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Talk to us

Phone

EDW optimisation.

Visible, effective!

A black bowl fixed with gold, Kintsugi repair

DataAu is designed to linearize data warehouse, LOCALLY!

Your Data Warehouse is leaking time, money, and focus with unattended pipelines, duplicate tables and underutilized tables.

 

DataAu, like the art of Kintsugi highlights and fixes the leaks.

The Problem

Small to medium companies organize data in layers: Bronze (raw), Silver (cleaned), and Gold (dashboards). But there's a hidden cost.

A few tables updating, with little or no use, sometimes duplication. No accountability, just added storage and compute costs

The compliance team restricting use of AI in the data warehouse, making you rely on human oversight for optimisation.

Duplicate tables, invisible dependencies, with no oversight or accountability for the incurred cost

The Cost of Data Waste

As per the report, these are the stats we are dealing with in terms of wasted data and the financial impact

of data pipelines have no downstream usage

average annual waste on unused data infrastructure

typical wait time for leadership data requests

of analyst time spent on redundant queries

How DataAu Works

Our three-feature process repairs your data warehouse, transforming chaos into clarity, making your data

“functional for everyone”

FEATURE: 01

Clean Up

DataAu scans the entire EDW, just schemas - not data, finds similar tables and proposes a strategy to merge them without hampering the downstream. It also proposes the proper schedule to execute actions, to ensure a smooth switch.

 

The Humans are always in control

cleanup UI

FEATURE: 02

Prevent

DataAu understands the tables and stores them logically. Whenever a new table with similar schema is detected, the Admin is alerted with appropriate actions. The Humans are always in control

Database UI

STEP: 03

See

Anyone can query data in natural language. DataAu intelligently determines which tables to reference, builds the SQL query, joins the data, and creates disposable tables for visualization. From question to interactive chart in 5-10 minutes.

VIsualisation UI

We work with almost any database

  • Mongo DB logo
  • Pote Gre SQL logo
  • My SQL logo

Building support for

AWS logo
Google Cloud logo
Azure logo

Modus Operendi

How we engage, how we deliver!

We scan the data warehouse, generate a report on potential savings by merger, removal or adjustments of pipelines

DataAu sits in your EDW, suggesting the tables to be removed, one by one with surgical precision.

Once the Purge is done, the app goes into maintenance mode, alerting the governance team of any new duplicate tables

...but,AI in my database?

It is ok to be worried about using AI in the database, and this is a valid question. However, we have put in safeguards to ensure the AI behaves the way it is supposed to!

DataAu does not have access to internet. For required information it asks the Data engineers. It is an on-premise llm.

DataAu cannot edit the tables directly. It can only create disposible

Everything is processed, stored and used within your environment. You can control what DataAu can see and what is hidden.

Only works on rolled up values from the tables. Do not have row level access to fetch PII data

Admin governed role base access control at a column level granularity. No more table level access for queries.

Supports on premise databases without any internet access, ensuring data securitya at all points.

Ready to save on cloud costs?

Stop wasting resources on unnecessary pipelines. Let DataAu repair your data warehouse with the precision of Kintsugi.

Talk to us

Phone

or send an email to

hello@dataau.co

Data  A U logo

© DataAu. All Rights reserved

Privacy policy | Terms of use

Data Au Logo

Problem

Talk to us

Phone

EDW optimisation.

Visible, effective!

A black bowl fixed with gold, Kintsugi repair

DataAu is designed to linearize data warehouse, LOCALLY!

Your Data Warehouse is leaking time, money, and focus with unattended pipelines, duplicate tables and underutilized tables.

 

DataAu, like the art of Kintsugi highlights and fixes the leaks.

The Problem

Small to medium companies organize data in layers: Bronze (raw), Silver (cleaned), and Gold (dashboards). But there's a hidden cost.

A few tables updating, with little or no use, sometimes duplication. No accountability, just added storage and compute costs

Duplicate tables, invisible dependencies, with no oversight or accountability for the incurred cost

The compliance team restricting use of AI in the data warehouse, making you rely on human oversight for optimisation.

The Cost of Data Waste

As per the report, these are the stats we are dealing with in terms of wasted data and the financial impact

of data pipelines have no downstream usage

average annual waste on unused data infrastructure

typical wait time for leadership data requests

of analyst time spent on redundant queries

How DataAu Works

Our three-feature process repairs your data warehouse, transforming chaos into clarity, making your data

“functional for everyone”

FEATURE: 01

Clean Up

DataAu scans the entire EDW, just schemas - not data, finds similar tables and proposes a strategy to merge them without hampering the downstream. It also proposes the proper schedule to execute actions, to ensure a smooth switch.

 

The Humans are always in control

cleanup UI

FEATURE: 02

Prevent

DataAu understands the tables and stores them logically. Whenever a new table with similar schema is detected, the Admin is alerted with appropriate actions. The Humans are always in control

Database UI

STEP: 03

See

Anyone can query data in natural language. DataAu intelligently determines which tables to reference, builds the SQL query, joins the data, and creates disposable tables for visualization. From question to interactive chart in 5-10 minutes.

