Dataconomy

MAY 26, 2025

Definition and purpose of BDaaS Big Data as a Service encompasses a range of cloud-based data platforms that offer various functionalities tailored to meet specific data-related needs. Its primary role is to alleviate the burden of managing vast data infrastructure on-premises.

Big Data 160

Big Data Big Data Hadoop Cloud Computing 160

Towards AI

JANUARY 27, 2023

In the increasingly competitive world, understanding the data and taking quicker actions based on that help create differentiation for the organization to stay ahead! It is used to discover trends [2], patterns, relationships, and anomalies in data, and can help inform the development of more complex models [3].

Exploratory Data Analysis 94

Exploratory Data Analysis Data Analysis Data Analysis EDA 94

Precisely

AUGUST 8, 2023

Data governance is rapidly shifting from a leading-edge practice to a must-have framework for today’s enterprises. Although the term has been around for several decades, it is only now emerging as a widespread practice, as organizations experience the pain and compliance challenges associated with ungoverned data.

Data Governance 52

Data Governance Data Quality Big Data Analytics Big Data Analytics 52

Dataconomy

APRIL 6, 2023

To democratize data, organizations can identify data sources and create a centralized data repository This might involve creating user-friendly data visualization tools, offering training on data analysis and visualization, or creating data portals that allow users to easily access and download data.

Data Governance 118

Data Governance Data Silos Data Analysis Data Analysis 118

Data Science Dojo

JANUARY 31, 2023

Similarly, volatility also means gauging whether a particular data set is historic or not. Usually, data volatility comes under data governance and is assessed by data engineers. Vulnerability Big data is often about consumers. Both Data Mining and Big Data Analysis are major elements of data science.

Big Data 370

Big Data Big Data Data Mining Data Mining 370

Alation

FEBRUARY 20, 2020

One reason is because traditional data governance models conform to an old world of analytics that focus on controlling data access and fail to succeed in the free-flowing world of self-service reporting, BI, and analytics. How Data Catalogs Can Help. Gartner predicts that the global analytics market will grow to $22.8

Data Governance 52

Data Governance Tableau Analytics Analytics 52

Dataconomy

DECEMBER 25, 2024

Data Collection Information is gathered from various sources, including EHRs, patient registries, and administrative records. This creates a detailed dataset that forms the foundation for analysis. Data Analysis Algorithms are applied to detect patterns and trends. million records exposed between January and October 2023.

Analytics 91

Analytics Analytics Predictive Analytics Machine Learning 91

Dataconomy

APRIL 16, 2025

Enhanced customer experience: Provides personalized services based on insightful data analysis. Scalability: Grows alongside organizational data and user demands. Data analysis: Conduct comprehensive analyses, from standard reporting to predictive modeling.

Analytics 91

Analytics Analytics Data Analysis Data Analysis 91

Alation

OCTOBER 28, 2021

This data is also a lucrative target for cyber criminals. Healthcare leaders face a quandary: how to use data to support innovation in a way that’s secure and compliant? Data governance in healthcare has emerged as a solution to these challenges. Uncover intelligence from data. Protect data at the source.

Data Governance 52

Data Governance Database Data Quality Data Classification 52

Data Science Blog

JULY 23, 2023

Companies use Business Intelligence (BI), Data Science , and Process Mining to leverage data for better decision-making, improve operational efficiency, and gain a competitive edge. Databricks is an ideal tool for realizing a Data Mesh due to its unified data platform, scalability, and performance.

Data Science 246

Data Science Azure Power BI Business Intelligence 246

Pickl AI

APRIL 14, 2023

In this blog, we are going to discuss more on What are Data platforms & Data Governance. Key Highlights As our dependency on data increases, so does the need to have defined governance policies also rises. Here comes the role of Data Governance.

Data Governance 52

Data Governance Data Quality Analytics Analytics 52

IBM Data Science in Practice

JANUARY 2, 2025

Building on the foundation of data fabric and SQL assets discussed in Enhancing Data Fabric with SQL Assets in IBM Knowledge Catalog , this blog explores how organizations can leverage automated microsegment creation to streamline data analysis. With this, businesses can unlock granular insights with minimal effort.

