Smart Data Collective

APRIL 5, 2022

Here at Smart Data Collective, we never cease to be amazed about the advances in data analytics. We have been publishing content on data analytics since 2008, but surprising new discoveries in big data are still made every year. You must have quality control systems in place to get reliable data with drones.

Data Quality 268

Data Quality Big Data Procurement Data Analytics 268

The BAWorld

NOVEMBER 22, 2021

Top Data Analytics terms are explained in this article. Learn these to develop competency in Business Analytics. Data Analytics Terms & Fundamentals. Conformity is a data quality dimension, and it measures how well the data aligns to internal, external, or industry-wide standards.

Data Analytics 98

Data Analytics Data Analytics Data Warehouse Data Modelling 98

Dataversity

JULY 18, 2022

zettabytes of data were created or replicated in 2020 largely due to the dramatic increase in the number of people staying home for work, school, and entertainment. The post How to Overcome the Plateau of Data Analytics Advancement in Today’s Data Overload appeared first on DATAVERSITY. According to the IDC, 64.2

Data Analytics 130

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Analysts Corner

MARCH 9, 2023

Why learning Excel is important for a career working with data Image used with permission from Hemanand Vadivel, Co-founder codebasics.io This article was first published in The Data Pub Newsletter on Substack on January 5, 2023. She is also publisher of “The Data Pub” newsletter on Substack. 3, 2023, I get 45.2 million results.

Data Quality 130

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Smart Data Collective

SEPTEMBER 28, 2022

Data engineering services can analyze large amounts of data and identify trends that would otherwise be missed. If you’re looking for ways to increase your profits and improve customer satisfaction, then you should consider investing in a data management solution. Big data management increases the reliability of your data.

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Big Data Data Management Data Quality Healthcare 262

Smart Data Collective

FEBRUARY 28, 2023

Data analytics technology has had a profound impact on the state of the financial industry. A growing number of financial institutions are using analytics tools to make better investing decisions and insurers are using analytics technology to improve their underwriting processes.

Data Mining 257

Data Mining Finance Data Analytics Data Analytics 257

Astera

MAY 23, 2023

Data-Driven Sports: Unveiling the World of Sports Data Analytics Have you ever wondered how sports teams decide which players to acquire and which strategies to implement? The answer lies in data-driven decision-making. Sports data analytics has become an integral component of the modern sports industry.

Data Analytics 40

Data Analytics Data Analytics Data Security Predictive Analytics 40

Dataversity

MAY 24, 2024

Data extraction is a cornerstone in data analytics, enabling organizations to extract valuable insights from raw data. While basic extraction techniques are fundamental, understanding advanced strategies is crucial for maximizing efficiency and accuracy.

Data Analytics 147

Data Analytics Data Analytics Data Quality Data Governance 147

Data Pine

AUGUST 29, 2022

The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. The rate at which data is generated has increased exponentially in recent years. Essential Big Data And Data Analytics Insights. million searches per day and 1.2

Big Data 105

Big Data Data Analytics Data Analytics Data Mining 105

Smart Data Collective

OCTOBER 13, 2021

There is no disputing the fact that the collection and analysis of massive amounts of unstructured data has been a huge breakthrough. This is something that you can learn more about in just about any technology blog. We would like to talk about data visualization and its role in the big data movement.

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Data Visualization Visualization Big Data Artificial Intelligence 338

Analysts Corner

JUNE 18, 2023

Python, Java, C#) Familiarity with data modeling and data warehousing concepts Understanding of data quality and data governance principles Experience with big data platforms and technologies (e.g., Oracle, SQL Server, MySQL) Experience with ETL tools and technologies (e.g.,

Data Warehouse 130

Data Warehouse Data Quality Documentation Data Governance 130

Dataversity

NOVEMBER 13, 2023

However, most of the data in enterprises is of poor quality, hence the majority of the data and analytics fail. To improve the quality of data, more than 80% of the work in data analytics projects is on data […] The post Managing Missing Data in Analytics appeared first on DATAVERSITY.

Data Analytics 162

Data Analytics Data Analytics Data Quality Data Governance 162

Dataversity

AUGUST 16, 2023

Businesses of all sizes increasingly see the benefits of being data-driven. Various factors have moved along this evolution, ranging from widespread use of cloud services to the availability of more accessible (and affordable) data analytics and business intelligence tools.

