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 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

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 78

Data Strategy Strategy Data Warehouse Prescriptive Analytics 78

Octopai

JUNE 9, 2024

They invested heavily in data infrastructure and hired a talented team of data scientists and analysts. The goal was to develop sophisticated data products, such as predictive analytics models to forecast patient needs, patient care optimization tools, and operational efficiency dashboards.

IT 52

IT Data-driven Predictive Analytics Data Strategy 52

Jim Harris

JULY 13, 2015

Background: “Apathy is the enemy of data quality”. I began work on data quality in the late 1980s at the great Bell Laboratories. This led me to conclude, by about 2000, that apathy was the number one enemy of data quality. I especially wanted to identify industries that were ripe for data quality.

Data Quality 56

Data Quality Data-driven Big Data Consulting 56

Alation

MARCH 21, 2023

What are common data challenges for the travel industry? Some companies struggle to optimize their data’s value and leverage analytics effectively. When companies lack a data governance strategy , they may struggle to identify all consumer data or flag personal data as subject to compliance audits.

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

Alation

MAY 4, 2023

Enhanced data quality Data catalogs provide a robust way of tracking data assets, helping to ensure that they are accurate, complete, and up-to-date. Establish clear objectives for integrating data catalogs with data visualization tools. Research and select the right tools for your organization.

Visualization 52

Visualization Metadata Data Governance KPI 52

Smarten

DECEMBER 3, 2023

‘Giving your team the right tools and a simple way to manage the overwhelming flow of data is crucial to business success.’ Why is augmented analytics an important factor in your success? So, what does all this mean to your business? The typical business will find it difficult to achieve approval for a new software solution.

Analytics 40

Analytics Cost-Benefit Data Quality Consulting 40

Alation

MAY 4, 2023

Enhanced data quality Data catalogs provide a robust way of tracking data assets, helping to ensure that they are accurate, complete, and up-to-date. Establish clear objectives for integrating data catalogs with data visualization tools. Research and select the right tools for your organization.

Visualization 40

Visualization Metadata Data Governance KPI 40

Smarten

SEPTEMBER 15, 2017

Your organization can enjoy an interactive view and clean, clear data so that it is easier to use and interpret to provide data quality and clear watermarks to identify the source of data. Data Governance and Self-Serve Analytics Go Hand in Hand.

Analytics 40

Analytics Statistics Data Governance Cost-Benefit 40

Srividya Sridharan

SEPTEMBER 5, 2019

Discover the themes and topics we'll be tackling at this year's Data Strategy & Insights Forum.

Data Strategy 81

Data Strategy Strategy Predictive Analytics Customer Analytics 81

Data Virtualization

MARCH 15, 2024

Reading Time: 2 minutes In the dynamic arena of banking, hyper-personalization emerges as a beacon of innovation, reshaping customer interactions in profound ways.

Interactive 64

Interactive Data Integration Management Predictive Analytics 64

Andrew White

JANUARY 11, 2021

See The Future of Data and Analytics: Reengineering the Decision, 2025. You mentioned a few times that most enterprises are not good at data governance. where performance and data quality is imperative? Yes, prescriptive and predictive analytics remain very popular with clients.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

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

Grooper

AUGUST 19, 2019

Key Language of Applied Analytics. The vocabulary of applied analytics includes words and concepts such as: Key performance indicators (KPIs). Master data management. Data governance. Structured, semi-structured, and unstructured data. Data pipelines. Data science skills. Data quality.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

CIO Business Intelligence

DECEMBER 19, 2024

Accelerate decision-making: Provide real-time insights and predictive analytics to support informed decision-making. Implement robust data governance policies and procedures to maintain data quality and security. Consider the platforms ability to scale and handle increasing data volumes and complexity.

Sales 122

Sales Analytics Key Performance Indicator Prescriptive Analytics 122

AWS Big Data

OCTOBER 24, 2024

Maintaining regulatory compliance HCLS organizations are subject to a range of industry-specific regulations and standards, such as Good Practices (GxP) and HIPAA, that ensure data quality, security, and privacy. Enhancing these capabilities in a secure and compliant manner is key to unlocking the potential of health data.

Data Warehouse 98

Data Warehouse Business Objectives Data-driven Management 98

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