Pricing
Heavy on Insights, Not Your Wallet
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Lite
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Searches / month
2000
Each Search is a query that INSIA runs to generate a result
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Events / month
50,000
Each Event is a unique row updated or added.
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Pushed Insights
Proactive actionable insights on performance deviations
Contact Sales
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Growth
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Searches / month
5K - 20K
Each Search is a query that INSIA runs to generate a result
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Events / month
50K - 10M
Each Event is a unique row updated or added.
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Pushed Insights
Proactive actionable insights on performance deviations
Contact Sales
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Enterprise
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Searches / month
2000
Each Search is a query that INSIA runs to generate a result
check
Events / month
> 10M
Each Event is a unique row updated or added.
check
Pushed Insights
Proactive actionable insights on performance deviations
Contact Sales
Compare Plans
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Features
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Lite
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Growth
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Enterprise
Users
Up to 5 users
Unlimited
Unlimited
Integrations
Only CSV and Excel
All
All + Custom
Interactive Data Stories
10
Unlimited
Unlimited
Smart Drilldowns
Upto 3 users
Unlimited
Unlimited
Insights
NA
Optional
Included
Pushed Insights
Upto 3 users
Unlimited
Unlimited
Row Level Data Access Control
NA
Optional
Included
1-click performance deviation Report (i360)
NA
Included
Included
Data Storage
INSIA Servers
INSIA Servers
Client Servers
Support
Email
Chat
Custom Client Specific SLAs
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Understanding Searches
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What's a Search?
A search is a request that INSIA runs to get answers to your data questions. The number of searches varies based on the activity that is performed on INSIA.
Action on INSIA - Search Count mapping
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If you search on the Search bar - it amounts to 1 Search every time INSIA gives an output.
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Each chart in an i360 report amounts to 1.5 Searches. If you do an i360 (Automated AI generated report on performance deviation), it could range between 5 to 45 Searches as each i360 report maximum charts count is limited to 30.
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Each chart in a data story amounts to 0.8 Searches.If you create a data story (Report/Dashboard) with 10 Charts, you will use 8 Searches. Moreover. Every time you open that data story, it will count as 8 Searches.
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Each drill down you perform will be counted as 1 Search.
Let's try to understand this with an example
Assume you run an e-Commerce store and have online sales data from Amazon, offline sales data from the point of Sale (POS) counters in stores, and financial data from your accounting systems. Let's calculate the total Searches in a month for different analysis requirements of the e-Commerce Store assuming 22 working days.
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If you perform 20 ad-hoc searches per day, then that will amount to 440 searches per month.
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If you have created five datastories with ten charts each and you view all five datastories once every day. You would be consuming 1100 Searches per month.
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If you run 10 Automated reports (i360) on performance deviations in a month, you would be consuming 300 Searches per month.
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If you perform an average of three 3-Level drill-downs daily, you would be consuming 3*3*22 = 198 searches per month.
In total, your consumption would be around 2000 searches per month and you'd be spending around 30 minutes per day on INSIA.
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Understanding Events
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What’s an Event?
An event is a single row of data that is added, updated, or loaded on INSIA every time the data load happens. The number of events varies based on the load type whether it appends or truncates.
Data Load on INSIA - Event Count mapping
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If the data load type is Append (incremental data is loaded), the Event count would be the Sum of the number of incremental rows that got loaded in INSIA and the number of rows updated in INSIA.
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If the data load type is Truncate (entire data is loaded repeatedly), the Event count would be the total number of rows in the table loaded in INSIA.
Let's try to understand this with an example
Assume you run an e-Commerce store and have online sales data from Amazon, offline sales data from the point of Sale (POS) counters in stores and financial data from your accounting systems. Let's calculate the total Events loaded in a month assuming 22 working days.
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Let's assume we have 10,000 rows in the online & offline sales table with an average daily incremental data load of around 200 rows.
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Let's assume we have 900 rows in our Accounting system with an average daily addition of 50 rows. But the data is a truncated load daily because of back-date changes.
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For the online and offline sales data, the total event for the first month would be 10,000 + 22*200 = 14,400 with events for subsequent month = 4,400.
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For the accounting system, the total event for the month would be around 900*22 = 19,800.
In total, your consumption would be around 25,000 Events per month.
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Not data preparation!
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