Manufacturing Data Analytics Solutions

digital transformation
through Data Analytics in manufacturing
MANUFACTURING being a highly dynamic and competitive marketplace needs to be highly efficient in handling its demand and supply requirements. Along with that comes the most important factor – keeping the production cost or expenditure low.
With the influx of technology in recent times, the manufacturing sector has also been leveraging it as a focal point of business growth. This ranges from optimizing inventory, order management to operational maintenance, besides opting for emerging tech like intelligent supply chains.
At Data Nectar, we implement futuristic technologies like AI, ML, and IoT to make a notable transformation in business processes from central offices to manufacturing plants, and marketing to distribution touchpoints.
Manufacturing is a complex sector owing to the huge volume of data that is produced incessantly. Business intelligence (BI) and predictive analytics can traverse through this complexity and deliver useful insights to be integrated with your CRM and ERP systems for strategic implementation.

BI in manufacturing industries besides simplifying every complex process from production to shipping, helps fast track operational efficiency by making huge volumes of data readily accessible and comprehensible – be it make to order or stock to order or mix patterns.

We use BI for Manufacturing to meet the constantly changing market demands in the industry. From sales strategy, forecasting, and supply chain management; to analysing team performances and suggesting corrective measures for apt allocation of scarce resources, we do it all.
Data Nectar Technosys as one of the highly experienced Data Analytics Consulting Companies since 2019, has been helping our clients in the manufacturing industry streamline their operations and improve business performance using BI and analytics.

Our extensive experience in the manufacturing sector transcends across industries such as Healthcare (Pharmaceutical), Chemical, Machinery, and FMCG to name a few.

We offer data analytics and BI solutions comprising of predictive analytics, business intelligence, data strategy, and management, besides operational planning and forecasting for your manufacturing business.

With performance metrics, BI reporting and analysis, integrated plans, and optimisation, you can not only improve understanding about your organisation, but help make timely and informed decisions. This helps enhance operational efficiency, boost sales, and drive overall business growth.

Are you looking for the best bespoke BI solutions for your
Manufacturing business?

Book a 30-minutes free consultation with our Business Intelligence experts today.
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How to leverage manufacturing analytics


Understanding manufacturing kips


Also, referred to as Throughput, this KPI helps track the production capabilities of a machine, line; or the ‘production’ volume over a specified period (days, weeks, months, quarters, years) and focuses on total output. You may compare it to previous (similar) periods to identify irregularities, relapse, or improvements.


This KPI analyses the overall production equipment effectiveness that includes scheduled downtime for maintenance, setups, and unscheduled downtime as well. It can also include machine changeover time and maintenance optimization.


This KPI helps monitor the costs implied in the production, i.e. the total cost of manufacturing - materials, overhead, labor, devaluation, etc. of a product on a per-unit basis. This is important as it helps decide the proper pricing of a product.


This KPI measures the Cumulative Annual Growth Rate of a manufacturing company as to at what rate the company has grown over the years irrespective of growth consistency in a year-on-year (YoY) basis. This financial KPI gives you insights on planning your next investments.


This KPI measures the percentage of scheduled maintenance vs. planned maintenance, besides taking into consideration all the emergency maintenance vital to address breakdowns. Manufacturers can use this metric to appropriately assign resources for preventative maintenance.


Payment or accounts receivable KPI tracks the time it takes on average to collect payments against your production. Considered to be one of the most baseline performance metrics, it helps reveal how market forces influence payment.


This crucial lean manufacturing and production KPI helps evaluate your equipment costs in the long run. Instead of being measured as an overhead item, it is used to optimize efficiency. It calculates the total cost of equipment maintenance (both planned and unplanned) and divides it by the number of units produced within a specified time.


This KPI helps track and optimize your unit costs (production and maintenance) over time. This metric takes into account all costs associated with production and maintenance at your manufacturing plant, and divides it by the number of units produced. A key productivity KPI, ‘unit costs’ helps you assess the changes required to boost efficiency.


This KPI measures the available capacity used on a production line. Firms can consider maximising the use of their expensive assets like buildings and equipment for optimum output. This percentage drops when a machine is idle or not utilised to its best capacity - indicating the facility’s ability to scale production or streamline job scheduling.
Let’s have a conversation to know more KPIs that can help you make better decisions
on improving the production efficiencies!
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