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Google BigQuery

A fully managed enterprise data warehouse that enables analysis over petabytes of data, includes features as geopatial analysis, machine learning and business intelligence/OLAP.

Getting the very best out of Google BigQuery

Google BigQuery was crafted to create maximum business value.

And yet, it didn't!

The value of Google BigQuery was reliant on the customer's capability to synchronise agreement-, asset-, documentation-, event-, human-, organisation- and task-data.

Agreement
Task
Asset
Documentation
Event
Organisation
Person

And since most customers struggle with system integration, Google BigQuery was forced to operate on less-than-optimal data.

Without high quality master data it is impossible for Google BigQuery to deliver maximum business value.

The Google BigQuery customer wasn't happy. They probably blamed Google BigQuery, even if there wasn't much Google BigQuery could do about it.

The Google BigQuery customer just couldn't make those systems talk.

Now Google BigQuery gets updated quality data

Icon Speechbubble Numbers Illustration.png

- without any integration or development

You see, by embedding Sesam into an Google BigQuery solution, Google BigQuery get free flow of data – no matter the system, no matter age nor language.

The Google BigQuery customer can now easily synchronise agreement-, asset-, documentation-, event-, human-, organisation- and task-data with any of these Sesam connected systems:

Ardoq
Ardoq
Synergi-life
Synergi-life
Omega 365
Omega 365
HubSpot
HubSpot
Geonis
Geonis
AVEVA
AVEVA
Winorg
Winorg
Rotorsoft
Rotorsoft
Stripe
Stripe
ArcGIS
ArcGIS
Freshdesk
Freshdesk
Auth0
Auth0
YouTrack
YouTrack
Unit4
Unit4
Bazefield
Bazefield
360°
360°
Active Directory
Active Directory
Zendesk
Zendesk
SAP
SAP
IFS
IFS
Smallworld
Smallworld
Jira
Jira
Zoho
Zoho
Microsoft Dynamics 365
Microsoft Dynamics 365
Salesforce
Salesforce
Survey Monkey
Survey Monkey
Motimate
Motimate
Wave Financial
Wave Financial
Infor M3
Infor M3

And talk is good for business

With Sesam in the solution, Google BigQuery got the updated quality data it needed to deliver the business value promised – and even gave them the flexibility to develop Google BigQuery and its value to the customer further.

Happy customer, less dependencies, and in addition, great connectivity to to a set of data and analytic services:

Azure-service-bus
Azure-service-bus
Microsoft Dataverse
Microsoft Dataverse
Microsoft Synapse
Microsoft Synapse
Elasticsearch
Elasticsearch
Brreg
Brreg
Apache Druid
Apache Druid
Google Cloud Platform
Google Cloud Platform
DBpedia
DBpedia
Firebase
Firebase
Qlik
Qlik
PostgreSQL
PostgreSQL
Microsoft Power BI
Microsoft Power BI
Microsoft Azure
Microsoft Azure
Apache Solr
Apache Solr
Microsoft Excel
Microsoft Excel
MySQL
MySQL

So, while talk admittedly can be difficult, system talk is quite easy. 

 

All you need is Sesam.

Making those systems talk

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