15 years of hands-on experience with Precisely Automate Studio, the SAP side of a Data360 Analyze migration.
Data360 Analyze is Precisely’s self-service data preparation and ETL tool. Users build data flows on a visual canvas in the browser: they connect sources, transform and validate the data, and publish the result to files, databases, BI tools or other systems.
It shows missing and outlying values and anomalies in the data logic early, and speeds up the discovery, validation, transformation and blending of data from across the organisation. Every step can be inspected and traced, so you see what happened to the data at each node. Shared data flows become trusted, reusable models in team workspaces, and run on a schedule, on a trigger or through the server REST API.
For SAP data migration it works best together with Automate Studio: Studio extracts the data from SAP and loads it back, Data360 Analyze cleanses, transforms and validates it in between.
Moving data into or out of SAP? Combine it with Automate Studio.
Profile, cleanse, map and validate legacy data before every test and final load, and reconcile the result afterwards.
Turn monthly spreadsheet work into a data flow that runs the same way every time.
Find duplicates, gaps and outliers, and check data against your business rules.
Combine, reconcile and restructure data from files, databases and APIs, and deliver it in the format the target system expects.
Build logic on a canvas, not in code.
See the data at every step.
Turn raw data into a consistent dataset.
Read and write where your data lives.
From one-off analysis to a running process.
Business and IT on the same flows.
We follow the same seven steps Precisely uses for SAP S/4HANA migration. Automate Studio handles the SAP ends, extraction and loading; Data360 Analyze does the data work in between. The same flows run again for every test load and for the final cut-over.
People, process, data scoping, source systems and the target blueprint.
Build the connections, extract the data from SAP and other sources, and consolidate it.
Analyse the data, check completeness and validate it with rules.
Normalise, standardise and deduplicate, and verify with external sources.
Add missing data from additional internal or external sources.
Map the data to the target data model and transform it, including SAP-specific values and defaults.
Approve, validate and load the data into SAP.
In our portfolio, this is the best combination for SAP data migration. Automate Studio brings the SAP connection on both ends, extraction and loading. Data360 Analyze brings the data quality and transformation work in between.
We combine Automate Studio, which we have delivered since 2016, with our ETL experience to plan and run your data migration.
We extract, cleanse, transform and load data between SAP and other systems, and reconcile the result.
Clean, validated migration data is one of the foundations of a successful move to SAP S/4HANA.
Training and mentoring, so your own team can build, run and extend the data flows.
Yes. It extracts, transforms and loads data, and adds self-service data preparation, profiling and validation on a visual canvas, so business users can build and run the flows too.
No. Data360 Analyze is installed in your own environment, as a desktop or a server product. For data integration as SaaS, Precisely offers the Data Integrity Suite.
In our portfolio, the best combination for SAP data migration is Automate Studio with Data360 Analyze. Automate Studio extracts the data from SAP and loads it back through SAP transactions and BAPIs; Data360 Analyze profiles, cleanses, enriches, maps and transforms it in between.
No. Data flows are built from pre-built nodes on a visual canvas, and business rules are built by working directly on the data. A Python 3 node is available for custom logic when needed.
Tell us which SAP process or product you are looking at. One of our consultants will get back to you.
Prefer to write directly?
info@novacon.hu