Smart Data Collective

FEBRUARY 28, 2022

The implications of big data is more obvious in some industries than others. For example, we can all appreciate the tremendous changes that data science has created for the financial industry, healthcare and web design. Use Data Analytics to Craft the Perfect Social Media Management Strategy.

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Astera

MAY 6, 2024

What Is Data Mining? Data mining , also known as Knowledge Discovery in Data (KDD), is a powerful technique that analyzes and unlocks hidden insights from vast amounts of information and datasets. What Are Data Mining Tools? Type of Data Mining Tool Pros Cons Best for Simple Tools (e.g.,

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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.

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Analysts Corner

OCTOBER 26, 2023

Data Analysis: The data analysis component of BI involves the use of various tools and techniques to explore, analyze, and visualize the data, enabling users to derive valuable insights and make informed decisions.

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The BAWorld

NOVEMBER 5, 2024

These mind-boggling figures has given rise to the term “Big Data” and “Big Data Analytics” Some other post for “Big Data”!! Making sense of the data in its raw format will be extremely difficult.

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The BAWorld

FEBRUARY 4, 2021

Business data analytics is an area of study that targets effective business decision-making as opposed to using the rigorous technical know-how through which data is analyzed. Basic skills in statistics and a basic understanding of data science tools and technologies and data analytics. About Techcanvass.

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Sisense

AUGUST 19, 2020

Disrupting Markets is your window into how companies have digitally transformed their businesses, shaken up their industries, and even changed the world through the use of data and analytics. The use of big data analytics and cloud computing has spiked phenomenally during the last decade.

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Marutitech

DECEMBER 17, 2021

Read how machine learning can boost predictive analytics. Top 5 Predictive Analytics Models. With the advancements in technology, data mining, and machine learning tools, several types of predictive analytics models are available to work with. How to Select an Algorithm for Predictive Analytics Model?

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GAVS Technology

SEPTEMBER 2, 2021

Hence, Big Data can now be referred to as unstructured data which is not in conformance with enterprise business rules, quality constraints and formats. While Big Data analytics will continue to grow in enterprises to provide more insights to businesses, we have spotted a different trend.

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Astera

NOVEMBER 27, 2023

It’s a method used to diagnose the data’s health by thoroughly examining its structure, content, and relationships. It ensures that the data is accurate, consistent, and unique before it’s used for ETL and data analytics. It can also highlight patterns, rules, and trends within the data.

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Marutitech

FEBRUARY 23, 2022

Predictive analytics is one of these practices. Predictive analytics refers to the use of machine learning algorithms and statistics to predict future outcomes and performances. Determining your primary marketing goals and customers is a critical use case for predictive analytics. Healthcare Diagnosis.

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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.

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The BAWorld

OCTOBER 17, 2024

What are the different usages of data warehouses? Mark my words and you will have a clear understanding of data warehouse, by the end of this article! This all happens in real time using the data from DW thereby protecting customers from fraud and reducing financial losses.

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Data Pine

MARCH 25, 2022

Well, what if you do care about the difference between business intelligence and data analytics? The most straightforward and useful difference between business intelligence and data analytics boils down to two factors: What direction in time are we facing; the past or the future? How Does This Work In Business?

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Data Pine

MARCH 31, 2022

With analytical and business intelligence competencies, you can also choose to work with specific types of firms or companies operating within a particular niche or industry. Being numbers and data-driven: There are many expectations when it comes to working with BI and data analytics.

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The BAWorld

NOVEMBER 8, 2024

Data is a crucial asset for any industry, including finance, healthcare, social media, energy, retail, real estate, and manufacturing, hence understanding how to evaluate it is crucial. But the data itself would be meaningless, unstructured, and unfiltered. What is Business Analytics? Let’s head into the article!

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Astera

AUGUST 5, 2024

What is Business Analytics? Business analytics is analyzing data to find insights that inform business decisions. Fundamentally, it involves applying data analytics tools and techniques to a business setting to simplify decision-making and improve business outcomes.

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Insight Software

MAY 1, 2023

By Industry Businesses from many industries use embedded analytics to make sense of their data. In a recent study by Mordor Intelligence , financial services, IT/telecom, and healthcare were tagged as leading industries in the use of embedded analytics. Healthcare is forecasted for significant growth in the near future.

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Insight Software

MAY 9, 2024

A data pipeline is a series of processes that move raw data from one or more sources to one or more destinations, often transforming and processing the data along the way. Data pipelines support data science and business intelligence projects by providing data engineers with high-quality, consistent, and easily accessible data.

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