Precisely

FEBRUARY 12, 2024

Here are some of the key trends and challenges facing telecommunications companies today: The growth of AI and machine learning: Telecom companies use artificial intelligence and machine learning (AI/ML) for predictive analytics and network troubleshooting. Data integration and data integrity are lacking.

Data Governance 64

Data Governance Analytics Analytics Machine Learning 64

Alation

JANUARY 27, 2022

People might not understand the data, the data they chose might not be ideal for their application, or there might be better, more current, or more accurate data available. An effective data governance program ensures data consistency and trustworthiness. It can also help prevent data misuse.

Data Governance 52

Data Governance Analytics Analytics Data Quality 52

Dataconomy

SEPTEMBER 4, 2023

Predictive analytics: Predictive analytics leverages historical data and statistical algorithms to make predictions about future events or trends. For example, predictive analytics can be used in financial institutions to predict customer default rates or in e-commerce to forecast product demand.

Analytics 203

Analytics Analytics Big Data Analytics Big Data Analytics 203

Dataconomy

APRIL 16, 2025

Analytics engines: Systems that process data and execute complex analyses, from basic queries to advanced algorithms. AI/ML capabilities: Incorporates artificial intelligence and machine learning to enhance forecasting and predictive analytics. Data governance: Increased governance is necessary due to varied data sources.

Analytics 91

Analytics Analytics Data Analysis Data Analysis 91

Data Science Connect

MARCH 22, 2023

This could include data quality checks, alerts, and notifications. Establish data governance: Establish clear data governance policies to ensure that your data is accurate, complete, and accessible. This could include data visualization tools, predictive analytics software, and more.

Data Observability 130

Data Observability Data Governance Analytics Analytics 130

Dataconomy

DECEMBER 17, 2024

Example: For a project to optimize supply chain operations, the scope might include creating dashboards for inventory tracking but exclude advanced predictive analytics in the first phase. Actionable steps: Inventory existing data : Identify what data is currently available and assess its quality.

Data Quality 91

Data Quality Power BI Data Engineer Data Engineering 91

Dataconomy

MARCH 28, 2025

By leveraging data science and predictive analytics, decision intelligence transforms raw data into actionable insights, fostering a more informed and agile decision-making process. This innovative blend not only enhances insight generation but also helps businesses navigate increasingly complex environments.

Data Science 91

Data Science Machine Learning Machine Learning Business Intelligence 91

Dataconomy

MAY 27, 2025

Applying quantitative methods to real scenarios Statistics, predictive analytics , and decision modeling courses teach students how to deal with uncertainty. Embracing the ethics of data use Accountability comes with technical progress. MIS classes usually cover data governance, privacy regulations, and ethical information use.

Analytics 91

Analytics Analytics Database Data Warehouse 91

Data Science Blog

NOVEMBER 15, 2023

Storing the Object-Centrc Analytical Data Model on Data Mesh Architecture Central data models, particularly when used in a Data Mesh in the Enterprise Cloud, are highly beneficial for Process Mining, Business Intelligence, Data Science, and AI Training.

Data Models 245

Data Models Data Modeling Business Intelligence Business Intelligence 245

IBM Journey to AI blog

AUGUST 12, 2024

It helps companies streamline and automate the end-to-end ML lifecycle, which includes data collection, model creation (built on data sources from the software development lifecycle), model deployment, model orchestration, health monitoring and data governance processes.

Big Data 106

Big Data Big Data ML ML 106

DataRobot

JANUARY 20, 2022

. — Snowflake and DataRobot AI Cloud Platform is built around the need to enable secure and efficient data sharing, the integration of disparate data sources, and the enablement of intuitive operational and clinical predictive analytics. Building data communities. . – Public sector data sharing.

Data Science 145

Data Science Data Warehouse Analytics Analytics 145

Dataversity

JULY 15, 2024

In the contemporary data-driven business landscape, the seamless integration of data architecture with business operations has become critical for success.

