This decision could have far-reaching consequences for your data integration environment for the next decade or longer.

Wyntec recommends that you ask yourself the following questions to determine the right combination of data integration tools for your organization:

1. Are you having difficulty finding and retaining the key technical resources to maintain your data integration environment?
2. Are your stakeholders, business analysts and end users frustrated by long development timeframes?
3. Are you constantly finding that your Extract/Transform/Load (ETL) projects did not satisfy business requirements?
4. Is the metadata contained in your ETL platform misunderstood or unavailable to your stakeholders?
5. Is it time to move to a self-service, SQL-based platform that fully leverages the cloud?
6. Do you feel like you are paying exorbitant costs for a tool that does relatively simple transformations?
7. Would you like to realize substantial cost savings from lower data integration costs?

If you answered “yes” to any of the above questions, your organization would likely benefit from incorporating Wyntec Services in some capacity.

Wyntec’s “Services backed by Tools Philosophy” allows us to provide our clients with a modernized approach to convert off the PWC platform to a state-of-the-art solution with processes that ensure reduced overhead, less maintenance, and lower costs.

Our project methodology to convert you off the PWC platform includes the following phases:

1. Discovery Phase –This phase begins by automatically “crawling” the business, technical, and operational metadata that is contained in your PWC and supporting data integration platform to develop a graphical ontology and road map for the conversion. Our MetaInsight portal provides you visibility to the actual lineage of your ETL code by leveraging Wyntec’s graphical Ontology tool and the Common Warehouse Model (CWM). This allows your team to obtain true insights regarding your existing code base.

   MetaInsights provides visibility not only to your ETL logic, but also to your source and target databases, operational statistics, and usage models. This subscription-based service will crawl your platforms irrespective of the PWC, IICS or any other integration tool.
2. Architecture Phase – Configuring the components of your future-state data integration platform is an important step in the modernization journey. We never recommend that you simply move your code from PWC to IICS without considering automation where it makes the most sense. You should also strongly consider introducing self-service capabilities that your less technical generally lower cost resources can utilize. Finally, as you move to the cloud you should leverage the federated services and elastic configurations that are not necessarily contained in IICS.

   The following table is used to assess your data integration environment during the Architecture Phase of the conversion process:
   

   Feature	Wyntec Technology	Informatica IICS
   Code Structure	Code-light, model-driven framework that wraps design patterns around SQL. It does not require highly skilled Informatica resources but rather promotes self-service capabilities for your analysts. This metadata-driven platform integrates data at lightning-fast speed.	High-code structure that requires very skilled and expensive Informatica developers. All the design and code must be manually created, resulting in slow development processes.
   Data Integration Services	Subscription-based services and a best-of-breed product that satisfies all your data integration needs. These services include Data Acquisition, Data Transformation, Data Submission, Information Governance, MetaInsight, Data Quality, and Stewardship. Utilizes less expensive SQL resources.	Add-on components are licensed separately. Informatica provides only Data Acquisition, Data Transform, Metadata, and Data Quality services. No pre-built design patterns are provided, so each solution must be manually coded. Requires expensive, highly skilled Informatica resources.
   Licensing	Subscription and Usage-based pricing models charge only for active objects. Scales based on actual use.	Core-based licensing plus annual maintenance.
   Design Patterns	Seven different Change Data Capture (CDC) methods Wraps pre-built design patterns around SQL Model-driven framework that writes to the common analytical methodologies (Kimball, Inmon, Linstedt Data Vault, etc).	Minimal design patterns Code-based platform that does not leverage metadata to dynamically create the transformations Solutions have to be architected and designed from scratch.
   Information Governance	Subscription-based service that includes machine learning and self-service analytics to mine all your business, technical, and operational metadata. MetadaInsight, Data Quality, and Stewardship are packaged in this service offering.	Additional license fees are required for metadata and data quality offerings. No stewardship, machine learning, or pre-built analytics.
   Platforms Supported	Supports any combination of cloud, on-premise, and hybrid cloud. Vendor agnostic and integrates to any commercial database, cloud platform, storage platform, or file structure. Scales based on virtual machines (VM’s).	IICS supports the cloud but is moving away from its on-premise platform. Difficult to implement hybrid cloud solution. Complex licensing model for multiple platforms such as on-premise, cloud, and hybrid cloud.
3. Development phase – The Wyntec team will collaborate with your existing operations team to ensure minimal impact and risk to your production processes. We will leverage our extensive onshore, nearshore, and offshore channel partnerships to scale the delivery team to any size you need. Most importantly, since all our code is dynamically generated from your metadata we can move at lightning speed. This allows us to offer a delivery-based model where you do not pay us until we have delivered. We utilize an interactive approach that includes built-in data quality and process optimization.
4. Deploy and Support – Unlike Informatica professional services that charge on a time and materials basis, we offer subscription-based services that constantly monitor and support you on a 24/7/365 basis. Because our solutions are metadata-driven and not code-based, we are actively monitoring your environments, recommending solutions to any issues, and training your self-service team to truly leverage the pre-built design patterns.
5. 24/7/365 Monitoring – Wyntec’s Information Governance Service loads all your business, technical and operational metadata into a Common Warehouse Model (CWM) platform with pre-built machine learning and analytics features that actively mine your usage patterns. We uniquely deliver invaluable insights into your capacity growth, performance metrics, utilization patterns, access and controls, and data quality. Our stewardship program works closely with your subject matter experts to develop improvement recommendations and provide actionable insights.

Including Wyntec Services in your data integration ecosystem is an easy decision with no up-front costs and low barriers to entry. Your environment could be up and running within a week so you can see immediate results.

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