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On this page, you can find documentation about x-bees Snalytics which provides all the information you need to keep on top of your business. Created: May 2022 Permalink: https://confluence.wildix.com/x/BYL6Bg |
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x-bees statistics is an advanced yet easy-to-use analytics tool, which lets you monitor all the data you need to always stay on top of your business. With x-bees, you are not limited to a predefined set of data tables and charts. On the contrary, you set them up yourself choosing the data you are interested in and customizing tables and charts to your personal liking. This means x-bees statistics tool can perfectly address whatever need you may have.
Requirements
- WMS version 5.04 or higher
- Licenses ? - premium?
How to access
To access x-bees statistics, click on the Statistics button on left-hand part of the screen:
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On the Search tab, you can type in the search bar what information you want to explore and x-bees returns the search results in the form of a table or chart.
Data items (columns)
Search is based on the tables that exist in your data. Tables are made of rows and columns, like spreadsheets. You can search by typing in:
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- average duration
- callee
- caller
- connect time
- conversation id
- conversations
- direction (values: inbound, internal, outbound, trunk2trunk,------)
- domain
- duration
- flags
- hangup (values: callee, caller, callee)
- name
- role (values: agent, client)
- serial
- service ( - use this examplestatus (
- status (values: answered, unanswered)
- subject
- tags
- talk time
- time
- total duration
- type (values: call, conference)
- wait time
Hovering a mouse over any of these items, you can see a tooltip with the following info: name, description, data source (if applicable), and data type:
To view available values of a data item, click on the filter icon next to it:
A pop-up window shows up, where you can view all available values of the data item:
You can also choose values by which you want to filter data: tick off necessary values and click Apply and the selected values appear in the search field.
Start a new search
Click Search on the top navigation bar.
Start typing your search request, using necessary data items and keywords.
Alternatively, you can double-click on the preferred data items on the left-side panel and they are automatically added to the Search field. To add multiple items, click on the necessary items to select them and press + Add Columns:Note Note: Typing in your search query, you may notice that search items are of different colours:
- blue = attributes: primarily text or date values. Usually, attributes make up the x-axis of your chart. Examples: caller name, call status, etc.
- green = measures: numeric values, e.g. duration of a call
- grey = filters, e.g. outbound, inbound
3. Once your search query is ready, press Enter on keyboard, or click Go to the right of the search bar:
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The answer opens and besides viewing its details. Also, using the Explore this data panel on the right, you can modify the answer by applying additional filters, adding/ replacing columns, choose data for comparison:
Keyword reference
Keywords help to define a search.
General
Note |
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Note: When using the top or bottom keywords without specifying a number (n), the number defaults to |
Keyword | Description | ||||||
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top n | Generates the top n items from a sorted result. Example: caller callee direction status duration today top 5 | ||||||
top n measure1 by attribute|measure2 | Calculates top n items, then sorts the top items by another measure or attribute. Contrast with top n (swaps the order of operations). Example: top 10 caller by conversations this month | ||||||
bottom n | Generates the bottom n items from a sorted result. Example: bottom 10 caller by conversations this month | ||||||
sort by | Sorts the result set by an attribute or measure. Example: caller callee direction status duration today sort by duration | ||||||
by <measure> | Treats the measure as an attribute and groups the result set by it. Example: conversations by day |
Date
Keyword | Examples |
---|---|
after | conversations after 10/31/2022 |
before | conversations before 03/01/2022 |
between ... and ... | conversations between 01/30/2022 and 01/30/2022 |
day | conversations monday |
day of week | conversations by day of week last 3 months |
growth of … by ... | growth of conversations by time last month unanswered |
growth of … by … daily | growth of conversations by time daily last month unanswered |
growth of … by … monthly | growth of conversations by time monthly unanswered |
growth of … by … quarterly | growth of conversations by time quarterly unanswered |
growth of … by … weekly | growth of conversations by time weekly last month unanswered |
last day by | conversations last day by callee |
last month | conversations last month by callee |
last month by | conversations last month by day |
last n days | conversations last 7 days |
last n months | conversations last 10 months by day |
last n quarters | conversations last 2 quarters by month by service |
last n weeks | conversations last 10 weeks by day |
last quarter | conversations last quarter |
last week | conversations last week by service |
last year | conversations last year by callee |
month | conversations by month last year |
month | conversations January |
month to date | conversations month to date ?? |
month year | conversations by service February 2022 |
n days ago | conversations 2 days ago |
last n days for each month | conversations 2 days for each month |
last n days for each quarter | conversations last 15 days for each quarter |
last n days for each week | conversations last 2 days for each week |
last n days for each year | conversations last 300 days for each year |
last n hours for each day | conversations last 2 hours for each day |
n months | conversations last 6 months |
n months ago | conversations 2 months ago by service |
last n months for each quarter | conversations last 2 months for each quarter |
last n months for each year | conversations last 8 months for each year |
n quarters ago | conversations 4 quarters ago by service |
n weeks ago | conversations 4 weeks ago by callee |
last n weeks for each month | conversations last 3 weeks for each month |
last n weeks for each quarter | last 2 weeks for each quarter |
quarter to date | sales by product quarter to date for top 10 products by sales |
this day | conversations this day by callee |
this month | conversations this month by day |
this quarter | conversations this quarter by callee |
this week | conversations this week by service |
this year | conversations this year by callee |
today | conversations today by callee |
week | conversations by week last quarter |
week to date | sales by order date week to date for pro-ski200 |
year | revenue by product 2014 product name contains snowboard |
year to date | sales by product year to date |
yesterday | sales yesterday for pro-ski200 by store |
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Comparative
Keyword | Examples | ||
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all | conversations uk_support vs all
| ||
between... and... | revenue between 0 and 1000 | ||
= (equal) | unique count visitor by store purchased products = 3 for last 5 days | ||
everything | conversations uk_support vs everything
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> (greater than) | sum sale amount by visitor by product for last year sale amount > 2000 | ||
>= (greater than or equal) | count calls by employee lastname >= m | ||
< (less than) | unique count visitor by product by store for sale amount < 20 | ||
<= (less than or equal) | count shipments by city latitude <= 0 | ||
!= (not equal) | caller callee direction status duration today callee !={null} | ||
vs, versus | conversations uk_support vs us_support |
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In / Not in
Keyword | Description |
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in | Query in query search (intersection of two sets). Must match last attribute before keyword with first attribute inside subsearch. Syntax: attribute in (attribute subsearch) Examples: store name in (top 10 store name by sales footwear) product name 2014 product name in (product name 2013) sales |
not in | Relative complement of two sets. Must match last attribute before keyword with first attribute inside subsearch. Syntax: attribute not in (attribute subsearch) Example: product name 2014 product name not in (product name 2013) sales |
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