Big Data 200

Big Data Business Intelligence Business Intelligence Data Analytics 200

The BAWorld

MAY 14, 2024

If you are preparing for a Data Analytics interview, this article provides you with just the right resource. We have collected the top 20 Data Analyst interview questions and have provided likely answers. General Data Analyst Interview Questions These questions are general questions to check your Data Analytics basics.

Data Analytics 52

Data Analytics Data Analytics E-Commerce Visualization 52

ElegantJ BI

FEBRUARY 14, 2022

The world-renowned technology research firm, Gartner, predicts that, ‘through 2024, 50% of organizations will adopt modern data quality solutions to better support their digital business initiatives’. As businesses consider the options for data analytics, it is important to understand the impact of solution selection.

Business Intelligence 130

Business Intelligence Business Intelligence Data Quality Data Visualization 130

ElegantJ BI

FEBRUARY 14, 2022

The world-renowned technology research firm, Gartner, predicts that, ‘through 2024, 50% of organizations will adopt modern data quality solutions to better support their digital business initiatives’. As businesses consider the options for data analytics, it is important to understand the impact of solution selection.

Business Intelligence 130

Business Intelligence Business Intelligence Data Quality Data Visualization 130

ElegantJ BI

FEBRUARY 14, 2022

The world-renowned technology research firm, Gartner, predicts that, ‘through 2024, 50% of organizations will adopt modern data quality solutions to better support their digital business initiatives’. As businesses consider the options for data analytics, it is important to understand the impact of solution selection.

Business Intelligence 130

Business Intelligence Business Intelligence Data Quality Data Visualization 130

Astera

NOVEMBER 27, 2023

Clean and accurate data is the foundation of an organization’s decision-making processes. However, studies reveal that only 3% of the data in an organization meets basic data quality standards, making it necessary to prepare data effectively before analysis. This is where data profiling comes into play.

Data Mining 52

Data Mining Data Quality Data Governance Business Intelligence 52

Dataversity

APRIL 1, 2022

In the digital age, the success, growth, and maximization of opportunities of an organization depend on insights gained from data.

Business Intelligence 246

Business Intelligence Business Intelligence Data Analytics Data Analytics 246

Smart Data Collective

AUGUST 21, 2019

Many of its competitors are looking for consumer applications in big data, but Sisense has found ways to monetize the commercial needs of big data. Forrester recently named them as a leader in BI data analytics solutions. Companies Need to Understand the importance of choosing the right big data management provider.

E-Commerce 169

E-Commerce Big Data Data Quality Data Management 169

Astera

JULY 18, 2023

Data wrangling tools are powerful solutions designed to simplify and automate the process of data preparation. They enable data professionals to clean, transform, and organize raw data efficiently, saving countless hours of manual work while ensuring data quality and consistency.

Data Quality 52

Data Quality Visualization Data Visualization Documentation 52

Astera

APRIL 24, 2024

They gather, process, and analyze data from diverse sources. From handling modest data processing tasks to managing large and complex datasets, these tools bolster an organization’s data infrastructure. What are Data Aggregation Tools? Zoho Analytics Zoho Analytics offers a platform for data analytics and aggregation.

IBM Support 52

IBM Support IBM Maintenance IBM cost E-Commerce 52

Astera

MAY 6, 2024

Best For: Businesses that require a wide range of data mining algorithms and techniques and are working directly with data inside Oracle databases. Sisense Sisense is a data analytics platform emphasizing flexibility in handling diverse data architectures. Data quality is a priority for Astera.

Data Mining 52

Data Mining Supply Chain Data Quality Visualization 52

Data Pine

NOVEMBER 27, 2019

Businesses of all sizes are no longer asking if they need increased access to business intelligence analytics but what is the best BI solution for their specific business. Companies are no longer wondering if data visualizations improve analyses but what is the best way to tell each data-story.

Business Intelligence 144

Business Intelligence Business Intelligence Artificial Intelligence Data Discovery 144

Astera

MAY 14, 2024

, “Who created the data?” Data Provenance is vital in establishing data lineage, which is essential for validating, debugging, auditing, and evaluating data quality and determining data reliability. Data provenance is what adds depth to this trail. and “Why was it created?

