According to IDC’s January 2022 Worldwide CEO Survey, 65% of organizations are using at least 10 different data engineering and intelligence tools to integrate data.

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Go from data to decision in one unified platform
According to IDC’s January 2022 Worldwide CEO Survey, 65% of organizations are using at
least 10 different data engineering and intelligence tools to integrate data. This encompasses
enterprise data that is coming from or going to atleast ten different data management systems
and technologies. For enterprises, this results in a colossal waste of time, resources and
money and above all, it is cumbersome working with a complex patch work of motley tools,
each promising a different capability of its own. Today’s enterprises need a modern, intelligent
platform that has built-in capabilities to integrate, manage, make sense of and visualize all the
data under one common architecture –a unified data platform .
What is a Unified Data Platform?
A Unified Data Platform as its name indicates is an all-in-one platform that can weave
dynamic, diverse and distributed data efficiently, assimilate it, transform it and provide a
secure, scalable architecture to analyze that data. It also offers the most intuitive technologies
to understand the data and finally compose it into coherent, intelligent and clear visualization
of information for businesses to make informed decisions.
Why do we need unified data platform?
Enterprise applications and data are in a highly fragmented state residing in several
departmental silos that separate them. In their quest to unify the data and integrate
applications enterpise teams are having to work with a plethora of tools. As they focus on
mission critical use cases they are beset with insurmountable data quality and data
governance issues arising from the complexity of working with these multiple set of tools.
From data ingestion, to data prep to data automation and organization to analytics to
visualization, data professionals are working with a variety of tools offered by different vendors
that are inextricably tied to their respective cloud environments. This has resulted in precious
waste of time, resources and costs in arriving at critical information needed by business
leaders to make informed decisions. Internal teams in the organizations are exhausted playing
the system-integrator role in addition to their core responsibilities.

2. Enterprise teams and the complexity of data and anlaytics
tools
Data engineers and data stewards are coping with the tyranny of working across multiple tech
stacks, resources and skillsets as well as multiple product licenses, multiple SLAs and the
need to manage them. This has resulted in tedious, long drawn-out processes leading to
delayed time-to-insights. For CIOs and other leadership at the decision making level this boils
down to dealing with the economic consequences of high TCO incurred from the perspective
of multiple licenses, procurement costs, resources deployed to configure these various tools
as well the adverse time-to-market schedules caused by this unwieldy architecture. These
leaders have been looking for a “holistic environment” that can tie all the core components
needed to build a unified information architecture. In other words, a Unified Data Platform. A
Unified Data Platform solves this hairball of a problem by serving as a common, unified
architecture to bring the various tools necessary for enterprises to make their journey from
data to the right decision offering the following benefits:

3. Data access and integration: Easily connect, combine and assimilate data sets
collected from diverse sources under one architecture to make informed decisions.
Automation of data integration and management: Cost-effective and simplified data
acquisition, unification and structuring without complex operations and/or huge
engineering teams of engineers to reformat acquired data sets.
Data availability and seamless search: Structured and unified data makes search far
easier through queries human-generated and algorithmic.
Data Analytics: Analytics from structured, organized data allows databases to remain
scalable when the business demands increase.
Advanced Analytics: Integrated and structured data allows enterprises to deploy ML
algorithms and AI-driven analytics to uncover patterns, identify anomalies, and generate
predictive insights.
Improved enterprise intelligence: Collaboration and productivity that results in all-
round enterprise performance and optimization through readily available analysis of data
in consumable format
Infoveave – A Unified Data Platform for Data Automation &
Decision Intelligence
Infoveave is an end-to-end Unified Data Platform that comes with native, fully developed
individual components that offer these four fundamental capabilities and fit together as four
seamless, integral modules of the Infoveave product. The four modules that are the core
building blocks of Infoveave are as follows:
Insights – Transform your data into actionable insights with interactive visualizations.
Craft compelling narratives tailored for impact.
SciPyR –Explore patterns, predict outcomes, and conduct impactful analyses using
What-If, AutoML & Python.
FuseData – Streamline your processes and enhance data flows effortlessly. Set up
intelligent data pipes, reducing manual tasks and paving the way for seamless
operations.
NGauge – Create data apps to enable last-mile data collection, link seamlessly to
automations, and trigger actions.

4. These four modules of Infoveave can be used individually or as a combination of two or more,
depending on the needs of each enterprise or initiative.
The Infoveave Difference
In a cluttered and chaotic market full of data product offerings from companies that have
managed the expedient feat of assembling them into their stacks through multiple product
acquisitions, Infoveave stands out as a unique and only product developed from the ground up
over the years, with each one of these modules built natively into the Infoveave stack.
Embark on your enterprise data journey with Infoveave
Simplify, optimize, and automate your data pipelines. Narrate simple, yet insightful stories from
your raw data with Infoveave. Make informed decisions.
Raw Data > Automated Data pipe > Advanced Analytics > Actionable Insights > Informed
Decisions Infoveave - A unified Platform for Data Automation and Decision Intelligence
While selecting losses to work upon, you should keep the following in mind.
Ready to revolutionize your data journey with Infoveave?
Original Source: Go from data to decision in one unified platform