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Before you can use the Power BI concern templates for CQD (PBIX files), you’ll charge to install the Power BI Adapter for Microsoft CQD, application the MicrosoftCallQuality.pqx book included in the download.



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Read Use Power BI to assay CQD abstracts for Teams to apprentice about these templates.



The action for installing a custom adapter and adjusting aegis to accredit use of the adapter is declared in detail in the Power BI documentation. For the account of simplicity, here’s a quick explanation:

Check to see if your computer already has a [Documents]Power BI DesktopCustom Connectors folder. If not, actualize this folder.1



Download the adapter book (either a *.mez or *.pqx file) and abode it in the Custom Connectors directory.

If the adapter book is a *.mez file, you will additionally charge to acclimatize your aegis settings as declared in the custom adapter bureaucracy documentation.

If a new adaptation of this Power BI Adapter for Microsoft Teams is released, artlessly alter the old adapter book in the Custom Connectors agenda with the new file.

In adjustment to body a address and run queries, you will aboriginal charge to affix to the CQD abstracts source. Follow the accomplish beneath in adjustment to connect:

In the Home tab of Power BI Desktop, bang on Get Data.

The Get Abstracts window should arise at this point. Navigate to Online Services, again baddest Microsoft Call Quality (Beta) and hit Connect.

You will be prompted to login next. Use the aforementioned accreditation that you use for CQD.2

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The abutting alert will accord you the advantage amid two Abstracts Connectivity modes. Baddest DirectQuery and hit OK.

Finally, you will be accustomed a final alert assuming you the absolute abstracts archetypal for CQD. No abstracts will be arresting at this point, alone the abstracts archetypal for CQD. Baddest Amount to complete the bureaucracy process.

At this point, Power BI will amount the abstracts archetypal assimilate the adapted ancillary of the window. The folio will abide contrarily blank, and no queries will be loaded by default. Proceed to Architecture Queries beneath in adjustment to body a concern and acknowledgment data.

If any of the accomplish during this bureaucracy action were not absolutely clear, a added abundant account of the action can be begin here.

Once bureaucracy is complete, you should see the names of several hundred ambit and measures amount in the Fields pane. Constructing absolute queries from actuality is simple, aloof baddest the ambit and measures you appetite for your query, again annoyance and bead them assimilate the page. Here’s a added abundant explanation, with a simple example:

Select the decision you appetite to use from the Visualizations pane. A bare adaptation of that decision should arise on the page. For the purposes of this example, we will be application the Table visualization.

Determine which ambit and measures (denoted by an accession attribute by their name) you ambition to use for your query, again manually baddest them and annoyance them assimilate the atramentous visualization. Alternately, annoyance them assimilate the Ethics acreage beneath the decision options.

Important Note: Call Quality Dashboard requires a admeasurement for any concern to run. Failure to add a admeasurement to a concern will account that concern to fail.

Next, baddest any ambit you appetite to clarify on and annoyance them to the Filters on this beheld acreage in the Filters pane. The CQD Power BI Adapter currently supports Basic clarification (select ethics from a account of accessible ambit values), Advanced clarification (manually specify ethics and operands to clarify on, agnate to Advanced CQD), and About date clarification (only accessible for the End Time and Start Time dimensions). Clarification according to Top N is not accurate by CQD.

Finally, baddest the Architecture tab aural the Visualizations area to appearance and architecture your query.

Note: CQD queries crave at atomic one admeasurement in adjustment to run. If your concern does not load, bifold analysis that you accept included a admeasurement in the query.

Drillthrough in Power BI allows you to actualize focused letters that you can bound clarify application the ethics of added letters as context. Once you apperceive how to actualize your aboriginal concern with the CQD Connector, creating a drillthrough is alike simpler.

Create addition folio for the focused report, and again add your queries to that page.

Select the ambit you appetite to use as a drillthrough clarify and annoyance them assimilate the Drillthrough acreage beneath on the Visualizations pane.

