INSIA Push AI

Reactive to Proactive Analysis

Reactive to Proactive Analysis via INSIA's Push-AI feature

Movement from Pull to Push analytics brings a paradigm shift in the way insights are consumed across the organizations globally

Generate Auto Insights in natural language and get notifications & alerts on deviations

AutoInsights - Pushed proactively to your inbox

Manufacturing

Manufacturing analytics insights pushed automatically to your inbox

Procurement

Procurement analytics insights pushed automatically to your inbox

Retail

Retail analytics insights pushed automatically to your inbox

Get business performance deviation in natural language directly to your inbox

Feedback loop to ensure continuous learning, leading to better insights

Intelligent filtering engine for pushing relevant insights only

Insight auto scheduler for the right insight at the right time

i-360* - One click analysis of any anomaly

Getting into the WHY of things by autogenerated detailed adhoc report

Auto identification of outliers and the mean

Feedback loop, to ensure continuous learning leading to better insights

Insights not only in charts but also in natural language

Automatic AI-curated ad-hoc report on click of any anomaly on the chart

Varied Analysis for Varied Needs

Time Series analysis of data

Time comparison

Time series analysis of data to uncover seasonalities and growth

Forcasting analysis

Forecasting

Forecasting to prepare you for future business challenges

Identify elements which are winners or losers

Which Where

Identify elements which are winners or losers

Contribution analysis

Contribution

Identify biggest contributors to a particular scenario

Uncover patterns between multiple variables

Relationship

Uncover patterns between multiple variables

Right insights at the right time to the right person through proprietary filtering and threshold engine with dynamic control limits

Beyond Visualisation

Not only What, but also Why!

PUSH Analytics, from data to decision



Opex has increased 20% in current month owing to new Rental lease
Customer level fill rate for region A has decreased by 45% in last 2 months
Sales executive N has not met her target from last 3 months
SKU 15 and SKU 18 are sold together are 50% times at store C in last 3 months
Competitor B has reduced its operational cost by 40% in last quarter
Carrier D has delivered maximum damaged goods in last 2 weeks
Spend is focasted to increase by 35% for category X in next 3 months
Route B has registered maximum delay in shipment in last month
Correlation is highest for Character N during Thriller Plot in North California
Character A has maximum correlation of SOD and impressions in last week
Pick up port N has contributed to maximum transit time in last week
Impressions have increased by 20% WOW on last friday for series C

How Push AI works

Intelligent data element associations built basis histroical data analysis, augmented with user feedback

Experience INSIA