Predictive Analytics 64

Predictive Analytics Analytics Analytics Data Governance 64

Precisely

AUGUST 3, 2023

Half of the respondents (50%) say their strategies are influenced by advanced data analytics, a critical technology for amplifying data-driven decision-making. They also report an increased focus on financial reporting and predictive analytics (28%) in response to the economic downturn.

DataOps 98

DataOps Data Quality Analytics Analytics 98

Data Science Dojo

JULY 2, 2024

Integrate data from various sources, preprocess it on the fly, and use predictive analytics to make immediate decisions. It is important to establish a strong foundation based on high-quality data. Moreover, you must implement data governance frameworks to ensure accuracy and compliance with regulations.

AI 195

AI AI Algorithm Machine Learning 195

Precisely

NOVEMBER 20, 2023

It has been at the heart of many innovations over the past two years, powering everything from the chatbots that enhance our customer experiences to the predictive analytics engines that help us make financial decisions. Therefore, every AI initiative must occur within a sound data governance framework.

AI 121

AI AI Clean Data Predictive Analytics 121

IBM Journey to AI blog

JUNE 8, 2023

Companies with a modern data architecture and robust BI adoption not only gain immediate competitive advantage, they are positioned to move even further ahead by adopting real-time decisioning practices and predictive analytics, the next steps in digital transformation.

Business Intelligence 78

Business Intelligence Business Intelligence AI AI 78

Alation

FEBRUARY 20, 2020

As data drives more and more of the modern economy, data governance and data management are racing to keep up with an ever-expanding range of requirements, constraints and opportunities. Prior to the Big Data revolution, companies were inward-looking in terms of data.

Data Governance 52

Data Governance Data Science Data Warehouse Analytics 52

ODSC - Open Data Science

MAY 26, 2025

From predictive analytics to automation, AIs capabilities are reshaping industries at breakneck speed. Build Cross-Functional Alliances: Work with legal, IT, HR, and operations to anticipate challenges around data governance, ethical use, and employee adoption. AI is no longer a futuristic concept.

AI 52

AI AI Data Pipeline Predictive Analytics 52

IBM Journey to AI blog

JUNE 29, 2023

The cloud also offers data security, disaster recovery, and cost efficiencies compared to on-premises infrastructure. Data governance and security As organizations integrate data from multiple sources, maintaining data governance and security becomes crucial.

Analytics 94

Analytics Analytics Business Intelligence Business Intelligence 94

Smart Data Collective

AUGUST 14, 2019

The healthcare sector is heavily dependent on advances in big data. Healthcare organizations are using predictive analytics , machine learning, and AI to improve patient outcomes, yield more accurate diagnoses and find more cost-effective operating models. Here are some changes on the horizon.

Big Data Analytics 101

Big Data Analytics Big Data Analytics Big Data Big Data 101

IBM Journey to AI blog

OCTOBER 30, 2023

The platform provides an intelligent, self-service data ecosystem that enhances data governance, quality and usability. By migrating to watsonx.data on AWS, companies can break down data silos and enable real-time analytics, which is crucial for timely decision-making.

AWS 95

AWS AI AI Data Warehouse 95

Pickl AI

DECEMBER 2, 2024

Processing frameworks like Hadoop enable efficient data analysis across clusters. Analytics tools help convert raw data into actionable insights for businesses. Strong data governance ensures accuracy, security, and compliance in data management. What is Big Data?

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Pickl AI

NOVEMBER 25, 2024

Processing frameworks like Hadoop enable efficient data analysis across clusters. Analytics tools help convert raw data into actionable insights for businesses. Strong data governance ensures accuracy, security, and compliance in data management. What is Big Data?

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

phData

FEBRUARY 14, 2023

Insurance companies often face challenges with data silos and inconsistencies among their legacy systems. To address these issues, they need a centralized and integrated data platform that serves as a single source of truth, preferably with strong data governance capabilities.