VIsualisation UI

We work with almost any database

  • Mongo DB logo
  • Post Gre SQL logo
  • My SQL logo

Building support for

AWS logo
Google cloud logo
Azure logo

Modus Operendi

How we engage, how we deliver!

We scan the data warehouse, generate a report on potential savings by merger, removal or adjustments of pipelines

DataAu sits in your EDW, suggesting the tables to be removed, one by one with surgical precision.

Once the Purge is done, the app goes into maintenance mode, alerting the governance team of any new duplicate tables

...but AI in my database?

It is ok to be worried about using AI in the database, and this is a valid question. However, we have put in safeguards to ensure the AI behaves the way it is supposed to!

DataAu does not have access to internet. For required information it asks the Data engineers. It is an on-premise llm.

DataAu cannot edit the tables directly. It can only create disposible

Everything is processed, stored and used within your environment. You can control what DataAu can see and what is hidden.

Only works on rolled up values from the tables. Do not have row level access to fetch PII data

Admin governed role base access control at a column level granularity. No more table level access for queries.

Supports on premise databases without any internet access, ensuring data securitya at all points.

Ready to save on cloud costs?

Stop wasting resources on unnecessary pipelines. Let DataAu repair your data warehouse with the precision of Kintsugi.

Talk to us

Phone

or send an email to

hello@dataau.co

Data  A U logo

© DataAu. All Rights reserved

Privacy policy | Terms of use

Data Au Logo

Problem

Talk to us

Phone

EDW optimisation.

Visible, effective!

A black bowl fixed with gold, Kintsugi repair

DataAu is designed to linearize data warehouse, LOCALLY!

Your Data Warehouse is leaking time, money, and focus with unattended pipelines, duplicate tables and underutilized tables.

 

DataAu, like the art of Kintsugi highlights and fixes the leaks.

The Problem

Small to medium companies organize data in layers: Bronze (raw), Silver (cleaned), and Gold (dashboards). But there's a hidden cost.

A few tables updating, with little or no use, sometimes duplication. No accountability, just added storage and compute costs

Duplicate tables, invisible dependencies, with no oversight or accountability for the incurred cost

The compliance team restricting use of AI in the data warehouse, making you rely on human oversight for optimisation.

The Cost of Data Waste

As per the report, these are the stats we are dealing with in terms of wasted data and the financial impact

of data pipelines have no downstream usage

average annual waste on unused data infrastructure

typical wait time for leadership data requests

of analyst time spent on redundant queries

How DataAu Works

Our three-feature process repairs your data warehouse, transforming chaos into clarity, making your data

“functional for everyone”

cleanup UI

FEATURE: 01

Clean Up

DataAu scans the entire EDW, just schemas - not data, finds similar tables and proposes a strategy to merge them without hampering the downstream. It also proposes the proper schedule to execute actions, to ensure a smooth switch.

 

The Humans are always in control

FEATURE: 02

Prevent

DataAu understands the tables and stores them logically. Whenever a new table with similar schema is detected, the Admin is alerted with appropriate actions. The Humans are always in control

Database UI
VIsualisation UI

STEP: 03

See

Anyone can query data in natural language. DataAu intelligently determines which tables to reference, builds the SQL query, joins the data, and creates disposable tables for visualization. From question to interactive chart in 5-10 minutes.

We work with almost any database

  • Mongo DB logo
  • Pote Gre SQL logo
  • My SQL logo

Building support for

AWS logo
Google CLoud Logo
Azure logo

Modus Operandi

How we engage, how we deliver!

We scan the data warehouse, generate a report on potential savings by merger, removal or adjustments of pipelines

DataAu sits in your EDW, suggesting the tables to be removed, one by one with surgical precision.

Once the Purge is done, the app goes into maintenance mode, alerting the governance team of any new duplicate tables

...but AI in my database?

It is ok to be worried about using AI in the database, and this is a valid question. However, we have put in safeguards to ensure the AI behaves the way it is supposed to!

DataAu does not have access to internet. For required information it asks the Data engineers. It is an on-premise llm.

DataAu cannot edit the tables directly. It can only create disposable tables for gold layer data but cannot write back to your database.

Everything is processed, stored and used within your environment. You can control what DataAu can see and what is hidden.

Only works on rolled up values from the tables. Do not have row level access to fetch PII data

Admin governed role base access control at a column level granularity. No more table level access for queries.

Supports on premise databases without any internet access, ensuring data security at all points.

Ready to save on cloud costs?

Stop wasting resources on unnecessary pipelines. Let DataAu repair your data warehouse with the precision of Kintsugi.

Talk to us

Phone

or send an email to

hello@dataau.co

Data  A U logo

© DataAu. All Rights reserved

Privacy policy | Terms of use