Boosting Operational Excellence in the Manufacturing Industry

about Case study

A leading company in the manufacturing industry, Microtek faced operational issues due to unconnected data sources and manual processes. Without data analytics, the tedious preparation of reports stifled timely decision making hence affecting efficiency.

With an aim to transform the data extraction landscape through automation, centralized storage, and advanced analytics, respectively, the Prismberry team utilized high-tech technologies to simplify processes and drive growth.

4.6
4.6/5
$20 Million

Annual Savings Delivered

100+

Solutions Delivered

50+

Satisfied Customers

60%

Increase in Energy Efficiency

Challenges

The company handles data from multiple sources, like Excel, CRM, and ERP, and the entire process is required to download the files, manually clean the data, generate various output Excel sheets using Pivot tables and formulas, and apply BI (Business Intelligence) for data visualization in Excel charts.

Let’s understand the key pain points faced by the company due to this complex process:

Incomplete Data Synchronization

These inconsistencies in the data occurred as a result of poor synchronization across platforms, which affected reports integrity and undermined decision-making

Manual Report Generation

The report generation process was manual and lacked data analytics capabilities. So, it created a lot of errors, which significantly increased production time

Disparate Workflow

The current workflow involved downloading reports from several software sources and undergoing manually cleaned data manipulation, such as pivot table usage, along with applying BI for graphing.

Lack of Data Consolidation

Data located on various platforms gave rise to partial and deferred reporting, hence losses in business performance and provision of opportunities for appropriate decisions.

The challenge

Confidentіal Inc. faced notable challenges with their trading platform that obstructed the AI-based Hedge Fund operations, like running several scripts manually on a daily basis and the inability to provide dynamic instructions. Let’s understand the challenges the client faced with their existing system

Unscalable On-Premise Infrastructure

The platform was hosted on AWS and on-premise infrastructure. The on-premise systems lacked scalability and resilience. Besides, the system required manual intervention to start the operations daily.

Static Instructions

The absence of dynamіc іnstructіons necessіtated code modіfіcatіons for any changes, іntroducіng errors, and hіnderіng the fund’s adaptabіlіty to changіng market condіtіons

Time-Intensive Machine Learning Algorithms

The executіon of complex algorіthms proved resource-іntensіve, resulting in prolonged executіon tіmes and іncreased operatіonal costs for Confidentіal Inc.’s Hedge Fund.

Manual Trading Operations

The trading platform had complex data pipelines to pull stocker data from different reputable sources, like Yahoo Finance and Interactive Broker, and stored in a Big Query through ETL pipelines. Frequent manual scrіpt executіons on a daily basis resulted in operatіonal іneffіcіencіes, 2-3 hours to set up a system for trading operations, and required human intervention, affecting the overall relіabіlіty of tradіng operatіons

Prismberry Solution

Prismberry’s end-to-end solutions not only automated data processes but also facilitated the birth of proactive and informed strategies based on actions, making Microtek competitive in the manufacturing cumulative. Here’s how we helped the company to overcome the barriers

01. Automated Data Extraction

Automated pipelines were rolled out to access data from ERP, CRM, manual Excel files, and eCommerce applications at ease for the input process.

03. Rule-Based Business Insights

Ensured rule-based implementation for the development of sound business insights toward informed and strategic decision-making involving data

05. Cleaning and Transformation

Applied data cleansing and transformation processes to improve the quality of available data before it could be used for analysis and reporting.

02. Tableau Data Visualization

Used Tableau to perform data visualization and developed interactive dashboards that make it easy to understand important business information

04. Data Analytics Engine

Used an advanced data analytics engine to create a range of MIS and reports that gave strategic directions

06. Centralized Data Storage

Stored the extracted data in a reliant Data Warehouse, taking advantage of BigQuery’s features and functionalities to ensure that there is easy access and management

01. Automated Data Extraction

Automated pipelines were rolled out to access data from ERP, CRM, manual Excel files, and eCommerce applications at ease for the input process.

02. Tableau Data Visualization

Used Tableau to perform data visualization and developed interactive dashboards that make it easy to understand important business information

03. Rule-Based Business Insights

Ensured rule-based implementation for the development of sound business insights toward informed and strategic decision-making involving data

04. Data Analytics Engine

Used an advanced data analytics engine to create a range of MIS and reports that gave strategic directions

05. Cleaning and Transformation

Applied data cleansing and transformation processes to improve the quality of available data before it could be used for analysis and reporting.

06. Centralized Data Storage

Stored the extracted data in a reliant Data Warehouse, taking advantage of BigQuery’s features and functionalities to ensure that there is easy access and management

Results

Prismberry’s advanced solutions simplified the company’s operations and made them more secure, efficient, and cost-effective. Let’s understand the impact of our solution on the company’s operations

Fully Automated Processes

The integration of full automation resulted in less need for manual interventions, leading to simplified operations.

Simplified

operations

Daily MIS and Management Reports

The company’s team received daily reports, which facilitated decision-making in real time that affected the cost of running operations

Real time

decision-making

On-Demand Graphs and Management Summaries

The agile system made it possible to visualize data and provide management summaries for sales, purchase, customer support, and customer feedback to make the response better. These dashboards helped the management with decision-making, error identification, etc.

Customer feedback

resulted in better response

Reduction in Components Theft/Loss

The system allowed Microtek to realize a significant 50% reduction in component theft or loss, which led to valuable cost savings.

50% reduction

in component theft or loss

Automation of Manual Tasks

The automation helped the company to free around three people who were engaged in the completion of the processes manually. The employees can now focus on more strategic tasks that could boost profits.

Full automation

freed up to 3 employees

The technology that we use to support Paysafe

Python
BigQuery
Tableau

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