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Syniti announces new AI-driven operational data matching
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Syniti announces new AI-driven operational data matching

This functionality is available as a module of the Syniti Knowledge Platform, or standalone as Syniti Match (previously 360Science).

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Syniti is Partnering with IBM to Offer Seamless Transition to SAP
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Syniti is Partnering with IBM to Offer Seamless Transition to SAP

Syniti is introducing a new offering with IBM—the IBM Data Readiness Assessment with Syniti Knowledge Platform—to help accelerate digital transformation for their joint customers preparing to transition to SAP S/4HANA.

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For Successful Data Migration, Overcome These Data Transformation Misconceptions
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For Successful Data Migration, Overcome These Data Transformation Misconceptions

There are numerous misunderstandings and assumptions about this topic, yet when done right, it can be a powerful business facilitator. In a nutshell, data transformation is required for any major business shift.

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Debunking The Myths Of Data Transformation For A Better Data Migration Strategy
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Debunking The Myths Of Data Transformation For A Better Data Migration Strategy

Data transformation can be a key component of a successful data migration strategy. To get it right, however, it's important to really understand the process and what it entails.

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Successfully Migrating to SAP S/4HANA: How to Pull It Off with Aplomb
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Successfully Migrating to SAP S/4HANA: How to Pull It Off with Aplomb

To maximize the business outcomes of the type of digital transformation S/4HANA promises, an organization needs a successful data migration that can deliver business-ready data on day 1.

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5 Differences Between Data Scientists and Data Analysts
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5 Differences Between Data Scientists and Data Analysts

Leaders of organizations just beginning the data journey might think they can cut corners by choosing either a data scientist or an analyst. In reality, both are necessary to achieve data nirvana…

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Stop data pollution from turning your company’s data lake into a swamp
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Stop data pollution from turning your company’s data lake into a swamp

Today, every organization is a data organization. It doesn’t matter if you work for a tech company in Silicon Valley, an established manufacturer, a legacy financial services firm, or even a government agency, your company is collecting, storing, and aiming to use more data than ever before.

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