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Data Prep for AI: Get Your Oracle House in Order

Jet Global

Despite the transformative potential of AI, a large number of finance teams are hesitating, waiting for this emerging technology to mature before investing. According to a recent Gartner report, a staggering 61% of finance organizations haven’t yet adopted AI. This eliminates data fragmentation, a major obstacle for AI.

Finance 52
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Unified Data Clears the Roadblocks of Your Hybrid Cloud Journey

Jet Global

Reasons for Lingering On-Premises Many companies are willing to experiment with the cloud in other parts of their business, but they feel that they can’t put the quality, consistency, security, or availability of financial data in jeopardy. Thus, finance data remains on-premises.

Finance 52
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3 Ways Logi Symphony Leverages AI for Actionable Insights

Jet Global

This approach allows you and your customers to harness the full potential of your data, transforming it into interactive, AI-driven conversations that can significantly enhance user engagement and insight discovery. Chatflows ensure every interaction is personal and relevant, transforming data queries into engaging conversations.

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What is Data Mapping?

Jet Global

This field guide to data mapping will explore how data mapping connects volumes of data for enhanced decision-making. Why Data Mapping is Important Data mapping is a critical element of any data management initiative, such as data integration, data migration, data transformation, data warehousing, or automation.

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What Is Embedded Analytics?

Jet Global

BI is a set of independent systems (technologies, processes, people, etc.) that gathers data from many sources. These tools prep that data for analysis and then provide reporting on it from a central viewpoint. These reports are critical to making decisions. And Manufacturing and Technology, both 11.6

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What is a Data Pipeline?

Jet Global

Data Extraction : The process of gathering data from disparate sources, each of which may have its own schema defining the structure and format of the data and making it available for processing. This can include tasks such as data ingestion, cleansing, filtering, aggregation, or standardization.

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Generate More Value From SAP Data With a Real-Time Close

Jet Global

Increased Efficiency and Time Savings: Instead of spending days or even weeks reconciling accounts and preparing financial reports, finance teams can complete these tasks in a fraction of the time, allowing them to focus on more strategic and value-added activities. Speed time to market with faster data migration, easier data transformation.

Finance 52