Planning & data collect directly in your analytics solution

Store

K4 Analytics Starter

This is some text inside of a div block.

Minutes

The missing piece of the puzzle for your analytics platform

Everything at a glance

Topic

Planning supplement with K4 Analytics

Format

Workshop

Duration

Price

from € 2,500

Get the best out of your data! Are you well positioned in the analytics area with Power BI, Qlik or Tableau, but are you slowly reaching the limits of Excel for planning? But you don't have the time or budget for another major software implementation?

There is a simple solution for this. Simply integrate the planning functions into your analytics tool. Find out how this works in our K4 Starter Workshop!

Your initial situation:

You already use an analytics solution such as Power BI, Qlik, Tableau or have MS Teams in use.
Your planning is still done in Excel and Excel is reaching its limits.
Collecting data and changing parameters for their analyses, such as new purchase prices, cost rates, etc., is time-consuming.

What you get:

Planning & Data Collect directly in Power BI, Qlik, Tableau and MS Teams.
Ability to seamlessly plan, report and analyze.
Simplicity and transparency through the use of familiar relational database technology.
Our expertise from over 20 years of experience with innovative data architectures.

Contents of the workshop:

Joint identification and specification of a suitable use case (data collect or planning topic).
Implementation on celver infrastructure with customer data provided (only data provision, no further installation/infrastructure work required by the customer). Installation / infrastructure expenses required by the customer).
Presentation of results.
Guided testing with access to the celver infrastructure (PowerBI & K4 or Qlik & K4 optionally with MS Teams integration) for a selected number of users on the customer side.

Your advantages with K4:

K4 Analytics integrates fully into your existing system landscape.
Your data is written back directly via the common relational databases.
The user interface is created and customized using Excel templates (e.g. also company templates).