mart/Lake + IoT integration
- Multi-ecosystem compatibility
- Compatible with TD/Oracle/PG/MySQL ecosystems
Cloud Search Service (CSS) provides functions such as distributed online search, log statistics reports, and semantic search powered by open-source Elasticsearch.
Fast Retrieval
Gain insights from terabytes of data in milliseconds and use our visualization platform for data display and analysis.
Scalable Online
Request clusters and scale them online with no service interruptions.
Effortless O&M
A fully-managed, out-of-the-box service backed by our expert teams. Routine operations take just a few clicks.
Strong Kernel
A fast, affordable vector search engine, with decoupled compute and storage and isolated read and write.
Back up data stored on Huawei Cloud severs, disks, databases, desktops, SFS Turbo file systems, files and directories on local and cloud servers, and on-premises VMware environments to protect against viruses, accidental deletions, and software or hardware faults.
Secure
Three-layer ransomware protection protects against ransomware attacks. Cross-region data replication enables remote backup and disaster recovery
Efficient
Data is backed up at 1 GB/s, five times faster than other vendors. Instant Restore allows for an RTO of just minutes
Easy to use
Unified management of cloud service and app backups, policy-based automatic backups, a clear view of backup and restore tasks on the console dashboard
Comprehensive
Cloud servers, cloud disks, SFS Turbo file systems, and VMware VMs can all be backed up.
Secure, stable, and infinitely scalable object storage that helps you save money and monetize data
Peace of Mind
99.9999999999% (12 nines) of data durability
High Efficiency
Tens of millions of TPS and 2.4 Gbit/s single-stream uploads and downloads
Strong Security
Fine-grained access control, encryption, audit, and others
Ease of Use
OBS Console and command line tools available for managing massive amounts of objects
Cross-AZ and cross-region disaster recovery (DR) for your ECSs with an RPO of just seconds. If the production site crashes, you can quickly recover services at the DR site with only minimal downtime.
Reliable
An RPO of just seconds and an RTO of minutes. With SDRS, your services recover fast.
Easy to Use
Online DR drills and one-click switchover make DR convenient and efficient.
Inexpensive
There is no need to build DR equipment rooms.
This distributed cache acceleration service is fast, secure, and reliable for a better user experience.
- 2,800+ Points of Presence (PoPs)
- Global acceleration network over 130+ countries and regions180+ Tbit/s Bandwidth
- Joint operations with leading carriers and elastic resource scaling
4 Scenarios
One-stop acceleration solutions for all kinds of businesses
24/7 Support
Custom solutions to meet your requirements for business development
Quick creation and deployment, centralized O&M, and high scalability of Workspace desktops boost your service efficiency while enhancing security.
Superior Experience
The in-house Huawei Delivery Protocol (HDP) ensures smooth HD transmission, a true-color lossless display, and ultra-low desktop control latency.
Flexible & Efficient
Workspace supports the on-demand scaling and purchase of computing power, centralized resource management, and fast desktop deployment.
Secure & Reliable
Data is stored on the cloud for end-to-end protection, coupled with strong security policy control and encrypted storage.
Open Ecosystem
You can use open APIs to migrate your office system to the cloud without developing underlying technologies.
In todays fiercely competitive business environment, leading big data companies — organizations that differentiate, outperform, and adapt to customer needs faster than their competitors — rely on big data analytics. Coupled with analytics, they see how purposeful, systematic use of big data opens up opportunities for better business outcomes. Data analytics, artificial intelligence (AI) and machine learning play a big role in solving complex business problems for leading organizations in their industry.
We work with leading companies in the field of Turkey by developing more than 200 successful projects with more than 120 leading companies in the sector.
Take your place among our successful business partners.
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By combining our 30+ years of experience and experience with the centers of excellence in our ecosystem, we prepare your organization to lead the digital transformation!
