Demo: Information Steward Accelerator (ISA) for Data Quality

The demonstration will focus on Syniti's SAP Solution Extension – SAP Advanced Data Migration for SAP Central Finance. See how to complete and maintain your SAP Central Finance program, allowing you to centralize your financial data and post to the supporting financial source systems. Using Syniti’s proven solutions and agile methodology will result in a simple, auditable and reusable workflow to enhance collaboration between IT and business users to drive the success of your organization.

Finance leaders struggle to gather required information due to the diverse and varying systems where financial data is stored. They need a solution to gather, analyze and act upon both the diverse sources and the centralized solution to make informed and timely financial business decisions. As a result, these leaders are moving towards SAP Central Finance and Syniti to bring central finance to reality. Hear how Syniti has used its solutions, experience, and best practices with customers to successfully complete their journey to SAP Central Finance.

The demonstration is a follow up to our Webinar “Get your business frictionless with clean data” and will focus on our SAP Solution Extension – Information Steward Accelerator. In this demo, you will see how this application covers all phases of a data quality project and adds value to your data governance needs by giving you a web-based platform that bridges the gap between IT and business users as well as increases your overall visibility into the quality of your data.

You have just completed your data project as part of a data migration, upgrading to S/4HANA, a divestiture, or other data transformation. Congratulations! These types of initiatives can be difficult and costly. And now that it is over or well underway, how do you keep your data clean and know that you always have business-ready data?

Poor data quality can affect organizations in many ways - financially, operational efficiency, brand recognition, regulatory compliance, and so on. We will show you how you can reduce operating cost up to 40%, reduce your time spent researching and resolving data errors, increase your revenue by 15-20% as well as improve visibility into your overall data quality.

During our session, we will discuss how to:
• Gain a complete view of information by accessing and measuring data at any scale and from any source
• Continuously assess the trustworthiness of information and determine whether it’s fit to use based on its quality
• Analyze how data quality affects your business processes and performance by discovering, defining, and monitoring data quality levels
• Reduce costly data errors and staff time required for data quality
• Improve data quality visibility and speed error resolution
• Accelerates response times with automatic error alerts sent to responsible data owners

Remember, clean data is critical for business just as clean water is essential to life. Business runs on business processes; business processes run on data. The processes that run your business cannot run efficiently without clean data.

Traditional methods for managing data and analytics landscapes are not evolving fast enough to meet the increased scale and demands of businesses facing a digital transformation program. If you are planning any major transformation involving data, such as a move to S/4HANA, hyper scale cloud, large scale analytics efforts, ML/AI implementations or other major changes to your current IT landscape, now is the time to think about how you will advance your data and governance strategy.

Join Saul Judah from Gartner Research as he discusses the present state of data and analytics governance practices, provides guidance to help you get on (or back on) the right track, and previews where governance practices are heading in the future so that you can keep your strategy on track.

There is a growing demand for high-speed analytic database systems and platforms where data can be processed at lightning speed for business decision-making. However, is that data up-to-date? If the process to update that data is batch or overnight, the data delivery may be fast, but the information may be outdated which can result in error-prone reporting and ineffective (or disastrous) business decisions.

For successful analytics it’s important to move data in real time from multiple systems, including legacy databases, so that combined data can be properly presented in a uniform way.

Change Data Capture is a technology employed in the best data replication solutions to minimize the amount of time and resources necessary to update data changes from one system to another. By propagating only what’s changed since the last check on the source system, minimal data is passed between systems in order to ensure identical copies of data on both source and target.

Change Data Capture is frequently used to select and update copies of key data for operational reasons such as maintaining activity on separate systems that interact externally with customers or vendors, or remote systems that interact with corporate databases. However, it is also useful to maintain freshly updated data in systems that are used extensively for non-transactional activity, such as for analysis, reporting and data warehousing.

Main points:
1.Retrieving information from any source database for your analytic system
2.Specialized and configured support to load data into the analytic system
3.Automatically prepare and map the data between systems, saving time and resources
4.Best-in-class process to automatically and continuously update data
5.Change Data Capture saves time, money and effort through efficient and cost-effective technology

Anyone planning a move to SAP S/4HANA will want to optimise their investment to achieve full business benefits from day one. This means getting it right from outset — starting with the migration. Yet data migration is often not highlighted as a key work stream in S/4HANA projects. So, considering so many data migration projects run over time and/or over budget, the question to ask is how is your business planning to do this?

This informative webinar will discuss the various migration options available and share best practice customer cases.

Presenters:
Gerd Danner Vice President EMEA Centre of Excellence for Information Management at SAP

Frank Schuler SAP Mentor and Vice President SAP Technical Architecture with BackOffice Associates

Traditional methods for managing data and analytics landscapes are not evolving fast enough to meet the increased scale and demands of businesses facing a digital transformation program. If you are planning any major transformation involving data, such as a move to S/4HANA, hyper scale cloud, large scale analytics efforts, ML/AI implementations or other major changes to your current IT landscape, now is the time to think about how you will advance your data and governance strategy.

Join Saul Judah from Gartner Research as he discusses the present state of data and analytics governance practices, provides guidance to help you get on (or back on) the right track, and previews where governance practices are heading in the future so that you can keep your strategy on track.

With SAP ERP sitting at the core of your business and having invested in it over a number of years it can seem that Converting it to S/4HANA (known as a Brownfield project) is the easiest and lowest risk path to S/4HANA. However a growing number of organisations are discovering that the further they get into planning for their Brownfield project to more attractive starting with a fresh slate becomes and some are changing their plans to doing a New implementation (known as a Greenfield project). This webinar given by 2 SAP Mentors, will describe the key risks and benefits of each approach and highlight where BackOffice Associates can help to de-risk the journey with its services and software.

Preparing your employee data for SuccessFactors® is more complex than you think. American Airlines tackled highly challenging transformations from multiple legacy systems and pre-merger organizations to bring a unified HR platform to life with SuccessFactors®.

Join Jan Wade, Director, HR Information Systems and Nikkia Conley, Sr. Manager, HR Shared Services, of American Airlines; and Nate LaFerle, Client Partner at BackOffice Associates, as they discuss how they addressed key challenges along the way.

Today's PLM programs are helping companies build new capabilities to improve product portfolio management, sku-level profitability, customer service levels, and regulatory compliance. Data management, migration, and governance are a critical foundation for success, but have added complexity for PLM since much of the data is in "unstructured" sources like PDFs.

Please join this webinar to hear Chris Knerr, BackOffice Associate's Global Big Data & Analytics Leader, share Life Sciences and CPG best practices for PLM programs.

Sécuriser son projet d’implémentation de S/4HANA, sa mise en production permet d’optimiser son investissement et de choyer ses utilisateurs qui pourront en tirer pleinement profit plus rapidement.

Dans les projets S/4HANA, la migration des données n'est souvent pas perçu comme clé et sa criticité est trop souvent sous-estimée. Les projets ayant pris du retard à cause de la migration des données sont courants, impactant ainsi les coûts initialement alloués au projet, sa date de livraison et la qualité des données. Vous devez donc bien en amont vous poser les bonnes questions sur ces problématiques de cette migration vers S/4HANA ?

Pour connaître les différentes options de migration disponibles, nous vous invitons à découvrir celle que nous préconisons lors d’un webinar informatif. Nous vous présenterons les bons outils qui amélioreront l'agilité et l'efficacité des processus opérationnels lors de cette phase critique de la migration, et nous partagerons des cas de clients.

Présentateur
Pierre Adloff - Directeur des ventes, BackOffice Associates
Jean-Francois Floch – Responsable des services d'engagement pour la transformation informatique, SAP