SQL 100

SQL Data Quality Data Profiling Data Preparation 100

Dataconomy

MARCH 17, 2025

Augmented analytics is revolutionizing how organizations interact with their data. By harnessing the power of machine learning (ML) and natural language processing (NLP), businesses can streamline their data analysis processes and make more informed decisions.

Augmented Analytics 91

Augmented Analytics Analytics Analytics Natural Language Processing 91

IBM Data Science in Practice

APRIL 26, 2024

In this blog, we explore how the introduction of SQL Asset Type enhances the metadata enrichment process within the IBM Knowledge Catalog , enhancing data governance and consumption. The ability to dynamically edit SQL queries within dynamic views enhances adaptability in data analysis.

SQL 130

SQL Data Quality Data Governance Data Scientist 130

Dataconomy

MARCH 28, 2025

Functionality of decision intelligence platforms Platforms utilizing decision intelligence are designed to streamline data analysis and insight generation. They adopt various techniques to integrate both structured and unstructured data, which is essential for comprehensive analysis.

Data Science 91

Data Science Machine Learning Machine Learning Business Intelligence 91

Dataconomy

MAY 26, 2025

The importance of big data management Efficient big data management is crucial for organizations to: Leverage analytics: Improved analytics enable businesses to make better-informed decisions. Maintain competitive advantage: Data-driven strategies help organizations stay ahead in their industries.

Big Data 91

Big Data Big Data Apache Hadoop Data Quality 91

Dataconomy

APRIL 6, 2023

To democratize data, organizations can identify data sources and create a centralized data repository This might involve creating user-friendly data visualization tools, offering training on data analysis and visualization, or creating data portals that allow users to easily access and download data.

Data Governance 70

Data Governance Data Silos Data Analysis Data Analysis 70

Precisely

OCTOBER 14, 2024

Key Takeaways: Only 12% of organizations report their data is of sufficient quality and accessibility for AI. Data analysis (57%) is the top-cited reason organizations are considering the use of AI. The top data challenge inhibiting the progress of AI initiatives is data governance (62%).

Data Governance 69

Data Governance AI AI Data Analysis 69

Data Science Dojo

JANUARY 13, 2023

The conference brings together business leaders, data analysts, and technology professionals to discuss the latest trends and innovations in data and analytics, and how they can be applied to drive business success. PAW Climate and Deep Learning World.

Data Science 284

Data Science Data Mining Data Mining Data Mining 284

IBM Data Science in Practice

NOVEMBER 28, 2022

Thus, the earlier in the process that data is cleansed and curated, the more time data consumers can reduce in data preparation and cleansing. This leaves more time for data analysis. Let’s use address data as an example.

Data Pipeline 130

Data Pipeline Data Quality Data Preparation Data Governance 130

Tableau

JUNE 11, 2024

Data Management : Enhance data governance and security while simplifying data discovery and connectivity. Data Connect (new): Seamlessly access data across on-premises and private cloud environments in Tableau Cloud. Advanced Management : Manage, secure, and scale mission-critical Tableau deployments.

Tableau 127

Tableau AI AI Analytics 127

IBM Journey to AI blog

MAY 17, 2024

Without knowing what to look for, business analysts can miss critical insights, making dashboards less effective for exploratory data analysis and real-time decision-making. With simpler interfaces that include conversational interfaces, these tools make interacting with data as easy as having a chat.

Exploratory Data Analysis 101

Exploratory Data Analysis Data Analysis Data Analysis Business Intelligence 101

Data Science Dojo

JANUARY 12, 2023

Additionally, unprocessed, raw data is pliable and suitable for machine learning. To find insights, you can analyze your data using a variety of methods, including big data analytics, full text search, real-time analytics, and machine learning. References: Data lake vs data warehouse

Data Lakes 221

Data Lakes Data Warehouse Hadoop Machine Learning 221

Smart Data Collective

NOVEMBER 24, 2020

Business intelligence software will be more geared towards working with Big Data. Data Governance. One issue that many people don’t understand is data governance. It is evident that challenges of data handling will be present in the future too.

Business Intelligence 134

Business Intelligence Business Intelligence Power BI Augmented Analytics 134

Data Science Blog

NOVEMBER 15, 2023

The lower part of the iceberg is barely visible to the normal analyst on the tool interface, but is essential for implementation and success: this is the Event Log as the data basis for graph and data analysis in Process Mining. The creation of this data model requires the data connection to the source system (e.g.