Supply Chain 52

Supply Chain Data Quality Artificial Intelligence Cybersecurity 52

BA Squared

SEPTEMBER 25, 2020

Note: This blog post is an update to a previous blog post Five High-Impact Questions Every BA Should Be Using. It’s been updated to address how we are working right now. The Current Situation.

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Data Pine

JANUARY 24, 2021

This can include a multitude of processes, like data profiling, data quality management, or data cleaning, but we will focus on tips and questions to ask when analyzing data to gain the most cost-effective solution for an effective business strategy. Now, with Data Dan, you only get to ask him three questions.

Data Visualization 126

Data Visualization Data Analytics Data Analytics Data Quality 126

Astera

APRIL 7, 2023

A robust data warehouse architecture does everything in data management—including ETL (extraction, transformation, loading)—while ensuring data quality, consistency, speedy retrieval, and enhanced security at all times. Improving Data Quality and Consistency Quality is essential in the realm of data management.

Data Warehouse 52

Data Warehouse Healthcare Data Management Data Quality 52

Astera

MAY 14, 2024

This metadata variation ensures proper data interpretation by software programs. Process metadata: tracks data handling steps. It ensures data quality and reproducibility by documenting how the data was derived and transformed, including its origin. Interrelation between metadata and other applications.

Government 52

Government Data Governance Master Data Management Documentation 52

Dataversity

APRIL 20, 2022

Data analytics and AI play an increasingly pivotal role in most modern organizations. To keep those initiatives on track, enterprises must roll out Data Governance programs to ensure data integrity, compliance, and optimal business value.

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The BAWorld

NOVEMBER 26, 2021

Like a detective, we dig deep into piles of data to find clues that will aid the actual data analysis. In this blog, I have shared my understanding of the exploratory data analysis steps and tried to catch hold of as many insights from the data set using EDA. Get insights into the data summary.

Data Mining 52

Data Mining Data Quality Visualization Planning 52

Astera

NOVEMBER 1, 2023

As the financial services sector grapples with an ever-expanding volume of data and increasingly stringent compliance demands, the need for a holistic approach to data governance is undeniable. Regulatory Landscape and Compliance Requirements in Financial Services Data governance and compliance are related but distinct concepts.

Data Governance 40

Data Governance Government Data Quality Banking 40

Dataversity

MAY 5, 2022

Synthetic data has emerged as a technological solution for organizations struggling with data access and privacy compliance. As a privacy-enhancing technology, it has grown in popularity over the past years, with new predictions forecasting that by 2024, 60% of data used for AI and data analytics will be synthetic.

Data Analytics 130

Data Analytics Data Analytics Data Governance Data Quality 130

Astera

SEPTEMBER 28, 2023

It’s one of many ways organizations integrate their data for business intelligence (BI) and various other needs, such as storage, data analytics, machine learning (ML) , etc. ETL provides organizations with a  single source of truth  (SSOT) necessary for accurate data analysis. What is Reverse ETL?

Data Warehouse 52

Data Warehouse Data Quality E-Commerce Real-time Data 52

Dataversity

JANUARY 5, 2022

In today’s world, mastering data, analytics, and advanced technologies has become a primary driver of business strategy, providing organizations with unlimited possibilities to increase business […]. The post Leading Disruption in 2022: AI, Data Privacy Concerns, and Developer Relations appeared first on DATAVERSITY.

Innovation 130

Innovation Data Analytics Data Analytics Digital 130

Astera

APRIL 7, 2023

However, with massive volumes of data flowing into organizations from different sources and formats, it becomes a daunting task for enterprises to manage their data. That’s what makes Enterprise Data Architecture so important since it provides a framework for managing big data in large enterprises.

Data Architecture 52

Data Architecture Supply Chain Data Governance Data Quality 52

Astera

APRIL 7, 2023

However, with massive volumes of data flowing into organizations from different sources and formats, it becomes a daunting task for enterprises to manage their data. That’s what makes Enterprise Data Architecture so important since it provides a framework for managing big data in large enterprises.

Data Architecture 52

Data Architecture Supply Chain Data Governance Data Quality 52