CIO Business Intelligence

JUNE 14, 2023

Candidates show facility with data concepts and environments; data mining; data analysis; data governance, quality, and controls; and visualization. They know how to assess data quality and understand data security, including row-level security and data sensitivity.

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126

Wise Analytics

OCTOBER 13, 2014

After years of trying to adopt data governance initiatives as part of a larger data management framework within organizations, software vendors are integrating similar capabilities into their solutions. ensuring users understand the differences between types of data being accessed. limiting access to governed sources.

Data Governance 40

Data Governance Metrics Data Quality Business Intelligence 40

Jet Global

JULY 2, 2019

For example, Azure Data Lake includes all the capabilities required to make it easy for developers, data scientists, and analysts to store data of any size, shape, and speed—and do all types of processing and analytics across platforms and languages. Build your Business Intelligence Infrastructure on a Solid Foundation.

Data Lake 73

Data Lake Data Warehouse Big Data Machine Learning 73

Alation

AUGUST 5, 2021

What is Data Quality? Data quality is defined as: the degree to which data meets a company’s expectations of accuracy, validity, completeness, and consistency. By tracking data quality , a business can pinpoint potential issues harming quality, and ensure that shared data is fit to be used for a given purpose.

Data Quality 52

Data Quality IT Data Governance Sales 52

Smarten

SEPTEMBER 15, 2017

Every enterprise is talking about Business Intelligence and Advanced Analytics. Every enterprise has considered the benefits of implementing self-serve analytics across the organization and involving business users in the process. Data Governance and Self-Serve Analytics Go Hand in Hand.

Analytics 40

Analytics Statistics Data Governance Cost-Benefit 40

Domino Data Lab

JULY 22, 2019

data science’s emergence as an interdisciplinary field – from industry, not academia. why data governance, in the context of machine learning is no longer a “dry topic” and how the WSJ’s “global reckoning on data governance” is potentially connected to “premiums on leveraging data science teams for novel business cases”.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

CIO Business Intelligence

DECEMBER 21, 2022

Every day, organizations of every description are deluged with data from a variety of sources, and attempting to make sense of it all can be overwhelming. So a strong business intelligence (BI) strategy can help organize the flow and ensure business users have access to actionable business insights. “By

IT 131

IT Business Intelligence Sales Key Performance Indicator 131

CIO Business Intelligence

FEBRUARY 20, 2023

To earn the Salesforce Data Architect certification , candidates should be able to design and implement data solutions within the Salesforce ecosystem, such as data modelling, data integration and data governance. Candidates should be experienced full-stack developers for Salesforce B2C Commerce Digital.

Consulting 81

Consulting B2B Cost-Benefit Sales 81

datapine

FEBRUARY 22, 2022

1) What Is A Business Intelligence Strategy? 4) How To Create A Business Intelligence Strategy. Odds are you know your business needs business intelligence (BI). Over the past 5 years, big data and BI became more than just data science buzzwords. Table of Contents.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

CIO Business Intelligence

NOVEMBER 28, 2023

“The insights derived from this audio data have directly contributed to improving the game’s audio experience, ensuring that players are constantly emotionally engaged in the gameplay and interacting with the environment,” Konoval says. Games are dynamic, and so is the data they generate, Konoval says. Quality is job one.

Unstructured Data 130

Unstructured Data Data-driven Visualization Data Quality 130

Smarten

SEPTEMBER 6, 2019

SSDP (otherwise known as self-serve data preparation) is the logical evolution of business intelligence analytical tools. With self-serve tools, data discovery and analytics tools are accessible to team members and business users across the enterprise. Self-Serve Data Prep in Action. What is SSDP?

Analytics 51

Analytics IT Business Intelligence Testing 51

CIO Business Intelligence

MAY 30, 2024

You’re driving productivity, efficiency, and how you’re interacting so you can spend your time with the customer on things that are more important and that only you can do. The key is identifying the use cases with the biggest business value and impact as well as defining how you will work differently to benefit from these capabilities.

Data Quality 104

Data Quality Key Performance Indicator Digital Transformation Management 104

Alation

APRIL 12, 2022

The individual initiatives that make up a data strategy may, at times, seem at odds with one another, but tools, such as the enterprise data catalog , can help CDOs in striking the right balance between facilitating data access and data governance. The CDO’s Role in Driving a Data Strategy.

Data Quality 52

Data Quality Data Governance Metrics Data Strategy 52

IBM Big Data Hub

AUGUST 4, 2023

Data democratization instead refers to the simplification of all processes related to data, from storage architecture to data management to data security. It also requires an organization-wide data governance approach, from adopting new types of employee training to creating new policies for data storage.

Data Architecture 59

Data Architecture Data Lake Machine Learning Data Governance 59

BI-Survey

FEBRUARY 6, 2020

It allows new forms of consumption and interaction with BI content through natural language queries (NLQ) run through chat-bots and other conversational interfaces on any device. Only a minority of companies say they have a modern reporting landscape and regularly base decisions on data. This will and must change.

Reporting 59

Reporting Optimization Enterprise Data Quality 59

Alation

AUGUST 26, 2021

It asks much larger questions, which flesh out an organization’s relationship with data: Why do we have data? Why keep data at all? Answering these questions can improve operational efficiencies and inform a number of data intelligence use cases, which include data governance, self-service analytics, and more.

Metadata 64

Metadata Data Governance Dashboards Software 64

AWS Big Data

AUGUST 14, 2023

In the same way, overly restrictive data governance practices that either prevent data products from taking root at all, or pare them back too aggressively (deforestation), can over time create “data deserts” that drive both the producers and consumers of data within an organization to look elsewhere for their data needs.

Management 79

Management Risk Measurement Optimization 79

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 11, 2023

With enhanced security, customization, scalability, and user empowerment, embedded analytics is a true path forward for analytics teams seeking to thrive in today’s data-driven business landscape. These software teams understand that the usage of ABI ultimately drives better business outcomes.

Dashboards 52

Dashboards Data-driven Software Reporting 52