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 68

Data Strategy Strategy Data Warehouse Prescriptive Analytics 68

CIO Business Intelligence

JUNE 14, 2023

CompTIA Data+ The CompTIA Data+ certification is an early-career data analytics certification that validates the skills required to facilitate data-driven business decision-making. They can visualize and present data findings in dashboards, presentations, and commonly used visualization platforms.

Big Data 124

Big Data Data Analytics Analytics Predictive Modeling 124

BI-Survey

FEBRUARY 6, 2020

Recent years have seen extensive interest in topics around explorative BI such as advanced and predictive analytics. It is an increasing challenge for organizations to deliver high quality yet more flexible reporting solutions and applications in less time. Data management has always been a challenge for companies.

Reporting 59

Reporting Optimization Enterprise Data Quality 59

Smarten

SEPTEMBER 15, 2017

Take the time to develop detailed requirements that consider business user skills, use cases for day-to-day analytics needs and for strategic use, the need for mobile access, scalability, data source integration and other needs. Will you need the flexibility to customize or personalize dashboards?

Analytics 40

Analytics Statistics Data Governance Cost-Benefit 40

Grooper

AUGUST 19, 2019

It includes the reports, charts, dashboards, and terminology unique to your organization. ISL helps today's business leaders understand how data answers business questions. Key Language of Applied Analytics. The vocabulary of applied analytics includes words and concepts such as: Key performance indicators (KPIs).

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

Cloudera

JUNE 29, 2023

To improve the way they model and manage risk, institutions must modernize their data management and data governance practices. Implementing a modern data architecture makes it possible for financial institutions to break down legacy data silos, simplifying data management, governance, and integration — and driving down costs.

Data Architecture 88

Data Architecture Risk Management Risk Management 88

Andrew White

JANUARY 11, 2021

Remember, it’s not about how many records were cleaned up or how many dashboards were generated, it’s about how much of an impact on the outcome the worm of D&A has that counts. What are the new trends around the Data solution architecture (centralized vs de-centralized?). where performance and data quality is imperative?

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52