We all know it from our own experience: we live in the age of data.
Data enable a multitude of exciting business models, make everyday life easier for us and are the gateway to a world full of information and knowledge.
However, data can also be the cause of faults. Poor data quality or insufficient data integrity is the trigger for project difficulties and can cause additional effort. In the worst case, data inconsistencies can rock even large corporations in their very foundations.
We are convinced: Data-quality matters!
That is why we support you with great passion to make sure that you have your data under control - and not the other way around.
With the guiding principle "data quality matters" in mind (a slightly different look at this topic), we have developed "OMrun - Data-driven Robotics".
OMrun is a configurable framework and performs automated and rule-based in-memory checks of data from any heterogeneous system. The results of the data reconciliation are easy to use and give our customers advantages in the following areas:
By creating OMrun, we provide our customers with a powerful tool: A wide range of data challenges are now dealt with with high efficiency and a smile on your face. Combined with the problem-solving skills of the data and automation experts from OMIS, together we will solve every data challenge.
Challenge System landscapes in medium-sized and large organizations are becoming increasingly heterogeneous, the amount of data is skyrocketing and the complexity of the business processes is increasing.
At the same time, customers as well as internal roles(controlling, senior and risk management, release management etc.) want to be informed promptly, transparently and comprehensively about various data-related topics. The following are some of the questions that should be answered at any time::
Solution Performing a data integrity monitoring with OMrun is implementing a network of measurement points and measurement sections in order to monitor all relevant data flows in your organization. We call it the "OMrun Data Integrity Spider Web".
Thanks to the data integrity monitoring, you always have full transparency and security when it comes to data flows in your organization. You no longer have blind spots and are able to act and make decisions at any time. And if one day data processing should not work properly, you will find out prior to your customer can notice it thanks to the established early warning system and alerting.
Practical application / reference case The ZLPro project for AZL Zurich is a prime example of operational data integrity monitoring (learn more).
Challenge Modernize applications that have grown over years or even decades with underlying databases - a long-running favorite on the to-do list of large organizations.
The legacy of databases and applications represents great value and is the key to economic supremacy. But the ravages of time are gnawing, and like a building, aging IT systems need renovation, core removal or even a replacement.
The desire for a migration is latent, but many organizations delay the implementation of such a project. Some reasons for this behavior are:
However, only in very few cases delaying a migration is the right decision. Because the challenges for a system changeover will not diminish over time. It is all the better that OMIS has developed tools and processes and has already implemented them several times so that migrations and transformations can become projects with a "silent go-live".
Solution To execute data migrations, OMIS has developed a revolutionary procedure: The fully automated 1:1 in‑memory migration combined with a configurative data transformation - without having to program the migration. The advantages of this method are a shorter project duration, lower costs, easier communication with the business units and transparency at all times regarding project progress and data quality.
Practical application / reference case The extensive migration project at maxon is a beacon project for migration with prior data cleansing and data integrity checks (learn more).
Challenge Repetitive yet demanding data entry or data processing routine work is one of the biggest "time wasters" in large organizations. Such work ties up the capacities of valuable employees who, due to the high workload, no longer manage to perform value-enhancing, customer-oriented tasks. Negative consequences of these conditions include:
Solution The buzzword RPA (Robotic Process Automation) is on everyone's lips and there are already many very good solutions on the market. To meet the increasing demand for RPA implementations, OMIS has put together a very lean and quickly integrated automation package. As a bonus for pure process automation, the integration of OMrun also creates end-to-end quality assurance.
"Automated, but secure" is the motto!
This approach is particularly valuable if a legacy system is to be connected to a more modern system or to a purchased standard product without making adjustments to the old system. It can also happen that the development of the required interfaces by the manufacturer of the standard software is implemented very slowly - which can cause market disadvantages. To speed up the time-to-market, RPA is implemented as a temporary workaround until the official interface is ready.
Practical application / reference case Process automation at the tax office of the city of Zurich and at Sympany exemplify how quickly a stable and low-maintenance application can bring a positive ROI (references can be provided on request).