Data Quality: Data are the ground you stand on – do you have everything under control?
Have you ever thought about what poor data quality really costs you? We can tell you as much as this: way more than our tool! Your decisions are based on KPIs. But how can you know they are correct? Do you verify the quality of your data BEFORE you analyze them? High data quality is the basis. Don’t leave your decisions to chance. With InfoZoom you create reliable analyses.
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Data Quality Management with InfoZoom: Finally understand the complete data basis at one glance
Data are the basis for analyses and processes and therefore also for the company’s success. Poor data quality leads to disturbances in the workflow and to serious consequences. Enough with that! Discover InfoZoom now.
Ensure transparency:
What’s in your data?
No other tool makes it easier to interpret your data at a glance. Everyone can immediately see which data are relevant and what needs to be done. InfoZoom is the easy way to continuously manage your data quality at low cost.
Filter and select your data intuitively
With just a few clicks, you can create any desired selection immediately, without any IT skills.
Easy combination of data sources
You can easily combine different data sources with each other to compare them. This gives you a comprehensive overview of your data basis!
No more cryptic characters at last –
data quality becomes palpable
Duplicates, format errors, special characters, data gaps… Identify critical data constellations at a glance!
Clean your data & prepare your analyses
Harmonization, plausibility check, correction: validate your data in next to no time to prepare them for analysis.
Improve data quality continuously based on rules
Create a demand-based set of rules that will allow you to automatically detect errors. The loop allows you to monitor and improve your data continuously and automatically.
Agile data quality management – InfoZoom supports ERP, CRM and BI solutions
The software is used as an add-on to many ERP, CRM and BI solutions to validate and improve the data basis for analysis.
Data Profiling – A picture is worth a thousand words: What’s in your data?
Look and see: clarity and transparency at last. Users get a whole new perspective on their data. There is no other tool that facilitates interpreting and modeling data like InfoZoom does. New constellations between data can be revealed with just a few clicks.
Ad-hoc analyses
with InfoZoom –
always ahead of time
In day-to-day business, there are often spontaneous questions for which you want to create an evaluation immediately. How to get those figures quickly? InfoZoom allows you to create any evaluation with just a few clicks and helps you find weak points in almost no time.
Efficient Data Migration –
Clean Data are the Recipe for Success
A star cook cannot perform miracles if the quality of the components is bad. This example can easily be transferred to your data migration: No matter how good you plan your migration, if the data to be migrated are bad, the complete project comes with a dull aftertaste.
InfoZoom Data Quality –
your way to sustainable
clean data
Data quality is a continuous process. It is not sufficient to clean the data just once. With IZDQ, you can monitor the quality of your data continuously and automatically. This function is based on a highly flexible and demand-oriented set of rules that automatically detects errors.
What can we do for you?
Consulting – let’s investigate your data together.
What can we do for you?
Consulting – let’s investigate your data together.
You want to get an impression of your data basis? You’re about to launch a DQ project? There’s a bit of a problem somewhere? Practice makes perfect – our experienced consulting team will be happy to support you in any phase of your data project.
Name and Adress Normalization using InfoZoom
SoftLake Solutions specializes in Data Analysis using InfoZoom. They provide consulting solutions for InfoZoom for small to large sized companies throughout North America.
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How good are your data?
You receive a report listing the data quality aspects of the data you provided as well as suggestions on how to improve the quality of your data.
