Data professionals have to react to endless requests. Repetitive data tasks are done by hand over and over. Data is scattered across multiple sources. Today, all that changes. Introducing Intersect Labs 2.0 - your one-stop shop to build data apps.

Introducing Intersect Labs 2.0

Ankit Gordhandas
Ankit Gordhandas
August 18, 2021

The current state of data analytics is broken.

Data professionals respond to endless requests for tedious, manual tasks, which bottlenecks innovative, data-driven decisions. Repetitive data tasks are carried out by hand and data is scattered across multiple sources which leads to painful hours of compiling. 

Today, all that changes.

Data workflows today

As data becomes pervasive across organizations, the focus shifts to methods of utilizing that data to make intelligent decisions. Currently, such methods are few and far between and often exist in the form of R/Python scripts or Excel spreadsheets with complex formulas. 

More often than not, this analysis requires the expertise of an engineering/data team, and must run locally – rendering these methods of analysis non-reproducible, and non-scalable.

So what happens when “other” teams want to utilize data? Let’s say you lead the sales ops team. Once or twice a week you nudge your data scientist colleague to pull down data from the CRM, combine it with information from a spreadsheet you maintain, run some aggregate statistics and generate a couple charts to display trends.

This task is boring and laborious, and leaves you at the mercy of your  data scientist colleague. What happens when an influx of sales leads freezes up her computer? What if she goes on vacation for a couple weeks?

Such data processes are ripe for automation. In an ideal world, the data scientist would set up the data workflow once, and turn it into a delightfully intuitive interface for you. Every week, you could just upload your spreadsheet and let the workflow handle the rest.

Well, this ideal just became a reality! 

Since our launch in 2019, our goal has always been to make data-driven decisions easy for all teams. Today we launch Intersect Labs 2.0: a platform that will help you intuitively build data workflows and turn them into easy to use interfaces. In other words, Intersect Labs is your one stop shop for building  data apps.

How do I build a data app?

Components of a data app:

At its core, any data workflow is a combination of the following components:

  1. Import data: bring data in from one or more sources (e.g., database, spreadsheet, CRM etc)
  1. Process data: run some computation on said data (e.g., add two columns together, combine datasets, run aggregation metrics, make predictions using a machine learning model)
  1. Trigger action: use the data to drive an external action (e.g., update Facebook Ad spend, notify inventory manager in a warehouse)
  1. Visualize: turn the data into a graph to succinctly present a set of insights or conclusions
  1. Export data: update some datastore with processed data (e.g., add new rows in a database table, update field in CRM)

With this recipe in mind, data apps can be assembled on Intersect Labs by using building blocks from each of  these categories. 

Powerful transforms

Out of the box, Intersect Labs comes with many building blocks.

Want to calculate the difference between two date/time columns and express results in hours? Add the “Date/Time Difference” block. Want to group by two columns and calculate the sum, mean and median of another column? Easy, just add the “Aggregation” block.. Want to do complex arithmetic? Use the “Do Math” block.

Once you pick a block to add, you’ll configure it using a mad-lib style format. Say it out loud: it’s just like describing what you need from the data scientists, but now the analysis power is in your hands! 

If your computation needs are not satisfied by the available transforms, just let us know – we will create that transform for you. If you are okay with it, we will add it to the public gallery. If the computation is proprietary, no worries; give us a heads-up and we will make it available as a private block only to you.

Integrations

Your data is in many places, and you like it that way! We get it.


On Intersect Labs, you can bring in your data from any external source. The sources supported currently are below, but if you don’t see your favorite source, just let us know! If it has an API, it can be integrated within Intersect.


Databases:

  1. SQL
  2. POSTGRES

Data warehouses:

  1. Snowflake
  2. Redshift
  3. Google BigQuery

CRMs:

  1. Salesforce
  2. Hubspot
  3. Close.io

Other databases-like tools:

  1. Google Sheets
  2. Airtable
  3. Notion

E-commerce platforms:

  1. Shopify
  2. Bigcommerce

Why Intersect Labs?

Build once, reuse over and over

After being built, a data app on Intersect Labs can be published and made available to other teammates. Once published, you can run an app at the click of a button, or set it to be triggered on schedule.

Team sport

True data-driven decisions are made only when multiple stakeholders participate in the process. Intersect Labs is built with a strong opinion that analytics is a team sport.

