About Us

Established in 2018, DATATYK provides consulting and advisory about applying Information Technologies into Operation using their data that allow our clients to meet current and future analytical goals and objectives. Transforming data into insight gives companies a greater understanding of their information assets.

Contact Info

3rd floor, An Phu Plaza, 117-119 Ly Chinh Thang, Vo Thi Sau Ward, District 3, Ho Chi Minh City.
46 Bạch Đằng, Tân Sơn Hòa, Hồ Chí Minh.
(+84) 906 885 828
[email protected]
Tax code: 0314 821 656

Real-time analytics

91% of CIOs say streaming analytics can help them boost their bottom line.3

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Real-time analytics refers to the use of tools and processes to analyze and respond to real-time information about your customers, products, and applications as it is generated.

For some use cases, real time simply means the analytics is completed within a few seconds or minutes after the arrival of new data.

On-demand real-time analytics waits for users or systems to request a query and then delivers the analytic results. Continuous real-time analytics is more proactive and alerts users or triggers responses as events happen.

Real-time analytics on big data architecture

This solution idea describes how you can get insights from live streaming data. Capture data continuously from any IoT device, or logs from website clickstreams, and process it in near-real time.

Real-time analytics on big data architecture

This solution idea describes how you can get insights from live streaming data. Capture data continuously from any IoT device, or logs from website clickstreams, and process it in near-real time.

Real-time analytics Dataflow

Step 1

Easily ingest live streaming data for an application, by using Azure Event Hubs.

Step 2

Bring together all your structured data using Synapse Pipelines to Azure Blob Storage.

Step 3

Take advantage of Apache Spark pools to clean, transform, and analyze the streaming data, and combine it with structured data from operational databases or data warehouses

Step 4

Use scalable machine learning/deep learning techniques, to derive deeper insights from this data, using Python, Scala, or .NET, with notebook experiences in Apache Spark pools.

Step 5

Apply Apache Spark pool and Synapse Pipelines in Azure Synapse Analytics to access and move data at scale.

Step 6

Build analytics dashboards and embedded reports in dedicated SQL pool to share insights within your organization and use Azure Analysis Services to serve this data to thousands of users

Step 7

Take the insights from Apache Spark pools to Azure Cosmos DB to make them accessible through real time apps.

Real-Time Analytics Use Cases

From retailers and manufacturers to financial services firms and healthcare organizations, businesses are struggling to keep up with the fast pace of data. Because the value of this data can evaporate within days, hours, minutes, or even seconds, near-real-time processing is critical to gaining the most valuable business intelligence.

Real-time analytics addresses many organizational pain points.

Online retailers are blending transactional and web browsing activity to determine the next best offer to serve up to a customer.

Banks are analyzing behaviors to determine fraudulent activity or detect signs that a customer who works with one of their departments is ready for a pitch from another department.

Dynamic pricing, risk management, call center optimization, and security are just a few of the processes that can be optimized with real-time analytics.

Even sports teams make use of streaming analytics to better manage ticketing, concessions, retail sales, and on-field performance.

Our experts team will help you design, build and maintain intelligent, custom Real-time Analytics Solution that transform your data into intelligence action to bring your business to the higher level

Datatyk Real-time Analytics Consulting

We can also have solutions for replacing traditional Data Warehouse with a modern one optimized for today’s requirements in big data, analytics, real-time operation, high-performance, and cost control.

CONTACT US

DATATYK team are here to help !

3rd floor, An Phu Plaza, 117-119 Ly Chinh Thang, Vo Thi Sau Ward, District 3, Ho Chi Minh City

46 Bạch Đằng, Tân Sơn Hòa, Hồ Chí Minh

(+84) 906 885 828

[email protected]

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