1. To begin with, what are the evolving roles of data analysts in today’s landscape? How variable data projects can help companies grow?

In today’s context Data Analysts is multi-faceted personnel - A Strategist, Business Problem solver, Communicator and a bridge across the organization.

Currently, Data drives growth in all functions of organization. Some of the areas where data project is helping are personalization to enhance customer experience, innovate new products to meet changing dynamic needs, provide best in class services through enhanced customer understanding, improve their marketing and sales efficiency through market sensing and demand forecasting, increase profitability by pricing analytics, reducing business downtime by predicting risks and enhance efficiency by reducing redundancies.

 

2. How can Lingaro help your company grow? What makes you believe that Lingaro has the most comprehensive data & analytics solution?

• Today’s big problem is the availability of Data. Yes, there is lot of data available today. To be a successful data driven organization, it is important to identify ‘Useful’ and ‘Usable’ data and then leverage usable data to draw actionable insights driving companies’ strategy and operations in secure manner. Lingaro with its deep experience in data world for about 15 years, has been helping large global enterprises in collating and corelating data to identify the ‘Useful’ data and build data solutions from useful data to make it ‘Usable’ data leveraging our ‘Adoption-First’ approach.
• Data solutions are not just about good-looking dashboards and data quality. It is about enabling enterprises to continuously use data in their day-to-day life across all spectrums from Management to Manufacturing Plants, from Planning to Operations, Strategy to Sustainability. Hence it is imperative for a data partner to not only be a technical expert but have deep understanding of the data, business and enabling users to use the data. Lingaro over the years of experience has imbibed all these elements in its Adoption-First approach. Through this approach, Lingaro build data solutions that business can leverage at the shortest possible time and continuously evolve using agile practices ensuring data initiatives yield the desired benefit continuously through Playbooks, MVP, Data Story telling techniques and Jumpstart.
• Our approach also includes Data Literacy programs to enhance the business user’s capability to not only use data insights but also create it. Hence, we strongly believe Lingaro will be able make ‘Data Work for Enterprises’ in shortest possible time with best-in-class quality.

 

3. What are the challenges a firm encounter when implementing the data analytics solution? And how can analytics be implemented?

The biggest challenge today is to get the ‘Usable’ data and enhancing data culture among business users.

• By usable data we mean data that is reliable and relatable. Bringing these usable data from various systems and co-relating it is a huge challenge in today’s world as the data is fast growing and is not restricted to data collected within the enterprise but enriched and augmented with external data such as partners and 3rd parties. Hence it is important to build a strong foundation of data management and data governance. It has to be a continuous process to keep updating and enhancing to the changing demands.
• Most of the business users today understand the importance of data. First problem users are having is the sheer amount of data sometimes can be a daunting task for the business users to consume. Hence it is important to simply the usage of the data to driven action through design principles than just providing lot of data. Second is to upskill them through data literacy initiatives to use the ‘approved’ data to identify answers to their questions through self-service. Data Marketplace will lead to democratizing data and coupled with the right Low-Code / No-code tools can enable business users to quickly adopt the data in their work.

 

4. How does Lingaro help companies deal with data? What 3A Data-Driven Services does Lingaro offer?

Lingaro has a defined 4D methodology to enable enterprises achieve their data objectives at any stage of there maturity.

• Discover – Understanding the Business Need and Current Maturity level in data adoption and literacy considering both internal and external environment.
• Define – Establishing data process, procedures, and governance mechanisms to achieve the maximum benefits of the data initiatives specific to enterprise needs.
• Deliver – Building a Strong foundation that is scalable, secure and reliable and MVP driven approach to implement use cases to get the business benefits at the fastest possible time.
• Disseminate – Enabling , Embracing, Extending and Exploring data solutions for wider audience both within the organization and extended partner network. Drive Self-Service and Data Democratization
• Through our 4D methodology, Lingaro has been able to provide wide range of data solutions enabling business in Supply Chain, Procurement, Consumer, Sales and Marketing, Sustainability and eCommerce.

 

5. Tell us about the session that you are going to host at the show and how you believe it will be instrumental in creating a comprehensive roadmap for those in attendance?

In the session, I would like share our perspectives on the evolving trends around composable data analytics. Composable data analytics we believe will enable organizations to address all immediate needs of the business users and at the same time ensure the data governance and management is managed across the organization.