AWS Big Data

MARCH 26, 2024

A Gartner Marketing survey found only 14% of organizations have successfully implemented a C360 solution, due to lack of consensus on what a 360-degree view means, challenges with data quality, and lack of cross-functional governance structure for customer data.

Data Strategy 80

Data Strategy Strategy Data Warehouse Prescriptive Analytics 80

AWS Big Data

NOVEMBER 16, 2023

Amazon Redshift is a popular cloud data warehouse, offering a fully managed cloud-based service that seamlessly integrates with an organization’s Amazon Simple Storage Service (Amazon S3) data lake, real-time streams, machine learning (ML) workflows, transactional workflows, and much more—all while providing up to 7.9x

Enterprise 100

Enterprise Data Warehouse Snapshot Cost-Benefit 100

datapine

MAY 21, 2019

These benefits include cost efficiency, the optimization of inventory levels, the reduction of information waste, enhanced marketing communications, and better internal communication – among a host of other business-boosting improvements. 7) Dealing with the impact of poor data quality.

Business Intelligence 183

Business Intelligence Cost-Benefit Dashboards ROI 183

Cloudera

APRIL 14, 2021

Precisely Data Integration, Change Data Capture and Data Quality tools support CDP Public Cloud as well as CDP Private Cloud. Data pipelines that are bursty in nature can leverage the public cloud CDE service while longer running persistent loads can run on-prem. .

Data Warehouse 82

Data Warehouse Data Processing Machine Learning Data Quality 82

Howard Dresner

JANUARY 4, 2015

He hosts a weekly tweet chat (#BIWisdom) on Twitter each Friday. He has published two books on the subject, The Performance Management Revolution — Business Results through Insight and Action, and Profiles in Performance — Business Intelligence Journeys and the Roadmap for Change.

Business Intelligence 45

Business Intelligence Recreation/Entertainment Sales Data Quality 45

AWS Big Data

FEBRUARY 27, 2024

Each data producer within the organization has its own data lake in Apache Hudi format, ensuring data sovereignty and autonomy. This enables data-driven decision-making across the organization. AWS services like AWS Lake Formation in conjunction with Atlan help govern data access and policies.

Data-driven 108

Data-driven Data Lake Data Quality Data Governance 108

datapine

FEBRUARY 22, 2022

This should also include creating a plan for data storage services. Are the data sources going to remain disparate? Or does building a data warehouse make sense for your organization? Clean data in, clean analytics out. Cleaning your data may not be quite as simple, but it will ensure the success of your BI.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Alation

FEBRUARY 20, 2020

Additionally, because of the collaborative features found in the Alation Data Catalog, you also gain the ability for data to be easily shared, used and reused. 2) Alation provides visibility into how data is being used and by whom, along with the ability to rate the data assets for usefulness or data quality.

Data Lake 40

Data Lake Data Processing Data Quality Visualization 40

AWS Big Data

APRIL 25, 2023

The following factors guided our decision: Tool close to data – It was important to have the data visualization tool as close to the data as possible. At Dafiti, the entire infrastructure is on AWS, and we use Amazon Redshift as our Data Warehouse. Conclusion Choosing a data visualization tool is not a simple task.

Visualization 52

Visualization IT Data-driven Reporting 52

Andrew White

JANUARY 11, 2021

On January 4th I had the pleasure of hosting a webinar. It was titled, The Gartner 2021 Leadership Vision for Data & Analytics Leaders. This was for the Chief Data Officer, or head of data and analytics. See recorded webinars: Emerging Practices for a Data-driven Strategy. Link Data to Business Outcomes.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Jet Global

FEBRUARY 23, 2024

The quick and dirty definition of data mapping is the process of connecting different types of data from various data sources. Data mapping is a crucial step in data modeling and can help organizations achieve their business goals by enabling data integration, migration, transformation, and quality.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52

Jet Global

OCTOBER 26, 2023

If your finance team is using JD Edwards (JDE) and Oracle E-Business Suite (EBS), it’s like they rely on well-maintained and accurate master data to drive meaningful insights through reporting. For these teams, data quality is critical. Ensuring that data is integrated seamlessly for reporting purposes can be a daunting task.

Data Quality 52

Data Quality Reporting Operational Reporting Finance 52

Jet Global

OCTOBER 11, 2023

It requires complex integration technology to seamlessly weave analytics components into the fabric of the host application. Another hurdle is the task of managing diverse data sources, as organizations typically store data in various formats and locations. Join disparate data sources to clean and apply structure to your data.

Dashboards 52

Dashboards Data-driven Software Reporting 52

Jet Global

AUGUST 24, 2023

This approach helps mitigate risks associated with data security and compliance, while still harnessing the benefits of cloud scalability and innovation. You’ll learn how to: Simplify and accelerate data access and data validation with the ability to perform side-by-side comparisons of data from on-premises and Cloud ERP.

Finance 52

Finance Reporting Data Integration Data Warehouse 52