Easy sharing means complex workflows can be built by data professionals, and after publishing can be used by personnel on other teams. Everyone rests easy – the data team knows that data is only analyzed using processes they have blessed, and users don’t have to worry about implementation details.

Powerful compute

Powering data apps built on Intersect Labs is an insanely fast and infinitely scalable custom built compute engine. Whether your data has a few hundred rows or millions of rows; whether it has dozens of steps or hundreds of steps, it will always run reliably.

Visualizations

Data analytics almost feels incomplete without some kind of chart  to show the outcome. Today, you can effortlessly turn your data into major visualizations like bar charts, line plots, scatter plots, or pie charts. You can also combine charts and/or tables into aesthetic, polished dashboards.

As with all things Intersect, if you don’t see your favorite visualization, just let us know!

Actions

Often a major part of utilizing data is not just manipulation and visualization, but rather sending results to some end destination.

 With Intersect, you can export your output directly to your database/data warehouse/CRMs or tools like Airtable, Google Sheets and Notion.

Coming soon…

More integrations

We are constantly going to keep adding integrations so you can seamlessly import your data from any source, or send it to any destination.

Custom python scripts

You may have your own secret sauce algorithm for what you want to do with your data. Soon you will be able to use that as a block within Intersect.

Bring your own machine learning model

Did you just build a super accurate predictive model for the operations team, but they won’t use it because setting up the python environment on every computer is a chore? Fear not, in the not-too-distant future, you will be able to use your own machine learning model as a step in your app.

App Store

Time to monetize the awesome app that you just created!

Start building data apps

The future of data-driven decision making is here. If you currently use Excel/Jupyter notebooks/Python scripts to run the same analyses every day/week/month, then this switch is a complete no-brainer. If you wish to make your data work for you, Intersect Labs 2.0 is the key to harnessing this power. Don’t waste any more precious time on tedious, manual tasks- check out this demo video, and sign up today. We can’t wait to help you make fully informed, data-driven decisions.


FAQs

No items found.

Want to automate complex data operations?

Book a Free Demo
Book a Call
Book a Demo
This is some text inside of a div block.

Introducing Intersect Labs 2.0

Data professionals have to react to endless requests. Repetitive data tasks are done by hand over and over. Data is scattered across multiple sources. Today, all that changes. Introducing Intersect Labs 2.0 - your one-stop shop to build data apps.
Ankit Gordhandas
Ankit Gordhandas
January 25, 2021
August 18, 2021
Updated on:
Contents

Automate Your Data Work

Intersect enables you to build data workflows and turn them into easy-to-use interfaces.
Get Free Demo

The current state of data analytics is broken.

Data professionals respond to endless requests for tedious, manual tasks, which bottlenecks innovative, data-driven decisions. Repetitive data tasks are carried out by hand and data is scattered across multiple sources which leads to painful hours of compiling. 

Today, all that changes.

Data workflows today

As data becomes pervasive across organizations, the focus shifts to methods of utilizing that data to make intelligent decisions. Currently, such methods are few and far between and often exist in the form of R/Python scripts or Excel spreadsheets with complex formulas. 

More often than not, this analysis requires the expertise of an engineering/data team, and must run locally – rendering these methods of analysis non-reproducible, and non-scalable.

So what happens when “other” teams want to utilize data? Let’s say you lead the sales ops team. Once or twice a week you nudge your data scientist colleague to pull down data from the CRM, combine it with information from a spreadsheet you maintain, run some aggregate statistics and generate a couple charts to display trends.

This task is boring and laborious, and leaves you at the mercy of your  data scientist colleague. What happens when an influx of sales leads freezes up her computer? What if she goes on vacation for a couple weeks?

Such data processes are ripe for automation. In an ideal world, the data scientist would set up the data workflow once, and turn it into a delightfully intuitive interface for you. Every week, you could just upload your spreadsheet and let the workflow handle the rest.

Well, this ideal just became a reality! 

Since our launch in 2019, our goal has always been to make data-driven decisions easy for all teams. Today we launch Intersect Labs 2.0: a platform that will help you intuitively build data workflows and turn them into easy to use interfaces. In other words, Intersect Labs is your one stop shop for building  data apps.

How do I build a data app?

