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The Hidden Power of Data Consumption Observability

ALTR shows you who’s consuming what data, where, when, why and how much so you can make better decisions for your business

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Published on Aug 05, 2021
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The Hidden Power of Data Consumption Observability

ALTR shows you who’s consuming what data, where, when, why and how much so you can make better decisions for your business

Published on Aug 05, 2021
Reading Time:

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In the mad rush to become the next winner of the “data-driven” race, many companies have focused on enabling data access across the business. More and more data are used, viewed and consumed throughout the company by more and more groups and more and more individuals. But sometimes a critical piece of information is missing: who’s consuming what data, where, when, why, and how much. Without this observability, companies are flying blind. When you don’t know what “normal” is, everything is “abnormal”. And how on earth can you effectively run a business that way?

Truly comprehending how data is being utilized brings tremendous value to an enterprise. When you have the full context around how your sensitive data is consumed by whom, in what roles, at what time of day, on what day of week, in what patterns across time, you can start to understand what “normal” looks like. When you have this level of operational visibility, you can compare normal to abnormal and begin to drive valuable insights. You can create custom views and reports that show how the data is being consumed for groups across the enterprise. And you can start to make better decisions for your business.

Get insights and take action

For “risk” executives – in other words, people who look at risk to the business at a high level and care about what happens to the brand – you can create visualizations that show how often data that is covered by regulatory or privacy requirements is accessed and by whom. For execs who have to sign privacy and compliance attestations you can tailor visualizations that give them clear information they need in order to feel confident signing their name.  

Compliance and privacy teams may discover anomalies like DBAs looking at Social Security numbers or developers accessing customer PII. They can then set up more stringent governance policies to correct that access. They can also create purpose-based access controls based on normal usage. For example, they can set controls that allow access within those normal constraints, but any access outside that will be flagged and an alert sent in real-time to the Security Team

Data management teams may want to look at the value the company is getting out of its data consumption. They will want to ensure that people who legitimately need access to data get as much as they legitimately need without any friction. Comprehensive observability into how the company is using data, what roles or lines of business are using what data, and how they’re using it can help data teams optimize data consumption to deliver the most value.  

If data sharing and monetization are part of your business, observability over data consumption is key. You can start to see which data and which data sets are valuable to which customer roles, segregated by company size, location, industry and more. For example, one of the companies I’m working with has seen that midsize companies are interested in a specific data set, but enterprise size companies look at a completely different data set. Knowing this could lead to data product optimizations like carving out the enterprise class data and potentially charging a higher price.

Easy observability with ALTR + Snowflake

ALTR provides several features with Snowflake that make getting observability easy. You can classify which columns contain sensitive data and focus observation only on those, so you’re not drowning in an unnecessary flood of “abnormal” alerts. You can step back and look at a data usage heatmap that gives you an overview of consumption by individual so you can see normal usage over time and easily spot and dig into any outliers. And our Tableau user governance capability allows you to collect individual consumption information on end users even when they’re using a shared service account.  

I believe observability is one of the most valuable things we do — everything else we effect, evoke or instrument is driven by knowing who is consuming what data. It’s a powerful foundation for our complete Data Governance solution and can be powerful tool to drive insights and action for your company.

If you’d like to see our data usage analytics in action, request a demo!

In the mad rush to become the next winner of the “data-driven” race, many companies have focused on enabling data access across the business. More and more data are used, viewed and consumed throughout the company by more and more groups and more and more individuals. But sometimes a critical piece of information is missing: who’s consuming what data, where, when, why, and how much. Without this observability, companies are flying blind. When you don’t know what “normal” is, everything is “abnormal”. And how on earth can you effectively run a business that way?

Truly comprehending how data is being utilized brings tremendous value to an enterprise. When you have the full context around how your sensitive data is consumed by whom, in what roles, at what time of day, on what day of week, in what patterns across time, you can start to understand what “normal” looks like. When you have this level of operational visibility, you can compare normal to abnormal and begin to drive valuable insights. You can create custom views and reports that show how the data is being consumed for groups across the enterprise. And you can start to make better decisions for your business.

Get insights and take action

For “risk” executives – in other words, people who look at risk to the business at a high level and care about what happens to the brand – you can create visualizations that show how often data that is covered by regulatory or privacy requirements is accessed and by whom. For execs who have to sign privacy and compliance attestations you can tailor visualizations that give them clear information they need in order to feel confident signing their name.  