Data Governance 52

Data Governance Data Silos Predictive Analytics Data Wrangling 52

Pickl AI

SEPTEMBER 17, 2024

It leverages Machine Learning, natural language processing, and predictive analytics to identify malicious activities, streamline incident response, and optimise security measures. Summary : AI is transforming the cybersecurity landscape by enabling advanced threat detection, automating security processes, and adapting to new threats.

AI 52

AI AI Machine Learning Machine Learning 52

Pickl AI

JUNE 18, 2024

This opens doors to predictive analytics, anomaly detection, and sentiment analysis, providing deeper insights and enabling proactive decision-making. Power BI can analyse transaction data to identify suspicious activities and ensure compliance with these regulations. How Can Power BI be Used for Blockchain Analytics?

Power BI 52

Power BI Data Analysis Data Analysis Data Visualization 52

Pickl AI

OCTOBER 18, 2023

Data Enrichment Services Enrichment tools augment existing data with additional information, such as demographics, geolocation, or social media profiles. This enhances the depth and usefulness of the data. It defines roles, responsibilities, and processes for data management. FAQs How AI and ML Can Improve Data Quality?

Data Quality 52

Data Quality ML ML Machine Learning 52

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. The more direct experience and talent an analyst has with automation technology, the more desirable they will be. The Rise of Regulation.

Analytics 111

Analytics Analytics Data Analyst Machine Learning 111

Pickl AI

OCTOBER 15, 2024

Predictive Analytics Predictive analytics involves using statistical algorithms and Machine Learning techniques to forecast future events based on historical data. It analyses patterns to predict trends, customer behaviours, and potential outcomes.

Analytics 52

Analytics Analytics Predictive Analytics Machine Learning 52

Alation

MAY 2, 2023

As organizations within the hospitality industry collect, aggregate, and transform large data sets, data consolidation enables them to manage data more purposefully and democratize the analytics process. The more data fed into an algorithm, the more accurate the outcome.

Analytics 52

Analytics Analytics Data Silos Data Governance 52

Dataconomy

MAY 17, 2023

The widespread adoption of artificial intelligence in sales has led to the development of various tools Improving sales forecasting and analytics Artificial intelligence empowers sales teams with advanced forecasting and analytics capabilities, enabling data-driven decision making and improved sales performance.

Artificial Intelligence 87

Artificial Intelligence Artificial Intelligence AI AI 87

Alation

MAY 4, 2023

The chosen predictive analytics tools should be able to handle large datasets easily, provide a range of features such as interactive visualizations, and be compatible with existing systems. Establish clear objectives for integrating data catalogs with data visualization tools.

Data Visualization 52

Data Visualization Data Governance Tableau Data Scientist 52

Pickl AI

OCTOBER 3, 2024

The process typically involves several key steps: Model Selection: Users choose from a library of pre-trained models tailored for specific applications such as Natural Language Processing (NLP), image recognition, or predictive analytics. Computer Vision : Models for image recognition, object detection, and video analytics.

Machine Learning 52

Machine Learning Machine Learning AI AI 52

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.

Analytics 52

Analytics Analytics Data Silos Big Data 52

Pickl AI

APRIL 2, 2024

There are three main types, each serving a distinct purpose: Descriptive Analytics (Business Intelligence): This focuses on understanding what happened. Think of it as summarizing past data to answer questions like “Which products are selling best?” How Do I Prepare My Business for Data Science?

Data Science 52

Data Science Machine Learning Machine Learning Predictive Analytics 52

Alation

MAY 2, 2023

As organizations within the hospitality industry collect, aggregate, and transform large data sets, data consolidation enables them to manage data more purposefully and democratize the analytics process. The more data fed into an algorithm, the more accurate the outcome.

Analytics 40

Analytics Analytics Data Silos Data Governance 40

Pickl AI

JULY 29, 2024

Log Analysis These are well-suited for analysing log data from various sources, such as web servers, application logs, and sensor data, to gain insights into user behaviour and system performance. Data Governance and Security Hadoop clusters often handle sensitive data, making data governance and security a significant concern.

Hadoop 52

Hadoop Clustering Big Data Big Data 52