Logikview Analytics
visit site- $5,000+
- 10 - 49 employees
- indore, India
Logikview Analytics is a big data analytics firm that is located in Indore, India. Founded in 2016, Logikview Analytics' team of 31 employees specialize in big data consulting.
Client Insights
Industry Expertise
This provider has not added their industry expertise.
Client Size Distribution
This provider has not added their client sizes.
Common Project Size
$10K-$49K 2 projects
Clients
- WHP
Highlights from Recent Projects
Logikview Analytics developed a customized ERP solution for a real estate firm based in Indore, India. The firm sought a tool to assist their marketing and sales team in profiling potential customers. Over a six-month period, Logikview used a data-analytics tool to pull information from customer emails, phone numbers, and names. The data was then used to perform social profiling through various social media websites. The tool was fine-tuned to be user-friendly for both senior and junior staff. The project cost approximately $12,500 and ran from October 2016 to March 2017.
For a retail solutions company, Logikview Analytics was tasked with data analytics for a multi-million-dollar conglomerate customer. The customer wanted to examine and consolidate their store and e-commerce system data. Logikview ingested the data and used their own open source platform as well as a Spark Platform to store it. They cleaned, normalized, and merged the data, removing anomalies and filling gaps. They completed an initial effort in-office, presented their findings, and tweaked their data model until the client was satisfied with the analysis. The project began in mid-2016.
Logikview Analytics developed a forecasting tool for Flexituff International Limited, a textile bags company. The company, which employs over 5,000 people, was struggling with absenteeism and needed a tool to predict workforce attendance. Logikview developed a dashboard system that provides real-time data on workforce attendance. The project began in July 2017 and is ongoing, with the first phase completed successfully. The company is now able to predict 95% attendance accurately, and the solution is still being modified based on feedback. The project has so far cost $10,000.