 The SAP Metadata Connector for Alteryx Connect extracts metadata from SAP and loads it into Alteryx Connect. The SAP Connector for Alteryx Connect works with:
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 If you want to extract data from SAP BW, SAP Business Suite applications (including SAP ECC, SAP CRM, SAP SCM etc.) or SAP BusinessObjects directly into Tableau, you should take a look at the DVW Tableau Connector for SAP.
Blending Salesforce.com data with SAP data using Alteryx and the Alteryx Connector for SAP13/2/2017  In this blog we will show you how you can seamlessly blend data from Salesforce.com (SFDC) with data from SAP using Alteryx and the Alteryx Connector for SAP (ACS).
Analyse your SAP data in Salesforce Wave Analytics with Alteryx and the Alteryx Connector for SAP12/2/2017  If you are using Salesforce Wave Analytics to analyse your CRM data you may find it useful to blend that with your back office SAP ECC data. Take a look at our short demo showing how easy it is to pull data from SAP using the Alteryx Connector for SAP before loading it into Salesforce Wave Analytics with Alteryx.
 Running SAP ECC for your back office but Salesforce.com for your CRM? Take a look at our short demo showing how easy it is to pull data from SAP using the Alteryx Connector for SAP before loading it into Salesforce.com with Alteryx.
 If you are pulling your SAP data directly into Qlik you could be missing a trick. Check out our short demo of SAP data being used with the Predictive Analytics capabilities of Alteryx before visualising the data in Qlik.
 Is your company running on SAP? If yes, how much time do you spend preparing and cleansing data from it? Business users need fast and easy access to business critical data to make reasonable predictions and decisions. As an analyst, you want to easily blend data from SAP with other datasets to provide a broader context for analysis.
Want to use SAP data in Alteryx but are unfamiliar with SAP? Don't worry - help is at hand!24/10/2016 
While some of our Alteryx Connector for SAP users are SAP experts, many have limited knowledge of SAP and just want to access the data they need to do their jobs.
So, if you want to use SAP data in your Alteryx workflows but don't know your VBAK's from your BSEG's don't worry, we can help.  Check out this video in which, Daneel De Villiers of DVW, shows you how easy it is for Alteryx and Tableau users to utilize SAP data with the Alteryx Connector for SAP.
 Check out our "blink or you miss it" cameo in Stuart Murray of SABMiller's presentation at Alteryx Inspire Europe 2016. Self-promotion aside, the SABMiller journey to self-service data analytics underpinned by Alteryx is well worth listening to.
Smiles all around from members of the DVW team and Alteryx's Dean Stoecker
Look at those happy faces. They pretty much sum up Alteryx Inspire Europe 2016 for us. With close to one hundred meaningful conversations, twenty or so demos and our pockets full of leads, we left the conference exhausted but happy.
 We’ve just released a new update to the Alteryx Connector for SAP and there are a number of new features that we think may be of interest to you.
 A recent LinkedIn posting, “Alteryx Here Alteryx There Alteryx Everywhere on Azure” by, Håkan Söderbom kicked off a flurry of activity at DVW Analytics.
The question: Can Alteryx customers install the Alteryx Connector for SAP (“ACS”) on Microsoft Azure and still successfully extract data from SAP?  Alteryx have secured a great line up of speakers for this year's Alteryx Inspire Europe (London 13-14 September 2016) including one of our favourites: Stuart Murray. Global Enterprise Information Architect at SABMiller Plc.
 Since the launch of our new Alteryx Connector for SAP the response from customers has been unbelievable.
DVW is a Gold Sponsor of Alteryx Inspire Europe 2016, which is being held in London, UK on 13 to 14 September 2016.
 Alteryx is one of the fastest growing data blending and advanced analytics companies in the world. Data analysts love Alteryx products because they can carry out their own data blending, analytics and reporting without a dependency on data scientists and IT staff.
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