Analysts Corner

FEBRUARY 23, 2023

Business analysts are responsible for interpreting and analyzing data, and providing recommendations based on their findings to help organisations achieve their goals. The field of business analytics is diverse, and there are many different areas of specialisation, including data mining, predictive modeling, and data visualisation.

Supply Chain 130

Supply Chain Healthcare Logistics Finance 130

Smart Data Collective

FEBRUARY 4, 2021

They can use data mining algorithms to find potential deductions and screen your tax records to see if you qualify. You can turn to local suppliers to purchase raw material or switch to a different logistics company. A lot of machine learning tools have made it easier to do your taxes. Set Payment Terms with Debtors.

Data Analytics 353

Data Analytics Data Analytics Big Data Banking 353

The BAWorld

MAY 14, 2024

Write some key skills usually required for a data analyst. Key skills for data analyst: Python/R language SQL Excel (pivoting, formulas etc) Machine Learning Statistics Data Mining PowerBI / Tableau / QlikView Problem-Solving Critical Thinking Communication Domain knowledge like finance, e-commerce, banking, healthcare, Insurance etc 6.

Data Analytics 52

Data Analytics Data Analytics E-Commerce Visualization 52

Whizlabs

APRIL 7, 2021

Data science now has broad implications in a variety of fields including theoretical and applied research areas such as computer perception, speech recognition, and advanced economics, as well as fields such as healthcare, social science, and medical informatics. Elections for the student council.

Logistics 52

Logistics Data Mining Big Data Healthcare 52

Marutitech

FEBRUARY 23, 2022

Technique likes data mining, and predictive modeling estimates the likelihood of future outcomes and alerts you about upcoming events to help you make decisions. Key Industries : Automotive, Logistic & Transportation, Oil & Gas, Manufacture, Utilities. 6. Predictive analytics is one of these practices. Risk Modeling.

Predictive Analytics 92

Predictive Analytics Supply Chain Pharmaceutical Retail 92

Sisense

APRIL 10, 2020

These libraries are used for data collection, analysis, data mining, visualizations, and ML modeling. When we say “modeling” in data science, we mean teaching a program to learn from training data using machine learning algorithms. Python has 200+ standard libraries and nearly infinite third-party libraries.

Visualization 98

Visualization Artificial Intelligence Data Mining Logistics 98

Smart Data Collective

DECEMBER 16, 2021

They are also using data analytics tools to help streamline many logistical processes and make sure supply chains operate more efficiently. Many of these third-party organizations offer invaluable analytics capabilities, which can help address countless logistical issues. Performing Vulnerability Assessment.

Supply Chain 318

Supply Chain Cybersecurity Logistics Procurement 318

Data Pine

OCTOBER 10, 2019

When it comes to creating dashboards that not only speak to your audience but also help to develop your business in a number of vital areas, telling a compelling story (or giving your user the tools to tell others a compelling story) with your data is essential. Logistics Example. Media Example.

Retail 58

Retail Visualization Logistics Real-time Data 58

BizAcuity

MARCH 31, 2022

Combined, it has come to a point where data analytics is your safety net first, and business driver second. As a result, finance, logistics, healthcare, entertainment media, casino and ecommerce industries witness the most AI implementation and development. These industries accumulate ridiculous amounts of data on a daily basis.

Artificial Intelligence 130

Artificial Intelligence Data Analytics Data Analytics Predictive Analytics 130

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

AUGUST 29, 2022

An excerpt from a rave review : “I would definitely recommend this book to everyone interested in learning about data from scratch and would say it is the finest resource available among all other Big Data Analytics books.”. If we had to pick one book for an absolute newbie to the field of Data Science to read, it would be this one.

Big Data 105

Big Data Data Analytics Data Analytics IBM Maintenance 105

The BAWorld

NOVEMBER 22, 2021

Data migration refers to transferring data from one system to another while changing the storage, database, or application. Data Mining. Data mining is a subset of business analytics that looks for patterns, associations, correlations, or anomalies existing in large data sets to gain insights or solve business problems.

Data Analytics 98

Data Analytics Data Analytics Data Warehouse Data Modelling 98

GlowTouch

JULY 6, 2021

Supply chain issues The pandemic exposed serious flaws in logistics, starting with the struggle to maintain adequate stocks of Personal Protective Equipment (PPE). The issue here is, who will sift through the data to look for trends and then convert findings into actionable insight?

Healthcare 52

Healthcare Supply Chain Innovation Artificial Intelligence 52