Real-time Business - ValueCloud

BUSINESS SCENARIOS

Real-time Business,
powered by ValueCloud

Real-time Business, powered by ValueCloud

For European companies looking to implement Real-Time data,
ValueCloud services provide a solid and sustainable backbone.

For European companies looking to implement Real-Time data, ValueCloud services provide a solid and sustainable backbone.

Managing Real-time data — the new and multi-dimensional competitive advantage

Real-time analytics is the ability to process, analyze, and make decisions on data as it is being generated, rather than after it has been collected. This allows businesses to make decisions based on the most up-to-date information and respond quickly to changes in the market, customer behavior, and other factors.

Real-time analytics is important for modern business because it enables organizations to grasp a number of benefits & advantages which have been impossible to think of in the old days of batch & overnight processing:

Better decisions

With real-time analytics, businesses can gain insights into their operations and make data-driven decisions on the fly, which can improve efficiency and performance.

Improved customer experience

Real-time analytics can be used to monitor customer interactions and feedback, and make adjustments to improve their experience.

Risk & opportunity management

Real-time analytics can help businesses detect risks and opportunities in the market as they happen and respond quickly and effectively.

Performance monitoring

Real-time analytics can be used to monitor key performance indicators (KPIs) and make adjustments to improve performance in areas such as sales, customer service, and operations.

Streamline operations

Real-time analytics can help businesses identify bottlenecks and inefficiencies in their operations and make adjustments to streamline processes and improve productivity.

ValueCloud gets you on the path to real-time data, fast and safe

All ValueCloud services are designed to be a reliable foundation for Digital Innovation, across every industry and for companies of all size, and all age.

Real-time data streaming & processing

Real-time data streaming and processing refers to the ability to collect, analyze, and act on data as it is generated, rather than after it has been collected. This is achieved by using technologies such as data streaming platforms, real-time analytics tools, and distributed computing systems.

Data streaming is the process of continuously capturing, transporting and delivering time-sensitive data from a variety of sources, such as IoT devices, social media, financial systems, and more, to a data storage or processing system. Once the data is received, it is processed, analyzed, and transformed into actionable insights.

Real-time data analytics & insights

Real-time data streaming and processing enables businesses to detect patterns and trends in the data, identify potential risks and opportunities, and make decisions in real-time. This can be used in areas such as customer service, fraud detection, predictive maintenance, and marketing.

It can bring significant benefits to the business, such as increased efficiency, improved customer experience, and the ability to make real-time data-driven decisions.

Multi-Cloud

ValueCloud services can easily be integrated across various Cloud providers, or in any OnPremise and Hybrid setups.

Vendor agnostic

All ValueCloud services are based on 100% Open Surce components, leaving you with no exposure to vendor dependencies.

Easy setup & admin

Using the ValueCloud customer portal, all services can be set up and maintained through a single place, with no hazzle.

VALUECLOUD FOR REAL-TIME ANALYTICS

Let’s get some inspiration for real-time analytics & customer insights

ValueCloud services for managing real-time data, at scale

Event Streaming Service @ ValueCloud

Event Stream processing @ ValueCloud

Data Visualization @ ValueCloud

Real-time, distributed OLAP @ ValueCloud

Large-scale data analytics (upcoming)

Let’s start a conversation about real-time analytics & customer insights

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