DATA & BI

BI tool integration: prepare once, feed the tools you already use

BI tool integration with TIMi uses Anatella to prepare data once and deliver it to the tools your teams already use: Tableau Hyper files, Qlik QVX files, Kibella or any database.


Your tools stay

Keep the BI tools your teams already know.


Automated updates

Files and databases are created or refreshed by the flow.


Any database

ODBC and OLEDB connectors for relational databases.

HOW IT WORKS


How BI tool integration works.

Three steps, in one engine, on a standard server with no cluster.


1. Prepare the data

Anatella gathers, joins and aggregates data from your sources into the tables a BI tool needs.


2. Write to the target

Dedicated actions create Tableau Hyper files, Qlik QVX files or Kibella data, or write to a database.


3. Publish and refresh

A Tableau file can be published to a Tableau server, and the flow can be scheduled to refresh every target.

Data prep / ETL
Anatella
Data prepared once
Export
Tableau, Qlik, Kibella, database
BI tool
Dashboards for your teams
Illustration: the three steps, in one engine.

GETTING IT RIGHT


Choices that shape a BI integration.

Centralize the preparation, and let each BI tool do what it does best.

One preparation, many tools

Computing the figures once in Anatella gives every tool the same numbers, instead of each tool recalculating them.

Choose the refresh rhythm

Daily, hourly or incremental depends on the data volumes and on how fresh the figures must be.

Check your versions

Connector availability depends on the version of each BI tool. Confirm the target versions during scoping.

TRANSPARENCY


One definition per figure.

When all BI tools are fed by the same flow, a number means the same thing everywhere, and the flow documents how it was computed.


For consistency

The same figure in every tool.


For analysts

Trace a number back to the flow that produced it.


For IT

One scheduled flow instead of several extractions.

DATA


What can be delivered to BI tools.

Anatella connects to more than 80 sources, so this data can be gathered without prior custom development.


KPIs and aggregates

Indicators computed from detailed data.


Model scores

Predictions computed with Modeler models.


Segments

Customer segments created with Stardust.


Detailed tables

Prepared datasets for exploration.

PROOF


Feeding BI at scale.

We do not have a published case study dedicated to BI tool integration. The reference below is indirect: it shows the data volumes Anatella prepares upstream of any BI tool.

Snype | Data processing

150 billion transactions per month, on one server

Not a BI integration case. It shows the volume Anatella processes upstream, on a single standard server.

FAQ


Common questions.

Which BI tools can Anatella feed?

Tableau through Hyper files, Qlik through QVX files, Kibella, and any relational database through ODBC and OLEDB. Power BI appears as an output in our platform overview, and the exact connector should be confirmed for your version.

Do we need to replace our BI tool?

No. Anatella works alongside your existing tools. Kibella is available if you want a native option.

Can the refresh be automatic?

Yes. The flow can be scheduled, and Tableau files can be published to a Tableau server.

Can scores from predictive models be included?

Yes. Anatella applies Modeler models to your data and the scores can be exported like any other column.

RELATED USE CASES


Keep exploring.


Dashboarding

Publish KPI dashboards on the web, fed by the same engine as your models.

Read more

Data Warehousing

Centralize analytical data with fast columnar storage on standard hardware.

Read more

Automated Reporting

Refresh recurring reports and Office charts automatically from your data.

Read more

SEE FOR YOURSELF


Test it on your own data.

Run TIMi on your own data with a free trial, or talk to us about your case.

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