Remove Data Transformation Remove Finance Remove Operational Reporting
article thumbnail

How smava makes loans transparent and affordable using Amazon Redshift Serverless

AWS Big Data

The data products used inside the company include insights from user journeys, operational reports, and marketing campaign results, among others. The data platform serves on average 60 thousand queries per day. The data volume is in double-digit TBs with steady growth as business and data sources evolve.

Data Lake 114
article thumbnail

Beyond the Dashboard: Transforming Data Into Business Impact Using Qlik + Vizlib

Jet Global

Unlocking the full potential of your data is about more than just visualizing it. True data transformation comes from applying insights to make impactful business decisions.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

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.

Finance 52
article thumbnail

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
article thumbnail

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

Jet Global

In fact, a recent survey of 155 finance executives revealed that 55% of respondents want an automated financial close by 2025. Without the right tool, your finance team is likely spending hours validating data uploads, rekeying general ledger entries and processing large files. Unfortunately, this experience is not uncommon.

Finance 52
article thumbnail

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.

article thumbnail

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.