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Elasticsearch

Elasticsearch is a search engine based on the Lucene library. It provides a distributed, multitenant-capable full-text search engine with an HTTP web interface and schema-free JSON documents.

Getting the very best out of Elasticsearch

Elasticsearch was crafted to create maximum business value.

And yet, it didn't!

The value of Elasticsearch was reliant on the customer's capability to synchronise accounting-, agreement-, asset-, classification-, documentation-, event-, human-, location-, organisation-, product- and task-data.

Agreement
Product
Asset
Task
Documentation
Location
Organisation
Person

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

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

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

The Elasticsearch customer just couldn't make those systems talk.

Now Elasticsearch gets updated quality data

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- without any integration or development

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

The Elasticsearch customer can now easily synchronise accounting-, agreement-, asset-, classification-, documentation-, event-, human-, location-, organisation-, product- and task-data with any of these Sesam connected systems:

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

And talk is good for business

With Sesam in the solution, Elasticsearch got the updated quality data it needed to deliver the business value promised – and even gave them the flexibility to develop Elasticsearch 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:

Microsoft Synapse
Microsoft Synapse
Microsoft Excel
Microsoft Excel
MySQL
MySQL
Brreg
Brreg
Firebase
Firebase
Microsoft Azure
Microsoft Azure
PostgreSQL
PostgreSQL
Google Cloud Platform
Google Cloud Platform
Azure-service-bus
Azure-service-bus
Apache Solr
Apache Solr
DBpedia
DBpedia
Google BigQuery
Google BigQuery
Twitter
Twitter
Microsoft Dataverse
Microsoft Dataverse
Qlik
Qlik

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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