
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.
Today analytics has become
an integral part of the business world because of the versatility and accuracy
of the outcome it promises.
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.
IoT and Analytics go hand
in hand in the edge and in the cloud to deliver tremendous possibilities in an
increasingly connected world. Blending intelligent technologies it fuels
businesses with a steady stream of insights, gives 360o view on customer data
to boost revenues and relevancy, enables faster decision making, and
accelerates innovation.
It redefines the data
storage, batch & data processes to ensure complete visibility,
transparency, trust, and accessibility at speed. Enterprises across all the
industries are going digital with the digital disruption steering focus from
the core modernization to delivering customer experience.
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.
Profitable
growth is dependent on
becoming an intelligent enterprise by acting on insights today and predict the
market needs of tomorrow.
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!
Escalating volumes of data, application silos, complex AI, ML, and IoT
deployments, and other challenges makes scalability as well as
manageability difficult for any enterprise.
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!
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