Compliance and privacy teams may discover anomalies like DBAs looking at Social Security numbers or developers accessing customer PII. They can then set up more stringent governance policies to correct that access. They can also create purpose-based access controls based on normal usage. For example, they can set controls that allow access within those normal constraints, but any access outside that will be flagged and an alert sent in real-time to the Security Team

Data management teams may want to look at the value the company is getting out of its data consumption. They will want to ensure that people who legitimately need access to data get as much as they legitimately need without any friction. Comprehensive observability into how the company is using data, what roles or lines of business are using what data, and how they’re using it can help data teams optimize data consumption to deliver the most value.  

If data sharing and monetization are part of your business, observability over data consumption is key. You can start to see which data and which data sets are valuable to which customer roles, segregated by company size, location, industry and more. For example, one of the companies I’m working with has seen that midsize companies are interested in a specific data set, but enterprise size companies look at a completely different data set. Knowing this could lead to data product optimizations like carving out the enterprise class data and potentially charging a higher price.

Easy observability with ALTR + Snowflake

ALTR provides several features with Snowflake that make getting observability easy. You can classify which columns contain sensitive data and focus observation only on those, so you’re not drowning in an unnecessary flood of “abnormal” alerts. You can step back and look at a data usage heatmap that gives you an overview of consumption by individual so you can see normal usage over time and easily spot and dig into any outliers. And our Tableau user governance capability allows you to collect individual consumption information on end users even when they’re using a shared service account.  

I believe observability is one of the most valuable things we do — everything else we effect, evoke or instrument is driven by knowing who is consuming what data. It’s a powerful foundation for our complete Data Governance solution and can be powerful tool to drive insights and action for your company.

If you’d like to see our data usage analytics in action, request a demo!

The Hidden Power of Data Consumption Observability

ALTR shows you who’s consuming what data, where, when, why and how much so you can make better decisions for your business

Published on Aug 05, 2021
Reading Time:

In the mad rush to become the next winner of the “data-driven” race, many companies have focused on enabling data access across the business. More and more data are used, viewed and consumed throughout the company by more and more groups and more and more individuals. But sometimes a critical piece of information is missing: who’s consuming what data, where, when, why, and how much. Without this observability, companies are flying blind. When you don’t know what “normal” is, everything is “abnormal”. And how on earth can you effectively run a business that way?

Truly comprehending how data is being utilized brings tremendous value to an enterprise. When you have the full context around how your sensitive data is consumed by whom, in what roles, at what time of day, on what day of week, in what patterns across time, you can start to understand what “normal” looks like. When you have this level of operational visibility, you can compare normal to abnormal and begin to drive valuable insights. You can create custom views and reports that show how the data is being consumed for groups across the enterprise. And you can start to make better decisions for your business.

Get insights and take action

For “risk” executives – in other words, people who look at risk to the business at a high level and care about what happens to the brand – you can create visualizations that show how often data that is covered by regulatory or privacy requirements is accessed and by whom. For execs who have to sign privacy and compliance attestations you can tailor visualizations that give them clear information they need in order to feel confident signing their name.  

Compliance and privacy teams may discover anomalies like DBAs looking at Social Security numbers or developers accessing customer PII. They can then set up more stringent governance policies to correct that access. They can also create purpose-based access controls based on normal usage. For example, they can set controls that allow access within those normal constraints, but any access outside that will be flagged and an alert sent in real-time to the Security Team

Data management teams may want to look at the value the company is getting out of its data consumption. They will want to ensure that people who legitimately need access to data get as much as they legitimately need without any friction. Comprehensive observability into how the company is using data, what roles or lines of business are using what data, and how they’re using it can help data teams optimize data consumption to deliver the most value.  

If data sharing and monetization are part of your business, observability over data consumption is key. You can start to see which data and which data sets are valuable to which customer roles, segregated by company size, location, industry and more. For example, one of the companies I’m working with has seen that midsize companies are interested in a specific data set, but enterprise size companies look at a completely different data set. Knowing this could lead to data product optimizations like carving out the enterprise class data and potentially charging a higher price.

Easy observability with ALTR + Snowflake

ALTR provides several features with Snowflake that make getting observability easy. You can classify which columns contain sensitive data and focus observation only on those, so you’re not drowning in an unnecessary flood of “abnormal” alerts. You can step back and look at a data usage heatmap that gives you an overview of consumption by individual so you can see normal usage over time and easily spot and dig into any outliers. And our Tableau user governance capability allows you to collect individual consumption information on end users even when they’re using a shared service account.  

I believe observability is one of the most valuable things we do — everything else we effect, evoke or instrument is driven by knowing who is consuming what data. It’s a powerful foundation for our complete Data Governance solution and can be powerful tool to drive insights and action for your company.

If you’d like to see our data usage analytics in action, request a demo!

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