

Workflow automation plays a crucial role in saving an enterprise's valuable money and resources apart from saving seemingly not-so-important but critical aspects in the workflow, slipping off the radar. However, for several companies, it is not a priority because their focus lies elsewhere, ie., in sorting out urgent and essential business activities. Quickwork, a no-code enterprise-grade platform has several automation applications under its umbrella, that work in real-time, for seamless transactions and conversations, companies can depend on to peace out with routine operations. Analytics Insight has engaged in an exclusive interview with Milind R. Agarwal, Founder & CEO, of Quickwork.
Quickwork provides a no-code enterprise-grade platform to enable any enterprise to connect or integrate 2 or more applications and automate all kinds of business and consumer workflows quickly and affordably. Enterprises worldwide are looking for tools to create and offer better customer experiences using digital transformation by unlocking data from legacy and unconnected systems and taking action on it; it offers a ready platform that can be used by non-IT or citizen developers to solve such problems. There are 1,000+ pre-integrated apps on Quickwork from various categories which are ready to use, a few of which are
Our vision is to 'Democratize Automation' with a mission To Make Automation Easy, Affordable, Accessible, and Compliant.
We strive every day to make automation
Our journey so has been an exciting one where we have grown from an app company to a platform company, as shown below year-wise –
2015 – Product: A predictive performance management app in a conversational format
2018 – Pivot: Build an enterprise-grade integration platform that is DIY and easy to use
2020 – Launched No-code integration, API, and workflow automation platform
2022 – Launched Embedded integration and Embedded workflows platform
Future – Working on some first-of-its-kind innovative feature releases, currently being tested in stealth mode
Quickwork integration, API, and automation platform work in 'real-time'; this unique capability makes our platform very useful for enterprises with use-cases that need transactions and messages to happen in real-time. For example, chatbots and IoT devices work seamlessly with other apps on Quickwork; similarly, fintech like building their automated workflows on Quickwork because they need their money flow transactions and related information to execute in real-time.
Quickwork is fully compatible with all RPA, Big Data, AI, and Robotics applications; we build connectors for any app in 48 hours if we get a well-written API document and test account credentials.
Many analytics or Business Intelligence apps like Power BI, Tableau, Google Data Studio & MetaBase are already integrated on Quickwork and we keep adding more as per customer requests.
Two specific challenges we face today are
1. Long decision-making cycles in enterprises span from 6 months to 9 months.
2. The unwillingness of senior executives to adopt cloud Vs. on-premises app installations.
The market opportunity for integration platforms is expected to exceed $9 billion in revenue by 2025 and will continue to grow. (Source – Gartner Forecast: Enterprise Infrastructure Software, Worldwide, 2019-2025, 2Q21 Update). We believe that our platform offered in SaaS- and Embeddable- formats will power integration, automation, and digital transformation journeys of many growing and large enterprises across industry verticals and SaaS app product companies worldwide.
We can build and maintain an edge over other players in the industry because of
We strive to continuously improve user experience in line with our mission where we state that part of democratizing automation is by making it 'easy' and 'very simple' to use.
This year we will surface a first-of-its-kind innovation on our platform which will immensely benefit many enterprises who are struggling to maintain and manage their legacy systems; currently, this innovative feature is under testing in stealth mode.
9. Kindly share your point of view on the current scenario of Big Data Analytics and its future.
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