That’s it! Any added concern on addition folio that uses that ambit can now drillthrough to that page, automatically applying the drillthrough dimension’s amount as a filter.

Unlike Advanced CQD, Power BI supports non-sequential drillthrough. So continued as a concern includes the all-important dimension, it can drillthrough to any added page.

Despite authoritative use of Power BI, not all Power BI functionality is abutment by the CQD Connector, either as a aftereffect of limitations on CQD abstracts archetypal or on DirectQuery connectors in general. The account beneath addendum some of the Connector’s added noteworthy limitations, but this account should not be advised exhaustive:

Calculated Columns – DirectQuery connectors in accepted accept bound abutment for affected columns in Power BI. While some affected columns may assignment with the Connector, these should be advised exceptions. As a accepted rule, affected columns will not function.

Aggregations – The CQD abstracts archetypal is congenital on a cube model, acceptation that aggregations are already accurate in the anatomy of measures. Attempting to manually add aggregations to altered ambit or alteration the accession blazon of a admeasurement will not assignment with the Connector, and it will about aftereffect in an error.

Custom Visuals – While the CQD Adapter does assignment with a ambit of custom visuals, we are clumsy to agreement affinity with all custom visuals. Many custom visuals await on the use of affected columns or alien data, neither or which are accurate by DirectQuery connectors.

Referencing Buried Abstracts – Power BI currently does not abutment referencing buried abstracts from a DirectQuery adapter in any way. Any attack to advertence the after-effects of a concern will aftereffect in a new query.

Relative Abstracts Clarification – Is accurate in the CQD Connector, but alone with the Start Time and End Time dimensions. Although the Date ambit may be the accessible best for about date filtering, Date is not stored as a date time article and appropriately does not abutment about date clarification in Power BI.

Please note, although the Adapter is in preview, these limitations are absurd to change with the final absolution of the Connector. Best of these issues are either restrictions to DirectQuery adapter architecture in Power BI or axiological to the architecture of the CQD abstracts model.

Because the CQD Power BI Adapter is beneath belted than the browser app in agreement of kinds of queries you can construct, you may occasionally appointment a cardinal of errors while architecture your queries. In the accident that you accept an absurdity bulletin of the blazon “CQDError. RunQuery – Concern Execution Error”, advertence the account beneath with the ErrorType cardinal provided in adjustment to troubleshoot the accessible affair with the query. The afterward are the best accepted Absurdity Blazon codes you may appointment with the CQD Power BI Connector:

ErrorType 1 – Concern Anatomy Error: A concern anatomy absurdity is about acquired by the Adapter declining to body a appropriately formatted query. This happens best generally back application bottomless functionality, as defined in the Limitations above. Bifold analysis that you are not application any affected columns or custom visuals for that query.

ErrorType 2 – Concern Architecture Error: A concern architecture absurdity is acquired by the CQD Adapter actuality clumsy to appropriately anatomize the concern you are attempting to build. This happens best generally back application bottomless functionality, as defined in the Limitations above. Bifold analysis that you are not application any affected columns or custom visuals for that query.

ErrorType 5 – Execution Timeout: The concern has accomplished the best accessible runtime afore timing out. Try abacus added filters to the concern in adjustment to absolute its scope. Narrowing the abstracts ambit is generally the best able way to accomplish this.

ErrorType 7 – No Measurements Error: CQD queries crave a admeasurement in adjustment to function. Bifold analysis that your concern includes measure. Measures in the CQD Adapter are denoted by the accession (sum) attribute afore their name.

If you appointment any added errors alfresco of this scope, amuse acquaint the CQD aggregation so that we can advice troubleshoot the affair and amend the affidavit as appropriate.

1 Certain processes and apps (e.g. OneDrive) may account your Documents basis binder to change; accomplish abiding that the Power BI DesktopCustom Connectors agenda is placed central of the accepted basis binder Documents folder.

2 The login accreditation you use for CQD do not charge to be the aforementioned accreditation you use for logging into the Power BI Desktop app itself.

Use Power BI to assay CQD abstracts for Teams

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