Qlik Case Studies The Business Case for Buy Vs. Build in Rapid Prototyping Environments

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	The Business Case for Buy Vs. Build in Rapid Prototyping Environments Qlik

The Business Case for Buy Vs. Build in Rapid Prototyping Environments

Qlik

Technology Category	Analytics & Modeling - Data-as-a-Service Analytics & Modeling - Machine Learning Analytics & Modeling - Real Time Analytics
Applicable Industries	Agriculture
Applicable Functions	Product Research & Development Quality Assurance
Use Cases	Farm Monitoring & Precision Farming Predictive Maintenance Real-Time Location System (RTLS)
Services	Data Science Services Software Design & Engineering Services
Challenge	The challenge faced by mesur.io was to create a platform that could collect, analyze, and present meaningful data for small and mid-sized farms. The agricultural monitoring equipment available in the market was primarily designed for large-scale agriculture and did not provide actionable insights for smaller farms. The founder of mesur.io wanted to create a solution that was affordable and easy to use for the majority of farms worldwide. The solution needed to provide real-time data on soil conditions and offer recommendations based on historical trends. The challenge was to create a user interface that could present the data in a meaningful way and provide real insights rather than just displaying graphs. Read More
About Customer	The customer in this case study is mesur.io, a company that was founded to solve the problem of collecting, analyzing, and presenting meaningful data for small and mid-sized farms. The founder of mesur.io had experience in marine science and had worked on a project tracking animals and environmental conditions. He realized that there was a need for a solution that could provide actionable insights from the data collected from the soil. The founder had also worked on analytics startups and had solved hard math and architecture problems for large scale enterprises. When he moved closer to his aging father-in-law and bought a farm, he realized that the data problem was still very much alive. He wanted to monitor the soil on his new land, but the agricultural monitoring equipment available in the market did not provide actionable insights for smaller farms. Read More
Solution	The solution was to use Qlik Sense, a data analytics and visualization platform. Qlik Sense was chosen because it was built like a regular SDK for working with data and it made it easy for users to see the connections within their data. The platform was designed with a user-first approach, focusing on the needs of the users who were primarily golf course superintendents and small farm operators. The platform was designed to automatically handle all the key data points and provide a visualization dashboard that provided real insights. The use of Qlik Sense shortened the development time and time to market by at least six months. The platform was also designed to handle real-time data in conjunction with historical data and link all the data points together. This allowed users to filter down to the selected area and get actionable insights. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Data-as-a-Service

Analytics & Modeling - Machine Learning

Analytics & Modeling - Real Time Analytics

Applicable Industries

Agriculture

Applicable Functions

Product Research & Development

Quality Assurance

Use Cases

Farm Monitoring & Precision Farming

Predictive Maintenance

Real-Time Location System (RTLS)

Services

Data Science Services

Software Design & Engineering Services

Challenge

The challenge faced by mesur.io was to create a platform that could collect, analyze, and present meaningful data for small and mid-sized farms. The agricultural monitoring equipment available in the market was primarily designed for large-scale agriculture and did not provide actionable insights for smaller farms. The founder of mesur.io wanted to create a solution that was affordable and easy to use for the majority of farms worldwide. The solution needed to provide real-time data on soil conditions and offer recommendations based on historical trends. The challenge was to create a user interface that could present the data in a meaningful way and provide real insights rather than just displaying graphs.

About Customer

The customer in this case study is mesur.io, a company that was founded to solve the problem of collecting, analyzing, and presenting meaningful data for small and mid-sized farms. The founder of mesur.io had experience in marine science and had worked on a project tracking animals and environmental conditions. He realized that there was a need for a solution that could provide actionable insights from the data collected from the soil. The founder had also worked on analytics startups and had solved hard math and architecture problems for large scale enterprises. When he moved closer to his aging father-in-law and bought a farm, he realized that the data problem was still very much alive. He wanted to monitor the soil on his new land, but the agricultural monitoring equipment available in the market did not provide actionable insights for smaller farms.

Solution

The solution was to use Qlik Sense, a data analytics and visualization platform. Qlik Sense was chosen because it was built like a regular SDK for working with data and it made it easy for users to see the connections within their data. The platform was designed with a user-first approach, focusing on the needs of the users who were primarily golf course superintendents and small farm operators. The platform was designed to automatically handle all the key data points and provide a visualization dashboard that provided real insights. The use of Qlik Sense shortened the development time and time to market by at least six months. The platform was also designed to handle real-time data in conjunction with historical data and link all the data points together. This allowed users to filter down to the selected area and get actionable insights.

Impact #1	The use of Qlik Sense allowed mesur.io to create a user interface that provided real insights rather than just displaying graphs.
Impact #2	The platform was designed with a user-first approach, focusing on the needs of the users who were primarily golf course superintendents and small farm operators.
Impact #3	The platform was designed to automatically handle all the key data points and provide a visualization dashboard that provided real insights.

Impact #1

The use of Qlik Sense allowed mesur.io to create a user interface that provided real insights rather than just displaying graphs.

Impact #2

The platform was designed with a user-first approach, focusing on the needs of the users who were primarily golf course superintendents and small farm operators.

Impact #3

The platform was designed to automatically handle all the key data points and provide a visualization dashboard that provided real insights.

Benefit #1	Shortened development time and time to market by at least six months.

Benefit #1

Shortened development time and time to market by at least six months.

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Overview

The Business Case for Buy Vs. Build in Rapid Prototyping Environments

Operational Impact

Quantitative Benefit