Smart Data Collective

JUNE 4, 2021

Here are the chronological steps for the data science journey. First of all, it is important to understand what data science is and is not. Data science should not be used synonymously with data mining. Mathematics, statistics, and programming are pillars of data science. The Fundamentals. Mathematics.

E-Commerce 267

E-Commerce Cloud Computing Big Data Data Modelling 267

GAVS Technology

DECEMBER 2, 2020

The benefits are obvious and individual hospitals may add more points to the above list; the rest of the article is about how to perform the patient segmentation using data mining techniques. Data Mining for Patient Segmentation. FBG: Fasting Plasma Glucose test measures the amount of glucose levels present in the blood.

Data Mining 52

Data Mining Healthcare Banking Retail 52

Data Pine

MAY 14, 2019

“Big data is at the foundation of all the megatrends that are happening.” – Chris Lynch, big data expert. We live in a world saturated with data. At present, around 2.7 Zettabytes of data are floating around in our digital universe, just waiting to be analyzed and explored, according to AnalyticsWeek.

Artificial Intelligence 140

Artificial Intelligence Big Data Business Intelligence Business Intelligence 140

Data Pine

OCTOBER 25, 2022

That said, we’ve selected 16 of the world’s best business intelligence books – invaluable resources that have not only earned a great deal of critical acclaim but are what we consider to be wonderfully presented, incredibly informational, and decidedly digestible. click for book source**.

Business Intelligence 117

Business Intelligence Business Intelligence Big Data Data Mining 117

Marutitech

DECEMBER 17, 2021

With the advancements in technology, data mining, and machine learning tools, several types of predictive analytics models are available to work with. The model can analyze the unusual data either by itself or by combining it with other categories and numbers present. Top 5 Predictive Analytics Models.

Predictive Analytics 140

Predictive Analytics Data Mining Finance Data Analytics 140

Sisense

MAY 11, 2021

In determining how we wanted to merge these data stacks and how we wanted to model our data, we also revisited our data strategy to consider what we as a data team were striving to achieve within the business. The right data model + artificial intelligence = augmented analytics. Dig into AI.

Data Modelling 84

Data Modelling Big Data Data Analytics Data Analytics 84

Data Pine

MARCH 25, 2022

There is not a clear line between business intelligence and analytics, but they are extremely connected and interlaced in their approach towards resolving business issues, providing insights on past and present data, and defining future decisions. What Is Business Intelligence And Analytics?

Business Intelligence 105

Business Intelligence Business Intelligence E-Commerce Predictive Analytics 105

Astera

MAY 30, 2024

With today’s technology, data analytics can go beyond traditional analysis, incorporating artificial intelligence (AI) and machine learning (ML) algorithms that help process information faster than manual methods. Data analytics has several components: Data Aggregation : Collecting data from various sources.

Data Analytics 52

Data Analytics Data Analytics Data Mining Supply Chain 52

Sisense

APRIL 26, 2020

Key points to keep in mind about semi-structured data: Falls under the heading of unstructured data, but it has some lower-degree organization (still falls short of relational databases) Can be coerced into useful and easy-to-leverage table formats Examples of semi-structured data include XML, JSON, Emails, NoSQL DBs, event tracking, and web pages.

Data Warehouse 52

Data Warehouse Data Mining Artificial Intelligence Visualization 52

Data Pine

JANUARY 24, 2021

Methods like artificial neural networks (ANN) and autoregressive integrated moving average (ARIMA), time series, seasonal naïve approach, and data mining find wide application in data analytics nowadays. We’ve already explained them and recognized them as one of the biggest business intelligence trends for 2021.

Data Visualization 126

Data Visualization Data Analytics Data Analytics Data Quality 126

Marutitech

JUNE 30, 2022

You can then visualize the data structure as a multidimensional map in which groups of entities form clusters of a different kind. Cluster algorithms in data mining are often shown as a heatmap, where items close together have similar values, and those far apart have very different values. 9 Most Common Types of Clustering.

Predictive Analytics 52

Predictive Analytics Data Mining Logistics Vision 52

Data Pine

MARCH 31, 2022

To simplify things, you can think of back-end BI skills as more technical in nature and related to building BI platforms, like online data visualization tools. Front-end analytical and business intelligence skills are geared more towards presenting and communicating data to others.

Business Intelligence 95

Business Intelligence Business Intelligence Data Visualization Visualization 95

Astera

AUGUST 5, 2024

Data Visualization Once the analysis is complete, the results are interpreted to generate findings relevant to the business. Data visualization presents these findings in a clear and understandable format: Creating Visuals : Representing analysis results with charts, graphs, and dashboards. ” and “How did it happen?

Supply Chain 40

Supply Chain Logistics Visualization Predictive Analytics 40

Astera

JULY 13, 2023

Step 4: Data Enrichment Once the data is cleaned, it is enriched with additional information that can enhance its value. This can include information from external sources, such as demographic or geographic data, or data generated through data mining techniques.

Artificial Intelligence 40

Artificial Intelligence Data Analytics Data Analytics Data Mining 40

Data Pine

AUGUST 29, 2022

Each of the three parts starts with chapters that are theoretical and finishes with more practical ones to make sense of all the concepts and knowledge previously presented, which is something that readers really enjoy about Nathan Marz’s work. The author, Anil Maheshwari, Ph.D.,

Big Data 105

Big Data Data Analytics Data Analytics Data Mining 105

The BAWorld

NOVEMBER 22, 2021

Imputing is the process of replacing null or blank values in the data set with meaningful values like mean, median, previous, next value, most frequent, etc., Machine Learning is a branch of artificial intelligence based on the idea that systems/models can learn from data, identify patterns, and make decisions with minimal human intervention.

Data Analytics 98

Data Analytics Data Analytics Data Warehouse Data Modelling 98

Data Pine

NOVEMBER 27, 2019

The rise of self-service analytics democratized the data product chain. 2019 was a particularly major year for the business intelligence industry. The trends we presented last year will continue to play out through 2020. It will also be a year of collaborative BI and artificial intelligence.

Business Intelligence 144

Business Intelligence Business Intelligence Artificial Intelligence Data Discovery 144

Insight Software

MAY 1, 2023

Users Want to Help Themselves Data mining is no longer confined to the research department. Today, every professional has the power to be a “data expert.” Discuss, don’t present. Present your business case. To support your case, present findings from the State of Embedded Analytics study.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52

Insight Software

MAY 9, 2024

EDA is a crucial first step in any data science project, as it helps data scientists gain insights into the data and informs further analysis or modeling. Machine learning algorithms can automatically detect and correct data anomalies, inconsistencies, and missing values, leading to higher data quality within the pipeline.

IBM Maintenance 52

IBM Maintenance Data Warehouse IBM Support Real-time Data 52