DataKitchen

JUNE 24, 2021

Previously we would have a very laborious data warehouse or data mart initiative and it may take a very long time and have a large price tag. We needed to get the data from a centralized place into their hands so that they could get in the game of digital transformation.”.

ROI 211

ROI Metrics Measurement Cost-Benefit 211

Sisense

FEBRUARY 24, 2021

Challenge: CDOs need to provide a 360-degree view of data across multiple data silos and types of data sitting on the cloud, on-premises, or even in local drives. Many large organizations either have a central data warehouse or are in the process of creating one.

Data Warehouse 69

Data Warehouse Big Data Metrics Visualization 69

Jet Global

MARCH 6, 2020

Today, manufacturers depend on data for analysis to improve productivity, drive supply chain efficiencies, increase customer engagement, and help increase greater levels of automation. . Source: “ Manufacturing’s Digital Transformation: Is Your Company Leading the Way or Falling Behind?” . Mind the Gap.

Manufacturing 75

Manufacturing Data-driven Finance KPI 75

AWS Big Data

NOVEMBER 15, 2023

The difference lies in when and where data transformation takes place. In ETL, data is transformed before it’s loaded into the data warehouse. In ELT, raw data is loaded into the data warehouse first, then it’s transformed directly within the warehouse.

Dashboards 97

Dashboards Analytics Metadata Data Warehouse 97

Sisense

DECEMBER 23, 2019

AI and ML are the only ways to derive value from massive data lakes, cloud-native data warehouses, and other huge stores of information. There just aren’t enough AI and data science practitioners to go around to tackle this lofty goal. Apply that metric to any other business-critical function. It’s the future.

Data Lake 86

Data Lake Machine Learning Data Warehouse Digital Transformation 86

CIO Business Intelligence

SEPTEMBER 8, 2022

We’ve all experienced the pain of what continues to happen with the disconnect between customer usage metrics and gaps in supply chain data.” — Frank Cutitta ( @fcutitta ), CEO and Founder, HealthTech Decisions Lab “Operationally, think of logistics. This means that all changes, all transitions, are instantaneous.

Cost-Benefit 102

Cost-Benefit Internet of Things Data-driven Data Lake 102

AWS Big Data

NOVEMBER 14, 2023

However, in many organizations, data is typically spread across a number of different systems such as software as a service (SaaS) applications, operational databases, and data warehouses. Such data silos make it difficult to get unified views of the data in an organization and act in real time to derive the most value.

IoT 55

IoT Data-driven Data Lake Data Strategy 55

CIO Business Intelligence

MAY 28, 2022

Other key elements for agility include establishing a data warehouse, APIs, proper security, and scalable architecture. So far, KPIs improvied and traditional IT service metrics like cycle times and SLA breaches have decreased. Digital Transformation, IT Leadership, IT Strategy, Project Management

IT 133

IT ROI Cost-Benefit Technology 133

CIO Business Intelligence

MAY 25, 2022

Other key elements for agility include establishing a data warehouse, APIs, proper security, and scalable architecture. So far, KPIs improvied and traditional IT service metrics like cycle times and SLA breaches have decreased. Digital Transformation, IT Leadership, IT Strategy, Project Management

IT 112

IT ROI Cost-Benefit Technology 112

Jet Global

NOVEMBER 7, 2023

Now, as we head into 2024, CFOs continue to seek balance and efficiency through digital transformation. Meanwhile, Robert Half recruitment data shows that nearly 90% of hiring managers are having a hard time finding skilled talent to join their finance teams.

Finance 52

Finance Uncertainty Reporting Marketing 52

Alation

APRIL 25, 2023

It’d be difficult to exaggerate the importance of data in today’s global marketplace, especially for firms which are going through digital transformation (DT). Many governance leaders have found success tracking critical tasks, like number of articles curated or data assets cleaned.

Data Governance 52

Data Governance Marketing Machine Learning Sales 52

Alation

JANUARY 27, 2022

As an organization embraces digital transformation , more data is available to inform decisions. To use that data, decision-makers across the company will need to have access. The proliferation of data sources means there is an increase in data volume that must be analyzed.

Data Governance 52

Data Governance Analytics Cost-Benefit Data-driven 52

Cloudera

JUNE 16, 2022

Every large enterprise organization is attempting to accelerate their digital transformation strategies to engage with their customers in a more personalized, relevant, and dynamic way. The ability to perform analytics on data as it is created and collected (a.k.a. Better yet, it works in any cloud environment.

Data Lake 86

Data Lake Manufacturing Metadata Dashboards 86

Alation

APRIL 25, 2023

It’d be difficult to exaggerate the importance of data in today’s global marketplace, especially for firms which are going through digital transformation (DT). Many governance leaders have found success tracking critical tasks, like number of articles curated or data assets cleaned.

Data Governance 40

Data Governance Marketing Machine Learning Sales 40

Jet Global

MARCH 25, 2020

Many of them are in the middle of digital transformations affecting their systems and environments. Your finance team needs the freedom to do their own ad hoc reporting on any data at any time and release IT to focus on other tasks. non-financial) data in your financial reports?

Reporting 45

Reporting Finance Sales Visualization 45

Alation

AUGUST 26, 2021

Data intelligence has thus evolved to answer these questions, and today supports a range of use cases. Examples of Data Intelligence use cases include: Data governance. Cloud Transformation. Cloud Data Migration. Digital Transformation. Data Intelligence and Data Governance.

Metadata 64

Metadata Data Governance Dashboards Software 64

Andrew White

JANUARY 11, 2021

See recorded webinars: Emerging Practices for a Data-driven Strategy. Data and Analytics Governance: Whats Broken, and What We Need To Do To Fix It. Link Data to Business Outcomes. Does Data warehouse as a software tool will play role in future of Data & Analytics strategy? Policy enforcement.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52