Maximizing operation's potential of marine industry
ISO 9001:2015 and ISO 27001:2013 certified
Maximizing operation's potential of marine industry
ISO 9001:2015 and ISO 27001:2013 certified
Maximizing operation's potential of marine industry
ISO 9001:2015 and ISO 27001:2013 certified
Customized approach powered by Data science & Machine learning algorithms to drive actionable insights
Advanced Analytics Services
Marine industry face severe limitations in leveraging the power of data analytics to drive competitive advantage and optimize operating cost.Key drivers for these limitations are multiple & fragmented data sources, quality of data, lack of skilled resources, understanding of right approach based on their current maturity levels and finally constrain in their budgets
Usual approach by the industry is to deploy an integrated platform which attempts to acquire all possible streams of data. This approach is very expensive and ineffective as the companies usually start with all the answers and then finds the relevant questions that gets answered
“Ideal approach should be to start with “key questions” and align analytics to answer them accurately, optimally and economically
Our approach for sustainable and high impact data analytics
Step 1 : Start with key business objectives & priorities
Step 2 : Understand key questions that needs visibility
Step 3 : Identify minimum data points required to answer
Step 4 : Establish data governance for data sanctity
Step 5 : Identify economical ways to ingest data
Step 6 : Analyze & tune data using data science and machine learning algorithms
Step 7 : Configure- Dashboard, Notifications, Business rules, Sense & alerts, What-if Scenario’s
Step 8 : Develop Analytics which is independent of people
Step 9 : Automate complete process
Benefits from our approach
– High Return over investment
– Option for further Customization
– Scale up on need basis
– Modular yet an integrated approach
– Focus on vital few instead of trivial many
“Any data Acquired, cleansed , stored, analysed and presented but not used is an added data cost”
