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NextLytics
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Shaping Business Intelligence

Whether clever add-on products for SAP BI, development of meaningful dashboards or implementation of AI-based applications - we shape the future of Business Intelligence together with you. 

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About us

As a partner with deep process know-how, knowledge of the latest SAP technologies as well as high social competence and many years of project experience, we shape the future of Business Intelligence in your company too.

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Our Methodology

The mixture of classic waterfall model and agile methodology guarantees our projects a high level of efficiency and satisfaction on both sides. Learn more about our project approach.

Products
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NextTables

Edit data in SAP BW out of the box: NextTables makes editing tables easier, faster and more intuitive, whether you use SAP BW on HANA, SAP S/4HANA or SAP BW 4/HANA.

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NextLytics Connectors

The increasing automation of processes requires the connectivity of IT systems. NextLytics Connectors allow you to connect your SAP ecosystem with various open-source technologies.

IT-Services
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Data Science & Engineering

Ready for the future? As a strong partner, we will support you in the design, implementation and optimization of your AI application.

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SAP Planning

We design new planning applications using SAP BPC Embedded, IP or SAC Planning which create added value for your company.

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Dashboarding

We help you with our expertise to create meaningful dashboards based on Tableau, Power BI, SAP Analytics Cloud or SAP Lumira. 

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SAP Data Warehouse

Are you planning a migration to SAP HANA? We show you the challenges and which advantages a migration provides.

Business Analytics
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Procurement Analytics

Transparent and valid figures are important, especially in companies with a decentralized structure. SAP Procurement Analytics allows you to evaluate SAP ERP data in SAP BI.

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SAP HR Reporting & Analytics

With our standard model for reporting from SAP HCM with SAP BW, you accelerate business activities and make data from various systems available centrally and validly.

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Data Quality Management

In times of Big Data and IoT, maintaining high data quality is of the utmost importance. With our Data Quality Management (DQM) solution, you always keep the overview.

Career
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Working at NextLytics

If you would like to work with pleasure and don't want to miss out on your professional and personal development, we are the right choice for you!

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Senior

Time for a change? Take your next professional step and work with us to shape innovation and growth in an exciting business environment!

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Junior

Enough of grey theory - time to get to know the colourful reality! Start your working life with us and enjoy your work with interesting projects.

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Students

You don't just want to study theory, but also want to experience it in practice? Check out theory and practice with us and experience where the differences are made.

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Jobs

You can find all open vacancies here. Look around and submit your application - we look forward to it! If there is no matching position, please send us your unsolicited application.

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DATA Quality Management (DQM) with SAP BW

The Challenge: efficient & central Data Quality Management

New IT innovations such as the Internet of Things (IoT) or the mobile Internet increase the data volume at an enormously fast pace and also confront your company with very great challenges in terms of securing your data quality. 

 

Data Quality Management

 

Conventional DQM

In times of big data, more than half of all companies consider the quality of their data to be critical for business decisions. Poor data quality leads to lower employee and customer satisfaction, but also to higher costs: manual quality assurance is about five to ten times more expensive than an automated variant.

Contract

 

It is difficult to measure and track success in a data quality offensive. Moreover, the result of a repetition is not always the same and the quality of the validation strongly depends on the user. IT must first create its own validation options. This creates further validation islands. Data entry checks take place in dialog, but in practice there are always cases where data has not been entered during validation, either through interfaces or alternative input options.

The Solution: Data Quality Management by NextLytics on the basis of SAP Business Warehouse (SAP BW/4HANA)

With our solution, you can track and evaluate errors at a central point, view them over time and show each participant their data. You can quickly and easily create rules and also access a large pool of predefined rules - without programming knowledge.

workflow

 

With our DQM solution...

 

 

... you always keep the overview

... pave the way to consistent data

... you can keep track of errors once they have been detected

... you can make better decisions based on correct data

... eliminate errors and reduce costs

The sentence "You can't improve without measuring" also applies to your data quality. With our solution, however, you can automatically record defects, compare them with the last analysis result and thus determine which defects are new and which were already present. This is the only way to improve your data sustainably and continuously.

Data Quality Management

Key Design Driver
  • Simple extension of rules for business & IT near realtime
  • Show errors as soon as they happen
  • Multi user groups, Multi scenario

Key Features
  • One Data Quality Rules Framework for multiple systems
  • Dashboard & Report & Drill Through
  • Comment function with "is not an error at all“ mark

Key Areas for Use
  • HR Process Health: PT errors from clusters, OM/PA inconsistencies, employee master data, OM checks, payroll relevant errors, comparison of payroll postings with SAP FI
  • System Health (BW): loading errors, system dumps, etc. Other process areas such as SAP FI/CO, SD, Procurement, etc.
key

 

SAP Business Rules Framework (SAP BRFPlus) and SAP Hana Rules Framework (SAP HRF)

Our DQM solution can be based on both SAP BRFPlus and SAP HRF. Alternatively, the rules can also be made directly from IT in ABAP. Both frameworks can be used to create complex sets of rules that make the rules transparent and readable. Simple logics such as "if then else" can be applied within the set of rules. Dashboard conversion is usually done using the SAP Lumira Designer.

 

Daily Process with Data Quality Management

Data Quality Manangement Process

 

Your Advantages

  • You can easily create rules for several source systems (existing in the SAP Business Warehouse) in a central location
  • Errors can only be relevant for reporting, since only one key figure formed in reporting is falsified, but it does not in itself pose a problem in the previous system.
  • You can track errors and measure your success in troubleshooting.
  • How many bugs have been fixed, how many new bugs have been added or still exist? These questions are processed in the error statistics in a dashboard.
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