Category: Cloud, Data Engineering & Analytics, Product Engineering
Leveraging data and analytics combined with IoT edge computing
The Internet of Things is transforming the business landscape by creating a vast network of connected devices, people, and technology. The only way to stay competitive in this highly connected world is to implement IoT-driven analytics to your data and find meaningful insights. Data intelligence in combination with data science pertains to the analysis of the complex data to uncover hidden patterns and trends.
Focus on business value
In the world of the Internet of Things, everybody and everything is connected. Right from consumers in a sensor-rich environments to an enterprise with new ecosystem of technologies like AI and ML. But without data analytics, IoT would be like trying to find a pin in an ocean.
CIOs or business owners who master innovative IoT trends can have the opportunity to stay ahead and lead the digital innovation in their business. According to Gartner, IoT will digitally disrupt every business function in the coming years. Enterprises should ensure they have the necessary skills and system to support key emerging IoT Analytic trends by 2023 to make their data-driven journey successful.
IoT Analytics at the edge
Chances are your business is storing loads of dark data. And if you are already implementing automation, AI & ML, chances are you are creating more data than ever. In order to make sense from that data, enterprises need sophisticated analytics enriched with data sources on an agile, flexible, and secure platform to respond to the changing business needs.
They need to invest in an intuitive technology that can sense the needs of its business users and employees and respond quickly and seamlessly. IoT based platform is the perfect solution that uses smart technologies and industry-specific analytics to evolve core business processes.
It helps businesses expand their top line and reduce their bottom line while focusing on customer experiences. Well, there is no sure-shot way of digital transformation. Analytics and data services are powerful tools, but business intelligence is to combine them with Automation, AI, ML, and IoT to meet the current market trends and bring your business vision to life.
Outcome of implementing a real-time data management process
- Enables data storage and boundary less business possibilities through data science
- Self-serve data discovery helps gain rapid insights
- Agile, informatics rich approach to business decision making
- Businesses can get fast actionable outcomes to scale right
- Optimize & automate data stream engines to improve customer experience
- Gain unparalleled visibility and transparency into your systems
- Analyze and act on important data from anywhere anytime
- Real-time alerts on compliance and fraud risk management
- Promotes IT optimization and modernization
- Gain actionable insights from an ecosystem of a self-learning platform
- Optimize people processes and existing product performance
Be future ready, right now!
To tackle the issue, Krish Compusoft Services has created “Konfluence”, a cutting edge self-serving platform that enables enterprises with business intelligence and insights-driven competitive edge. With the unprecedented huge volumes and variety of data, organizations are forced to re-architect their data engineering capabilities by bringing analytics to the data.
Enabling data convergence, “Konfluence” empowers organizations across various industries to adopt an easy, self-learning system and pave a way forward to take advantage of the new technologies.
Analytics, AI, and ML are deeply integrated into this cloud-based comprehensive suite allowing clients to operate with new agility and efficiency across all their business functions and make smarter and faster business decisions.
It's time to pilot first, transform second with integrated data platform, and generate value along the way to be the real winners!
November 18, 2019
August 12, 2019
August 12, 2019