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Twitter

Microblogging and social networking service on which users post and interact with messages known as "tweets".

Getting the very best out of Twitter

Twitter was crafted to create maximum business value.

And yet, it didn't!

The value of Twitter was reliant on the customer's capability to synchronise location-data.

Location

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

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

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

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

Now Twitter gets updated quality data

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- without any integration or development

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

The Twitter customer can now easily synchronise location-data with any of these Sesam connected systems:

Wave Financial
Wave Financial
AVEVA
AVEVA
Smallworld
Smallworld
Maximo
Maximo
HubSpot
HubSpot
SAP
SAP
Infor M3
Infor M3
Winorg
Winorg
ArcGIS
ArcGIS
Freshdesk
Freshdesk
Geonis
Geonis
Unit4
Unit4
IFS
IFS

And talk is good for business

With Sesam in the solution, Twitter got the updated quality data it needed to deliver the business value promised – and even gave them the flexibility to develop Twitter 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 Excel
Microsoft Excel
Microsoft Azure
Microsoft Azure
Google Cloud Platform
Google Cloud Platform
Azure-service-bus
Azure-service-bus
DBpedia
DBpedia
Elasticsearch
Elasticsearch
Microsoft Dataverse
Microsoft Dataverse
Qlik
Qlik
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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