Alation

MARCH 21, 2023

Why is data analytics important for travel organizations? With data analytics , travel organizations can gain real-time insights about customers to make strategic decisions and improve their travel experience. What are common data challenges for the travel industry? Travel can be stressful and emotionally fraught.

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

Alation

MAY 2, 2023

Hospitality organizations use data analytics to unlock insights, improve operations, and maximize profits. Leveraging analytics enables companies in this space to achieve financial and operational efficiencies while delivering personalized services and offerings. What is data analytics in the hospitality industry?

Data Analytics 40

Data Analytics Analytics ROI Data-driven 40

Cloudera

SEPTEMBER 24, 2021

Reductions in the cost of compute and storage, with efficient appliance based architectures, presented options for understanding more deeply what was actually happening on the network historically, as the first phase of telecom network analytics took shape. Data governance was completely balkanized, if it existed at all.

Analytics 96

Analytics IoT Cost-Benefit Big Data 96

Cloudera

MARCH 17, 2022

Harnessing data in motion is a crucial step in gaining command and control of data as a strategic asset – moving it from where it is generated to where it can be managed and analyzed and ultimately used to support timely, informed decision making. . The Value of Public Sector Data.

IoT 86

IoT Cost-Benefit Data-driven Data Strategy 86

CIO Business Intelligence

DECEMBER 10, 2024

To harness its full potential, it is essential to cultivate a data-driven culture that permeates every level of your company. Notably, hyperscale companies are making substantial investments in AI and predictive analytics. Our comprehensive set of features goes beyond basic data cataloging.

Strategy 105

Strategy Data-driven Cost-Benefit Machine Learning 105

IBM Big Data Hub

OCTOBER 30, 2023

IBM, a pioneer in data analytics and AI, offers watsonx.data, among other technologies, that makes possible to seamlessly access and ingest massive sets of structured and unstructured data. The platform provides an intelligent, self-service data ecosystem that enhances data governance, quality and usability.

Insurance 77

Insurance Data Warehouse Data-driven Unstructured Data 77

Smart Data Collective

MAY 20, 2019

GDPR helped to spur the demand for prioritized data governance , and frankly, it happened so fast it left many companies scrambling to comply — even still some are fumbling with the idea. More and more organizations deploy data analytics tools to influence their operations, future decisions and to understand consumer behavior.

Analytics 111

Analytics Machine Learning Big Data Business Intelligence 111

Smarten

MAY 24, 2018

The Smarten team will be on hand at the Gartner Data & Analytics Summit on June 5 and June 6 to demonstrate current product functionality including Smart Visualization, Plug n’ Play Predictive Analytics and Self-Serve Data Preparation.

Analytics 40

Analytics Data Analytics Data mining Visualization 40

FineReport

JUNE 7, 2024

FineReport : Enterprise-Level Reporting and Dashboard Software Try FineReport Now In 2024, FanRuan continues to push boundaries with groundbreaking advancements in AI-driven analytics and real-time data analytics processing. Elevate your data transformation journey with Dataiku’s comprehensive suite of solutions.

Visualization 52

Visualization Predictive Analytics Dashboards Predictive Modeling 52

Andrew White

JANUARY 11, 2021

Governance. Risk Management (most likely within context of governance). Note: Delivery of data, analytics solutions and the sustainment of technology, data and services is a question. See The Future of Data and Analytics: Reengineering the Decision, 2025. Value Management or monetization.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

AWS Big Data

MARCH 26, 2024

In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. Amazon Redshift offers real-time insights and predictive analytics capabilities for analyzing data from terabytes to petabytes.

Data Strategy 87

Data Strategy Strategy Data Warehouse Prescriptive Analytics 87

FineReport

APRIL 9, 2024

Challenges in Data Management Data Security and Compliance The protection of sensitive patient information and adherence to regulatory standards pose significant challenges in healthcare data management.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

Sisense

SEPTEMBER 12, 2019

We’ve even gone as far as saying that every company is a data company , whether they know it or not. And every business – regardless of the industry, product, or service – should have a data analytics tool driving their business. 3 Define how the data will be shared (and how it will be distributed).

Strategy 81

Strategy Dashboards Diagnostic Analytics Prescriptive Analytics 81

Srividya Sridharan

MARCH 24, 2022

As the leaves start to grow again and the weather warms up, what better time than now to do some much-needed spring cleaning of your data and insights practices? In this edition of the Insights Beat, we dive into our Q1 research in data, analytics, and AI that highlights the best approach to get more […].

IT 72

IT Data Analytics Analytics Predictive Analytics 72

Smarten

SEPTEMBER 15, 2017

Requirements Planning for Data Analytics. Many organizations are so anxious to get into analytics that they fail to consider the depth and breadth of their needs. While it is true that advanced analytics can help every type and size of business, it is important to remember that YOUR organization is not like any other enterprise.

Analytics 40

Analytics Statistics Data Governance Cost-Benefit 40

IBM Big Data Hub

OCTOBER 20, 2023

AI platforms assist with a multitude of tasks ranging from enforcing data governance to better workload distribution to the accelerated construction of machine learning models. What types of features do AI platforms offer?

Machine Learning 71

Machine Learning Manufacturing Deep Learning Cost-Benefit 71

Smarten

SEPTEMBER 9, 2024

Citizen Data Scientist candidates may also be IT team members who are interested in data science. In any case, these candidates will typically be uniquely curious, interested in data analytics and devoted to fact-based decisions and team collaboration.

Consulting 52

Consulting Cost-Benefit Data Science Business Intelligence 52

FineReport

APRIL 3, 2024

By visually representing data through charts, graphs, and maps, they foster collaboration and knowledge sharing among stakeholders. Integrated with diverse data sources, they empower users to analyze data directly within the dashboard interface, democratizing data analytics for both technical and non-technical users.

Dashboards 52

Dashboards Visualization Metrics Interactive 52

Smarten

SEPTEMBER 9, 2024

These tools are more sophisticated, without requiring the skills of a data scientist, and more dynamic without requiring complex customization, and they provide more in-depth predictive analytical functionality and more interactive features. and we will discuss some of the possible issues and challenges.

Business Intelligence 52

Business Intelligence Key Performance Indicator IT Metrics 52

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

Corinium

APRIL 25, 2019

Ahead of the Chief Data Analytics Officers & Influencers, Insurance event we caught up with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity to discuss how the industry is evolving. Ideally the decision of how to protect data should be treated like any other data governance policy.

Insurance 150

Insurance Risk IoT Data-driven 150

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. Primary keys.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

CIO Business Intelligence

JANUARY 6, 2025

Governments and public sector organizations across the region, particularly in the GCC, will lead digital transformation with initiatives focused on smart cities, e-governance, and citizen-centric services. Healthcare: AI-powered diagnostics, predictive analytics, and telemedicine will enhance healthcare accessibility and efficiency.

IoT 81

IoT Digital Transformation Data-driven Machine Learning 81

AWS Big Data

OCTOBER 24, 2024

Complex advanced health analytics Limited machine learning and artificial intelligence capabilities—hindered by legitimate privacy and security concerns—restrict HCLS organizations from using more advanced health analytics. Enhancing these capabilities in a secure and compliant manner is key to unlocking the potential of health data.

Data Warehouse 107

Data Warehouse Business Objectives Data-driven Management 107

BI-Survey

FEBRUARY 6, 2020

Recent years have seen extensive interest in topics around explorative BI such as advanced and predictive analytics. ML allows non-statisticians to leverage advanced and predictive analytics to detect hidden patterns and correlations in data, increasing the depth of analyses conducted. .

Reporting 59

Reporting Optimization Enterprise Data Quality 59