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Fire Your Super-Smart Data Consultants with DataOps

DataKitchen

There’s no shortage of consultants who will promise to manage the end-to-end lifecycle of data from integration to transformation to visualization. . Companies end up paying outside consultants enormous fees while still having to suffer the effects of poor data quality and lengthy cycle time. . Here is where the loss of control begins.

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AI poised to replace entry-level positions at large financial institutions

CIO Business Intelligence

Representatives from Goldman Sachs, JP Morgan Chase, and Morgan Stanley did not immediately respond to requests for comment on their companies’ plans to implement AI or its potential to change their hiring strategies.

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6 ways CIOs sabotage their IT consultant’s success

CIO Business Intelligence

Once upon a time my consulting company offered a “Take the Blame” service. Our logic: As consultants we’d probably be blamed anyway. Consultants do make convenient scapegoats. Flighty assumptions Consulting contracts or statements of work include a section titled “Assumptions.” Strangely, we had no takers.

IT 98
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8 ways to detect (and reject) terrible IT consulting advice

CIO Business Intelligence

Before embracing any external advice on any IT or business issue, check out the following eight ways to determine whether a consultant is truly on track. To be viable, a consultant’s solution should address each client’s unique needs, says Olexander Paladiy, product director at software product studio and consulting firm Railsware.

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How DataOps is Transforming Commercial Pharma Analytics

DataKitchen

They submit an endless list of requests for new data sets, dashboards, segmentations, cached data sets and nearly anything else they think will help them meet business goals. The sales and marketing organizations bombard the data team with requests for analytic insights and demand immediate answers.

Analytics 246
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Centralize Your Data Processes With a DataOps Process Hub

DataKitchen

Automation provides a way to accomplish this without hiring expensive teams of consultants. DataOps eliminates bottlenecks and delays by putting everything related to analytics under the control of the internal data team and reducing the need for outside consultants. Multi-team, multi-vendor and multi-location collaboration.

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ChatGPT disruption: AI’s evolving vision renews need for trusted, governed data

CIO Business Intelligence

Storing and retrieving governed data Influential technology, like Natural Language Processing (NLP), allows for the retrieval of responses based on questions that are asked conversationally or a standard business request. This process parses a request into meaningful components and ensures that the right context is applied within a response.