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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

Icon Speechbubble Numbers Illustration.png

- 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:

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

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:

Azure-service-bus
Azure-service-bus
MySQL
MySQL
DBpedia
DBpedia
Elasticsearch
Elasticsearch
Google Cloud Platform
Google Cloud Platform
Qlik
Qlik
Microsoft Azure
Microsoft Azure

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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