Data and Analytics
Data analytics is a broad term that encompasses many diverse types of data analysis. Any type of information can be subjected to data analytics techniques to get insight that can be used to improve things. Data analytics techniques can reveal trends and metrics that would otherwise be lost in the mass of information. This information can then be used to optimize processes to increase the overall efficiency of a business or system.
For example, manufacturing companies often record the runtime, downtime, and work queue for various machines and then analyze the data to better plan the workloads so the machines operate closer to peak capacity.
Data analytics can do much more than point out bottlenecks in production. Gaming companies use data analytics to set reward schedules for players that keep the majority of players active in the game. Content companies use many of the same data analytics to keep you clicking, watching, or re-organizing content to get another view or another click.
From creative solutions for financial companies to health care companies, Luneba brings a wide array of capabilities to help businesses tame the data explosion and help generate the key business insights that managers and executives demand.
Monetizing Your Data Value
The value of data comes from the insights it creates, the processes it optimizes, and its ability to help make better business decisions. The reality is, that despite data and analytics hype and expectations, most organizations are not successfully monetizing their data.
What you get
What you get
Gain a competitive advantage
Luneba can provide the analytical resources including Data Scientists, Data Engineers and DevOps resources to quickly set up a data environment and begin importing data and providing a team to build the analytical tools and data inspection to help companies quickly gain a competitive advantage.
We have worked with a number of companies in utilizing technologies to help create and build business insights to automate and optimize business processes around finance, supply chain, insurance, big data, and manufacturing.
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