Data Modeling 245

Data Modeling Data Models Business Intelligence Business Intelligence 245

Analytics Vidhya

FEBRUARY 2, 2023

Introduction Data analytics solutions collect, process, and analyze data to extract insights and make informed business decisions. The need for a data analytics solution arises from the increasing amount of data organizations generate and the need to extract value from that data.

Analytics 301

Analytics Analytics Data Visualization Data Analysis 301

Precisely

JULY 1, 2024

This technique is used to determine shopping basket data analysis, product clustering, catalog design , and store layout. Read our eBook Data Governance 101: Moving Past Challenges to Operationalization Learn more about how an enterprise data governance solution can help you solve organizational challenges.

Data Mining 52

Data Mining Data Mining Data Mining Clustering 52

Pickl AI

JUNE 18, 2024

Summary: This blog dives into the most promising Power BI projects, exploring advanced data visualization, AI integration, IoT & blockchain analytics, and emerging technologies. Discover best practices for successful implementation and propel your organization towards data-driven success.

Power BI 52

Power BI Data Analysis Data Analysis Data Visualization 52

Dataconomy

FEBRUARY 23, 2023

They must also ensure that data privacy regulations, such as GDPR and CCPA , are followed. Data engineers play a crucial role in managing and processing big data Ensuring data quality and integrity Data quality and integrity are essential for accurate data analysis.

Big Data 91

Big Data Big Data Data Engineering Data Engineering 91

phData

FEBRUARY 16, 2023

An ACE is a dedicated team or unit within an organization that is responsible for managing and optimizing the use of data and analytics. They will be responsible for leading data-driven projects and initiatives–and for communicating the insights and recommendations derived from data analysis to stakeholders.

Analytics 52

Analytics Analytics Data Analyst Data Governance 52

Pickl AI

DECEMBER 4, 2023

In the realm of Data Intelligence, the blog demystifies its significance, components, and distinctions from Data Information, Artificial Intelligence, and Data Analysis. Key Components of Data Intelligence In Data Intelligence, understanding its core components is like deciphering the secret language of information.

Data Analysis 52

Data Analysis Data Analysis Artificial Intelligence Artificial Intelligence 52

IBM Journey to AI blog

AUGUST 15, 2023

A common phrase you’ll hear around AI is that artificial intelligence is only as good as the data foundation that shapes it. Therefore, a well-built AI for business program must also have a good data governance framework. Doing so allows your organization the ability to scale with trust and transparency.

Artificial Intelligence 93

Artificial Intelligence Artificial Intelligence AI AI 93

Pickl AI

JANUARY 12, 2025

Introduction Are you struggling to decide between data-driven practices and AI-driven strategies for your business? Besides, there is a balance between the precision of traditional data analysis and the innovative potential of explainable artificial intelligence. How do We Integrate Data-driven and AI-driven Models?

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence AI AI 52

Pickl AI

JUNE 23, 2023

Continuous Learning and Iteration Data-centric AI systems often incorporate mechanisms for continuous learning and adaptation. As new data becomes available, the models can be retrained or fine-tuned to improve their performance over time. Also Read: How Can The Adoption of a Data Platform Simplify Data Governance For An Organization?

AI 52

AI AI Data Governance Data Quality 52

IBM Journey to AI blog

JUNE 29, 2023

Integrate data and systems Establish a robust system that integrates data from various sources and systems, such as enterprise resource planning (ERP) systems, customer relationship management (CRM) systems, and supply chain management systems.

Analytics 94

Analytics Analytics Business Intelligence Business Intelligence 94

Alation

FEBRUARY 13, 2020

Staff are encouraged and incentivized to access and analyze data and to share their knowledge about working with data and share the insights that they derive from data. Data Literacy—Many line-of-business people have responsibilities that depend on data analysis but have not been trained to work with data.

Data Governance 52

Data Governance Data Analysis Data Analysis Data Preparation 52

Alation

FEBRUARY 13, 2020

Data catalogs have quickly become a core component of modern data management. Organizations with successful data catalog implementations see remarkable changes in the speed and quality of data analysis, and in the engagement and enthusiasm of people who need to perform data analysis.

Data Lakes 64

Data Lakes Data Analysis Data Analysis Big Data 64