Components of a data app:

At its core, any data workflow is a combination of the following components:

  1. Import data: bring data in from one or more sources (e.g., database, spreadsheet, CRM etc)
  1. Process data: run some computation on said data (e.g., add two columns together, combine datasets, run aggregation metrics, make predictions using a machine learning model)
  1. Trigger action: use the data to drive an external action (e.g., update Facebook Ad spend, notify inventory manager in a warehouse)
  1. Visualize: turn the data into a graph to succinctly present a set of insights or conclusions
  1. Export data: update some datastore with processed data (e.g., add new rows in a database table, update field in CRM)

With this recipe in mind, data apps can be assembled on Intersect Labs by using building blocks from each of  these categories. 

Powerful transforms

Out of the box, Intersect Labs comes with many building blocks.

Want to calculate the difference between two date/time columns and express results in hours? Add the “Date/Time Difference” block. Want to group by two columns and calculate the sum, mean and median of another column? Easy, just add the “Aggregation” block.. Want to do complex arithmetic? Use the “Do Math” block.

Once you pick a block to add, you’ll configure it using a mad-lib style format. Say it out loud: it’s just like describing what you need from the data scientists, but now the analysis power is in your hands! 

If your computation needs are not satisfied by the available transforms, just let us know – we will create that transform for you. If you are okay with it, we will add it to the public gallery. If the computation is proprietary, no worries; give us a heads-up and we will make it available as a private block only to you.

Integrations

Your data is in many places, and you like it that way! We get it.


On Intersect Labs, you can bring in your data from any external source. The sources supported currently are below, but if you don’t see your favorite source, just let us know! If it has an API, it can be integrated within Intersect.


Databases:

  1. SQL
  2. POSTGRES

Data warehouses:

  1. Snowflake
  2. Redshift
  3. Google BigQuery

CRMs:

  1. Salesforce
  2. Hubspot
  3. Close.io

Other databases-like tools:

  1. Google Sheets
  2. Airtable
  3. Notion

E-commerce platforms:

  1. Shopify
  2. Bigcommerce

Why Intersect Labs?

Build once, reuse over and over

After being built, a data app on Intersect Labs can be published and made available to other teammates. Once published, you can run an app at the click of a button, or set it to be triggered on schedule.

Team sport

True data-driven decisions are made only when multiple stakeholders participate in the process. Intersect Labs is built with a strong opinion that analytics is a team sport.

Easy sharing means complex workflows can be built by data professionals, and after publishing can be used by personnel on other teams. Everyone rests easy – the data team knows that data is only analyzed using processes they have blessed, and users don’t have to worry about implementation details.

Powerful compute

Powering data apps built on Intersect Labs is an insanely fast and infinitely scalable custom built compute engine. Whether your data has a few hundred rows or millions of rows; whether it has dozens of steps or hundreds of steps, it will always run reliably.

Visualizations

Data analytics almost feels incomplete without some kind of chart  to show the outcome. Today, you can effortlessly turn your data into major visualizations like bar charts, line plots, scatter plots, or pie charts. You can also combine charts and/or tables into aesthetic, polished dashboards.

As with all things Intersect, if you don’t see your favorite visualization, just let us know!

Actions

Often a major part of utilizing data is not just manipulation and visualization, but rather sending results to some end destination.

 With Intersect, you can export your output directly to your database/data warehouse/CRMs or tools like Airtable, Google Sheets and Notion.

Coming soon…

More integrations

We are constantly going to keep adding integrations so you can seamlessly import your data from any source, or send it to any destination.

Custom python scripts

You may have your own secret sauce algorithm for what you want to do with your data. Soon you will be able to use that as a block within Intersect.

Bring your own machine learning model

Did you just build a super accurate predictive model for the operations team, but they won’t use it because setting up the python environment on every computer is a chore? Fear not, in the not-too-distant future, you will be able to use your own machine learning model as a step in your app.

App Store

Time to monetize the awesome app that you just created!

Start building data apps

The future of data-driven decision making is here. If you currently use Excel/Jupyter notebooks/Python scripts to run the same analyses every day/week/month, then this switch is a complete no-brainer. If you wish to make your data work for you, Intersect Labs 2.0 is the key to harnessing this power. Don’t waste any more precious time on tedious, manual tasks- check out this demo video, and sign up today. We can’t wait to help you make fully informed, data-driven decisions.


Enjoyed The Read?

Don’t miss our next article. Get updated on current data trends and powerful automations that can solve your data challenges.

Want to automate your most complex data tasks?

Only today: Talk with a Data expert for free.
Book a Call

Get your time back.

Build your first interactive data app today and start saving hours every month.

Book a Demo