Smart Data Collective

OCTOBER 8, 2023

It is an interdisciplinary field, combining computer science, statistics , mathematics, and business intelligence. This involves data collection , data cleaning, data analysis, and data interpretation. Data Analysis The cleaned data is then analyzed using various statistical techniques and algorithms.

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mention

NOVEMBER 2, 2022

It’s a framework that helps organizations identify internal and external factors that may impact their business. The global business intelligence and analytics software application market is expected to be valued at over $18 billion by 2025. What Is SWOT Analysis? Components of SWOT Analysis. Weaknesses.

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Elegant BI

AUGUST 14, 2018

This article provides a brief definition of the multinomial-logistic regression classification algorithm and its uses and benefits. What is the Multinomial-Logistic Regression Classification Algorithm? How Does One Use the Multinomial-Logistic Regression Classification Algorithm? Use Case – 2.

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Smart Data Collective

JANUARY 9, 2023

In today’s world, data is more widely available to businesses than ever before. The answer lies in the utilization of AI and machine learning technology to assist with all of the steps associated with using data from collection to analysis. The AI and Machine Learning Approach to Utilizing Data.

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Elegant BI

JANUARY 31, 2019

Many organizations have grown comfortable with their business intelligence solution, and find it difficult to justify the need for advanced analytics. How is Advanced Analytics Different from Business Intelligence?

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Elegant BI

APRIL 24, 2019

Let’s take a closer look at Augmented Analytics and talk about why it has gotten so much attention in the business intelligence world. The augmented analytics approach provides tools for better clarity and insight into and, as this approach evolves, it continues to change and disrupt the more traditional forms of analysis.

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Athena Solutions BI

MARCH 4, 2024

As the data and analytics space evolves and the significance of data science in business grows, many organizations need a safe environment to connect their data to the real world. Traditional data warehousing and business intelligence processes often take time to respond. What is an Analytical Sandbox?

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Athena Solutions BI

MARCH 4, 2024

As the data and analytics space evolves and the significance of data science in business grows, many organizations need a safe environment to connect their data to the real world. Traditional data warehousing and business intelligence processes often take time to respond. What is an Analytical Sandbox?

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Datapine Blog

JANUARY 24, 2021

In our cutthroat digital age, the importance of setting the right data analysis questions can define the overall success of a business. That being said, it seems like we’re in the midst of a data analysis crisis. That being said, it seems like we’re in the midst of a data analysis crisis.

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IT Business Edge

JULY 5, 2022

The centerpiece of the announcement is that the software giant “will retire facial analysis capabilities that purport to infer emotional states and identity attributes such as gender, age, smile, facial hair, hair, and makeup.” Moving Away from Facial Analysis. Also read: What Does Explainable AI Mean for Your Business?

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Smart Data Collective

OCTOBER 26, 2023

These platforms offer robust capabilities for managing tickets and customer requests, making them indispensable tools for various businesses and organizations. Both of these platforms have complex analytics algorithms that help technical support professionals offer higher quality service. Zendesk offers robust reporting capabilities.

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Elegant BI

AUGUST 10, 2018

This article provides a brief explanation of the KMeans Clustering algorithm. What is the KMeans Clustering algorithm? Once the algorithm has been run and the groups are defined, any new data can be easily assigned to the correct group. How Does an Enterprise Use the KMeans Clustering Algorithm to Analyze Data?

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Elegant BI

FEBRUARY 28, 2014

Dashboard Software and Business Intelligence For Every User. If you want your business to be successful today and tomorrow you must accurately forecast the market, competition and buying behavior of customers. Predict your future with Business Intelligence Forecasting. Get in touch with us to know more.

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Elegant BI

SEPTEMBER 23, 2021

The algorithm tends to achieve the same accuracy ratio even with smaller data. Let’s look at an example of Multilayer perceptron analysis, involving the potential for opportunity results, based on factors like Revenue, Total days(qualified), Total. How is a Multilayer Perceptron Classifier Used in Analysis? Business Use Case 1.

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Smart Data Collective

JUNE 8, 2023

The introduction of data collection and analysis has revolutionized the way teams and coaches approach the game. It has transformed into an arena where data-driven decisions and analysis play a pivotal role. The Role of Data Collection in Game Analysis Data collection in football serves as a powerful tool for game analysis.

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Elegant BI

FEBRUARY 18, 2020

Data Analytics and Business Analytics: An Integrated Approach! What’s the difference between business analytics and data analytics? Data Analytics is a process that is used as part of the Business Analytics environment to monitor and manage the business.

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Smart Data Collective

SEPTEMBER 16, 2020

Predictive analytics, sometimes referred to as big data analytics, relies on aspects of data mining as well as algorithms to develop predictive models. These statistical models are growing as a result of the wide swaths of available current data as well as the advent of capable artificial intelligence and machine learning.

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Elegant BI

JUNE 5, 2017

Your Business Will Soar with Self-Serve Data Prep & Predictive Analysis Software. If your organization is implementing self-serve business intelligence, it is important to balance sophisticated tools with the skills of the average business user.

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Elegant BI

OCTOBER 16, 2018

What is SVM Classification Analysis? SVM Classification Analysis can be used for many analytical tasks: Credit/Loan Approval Analysis – Given a list of client transactional attributes, a business can predict whether a client will default on a loan. How Can SVM Classification Analysis Benefit Business Analytics?

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Elegant BI

MAY 19, 2017

Nearly every organization has BI tools, but not every organization takes the Smarten approach to business intelligence. Self-Service Data Preparation allows business users to perform data preparation and test theories and hypotheses by prototyping on their own. Find out more about Smarten now!

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Elegant BI

OCTOBER 18, 2018

In this article, we will discuss the KNN Classification method of analysis. What is the KNN Classification Algorithm? The KNN (K Nearest Neighbors) algorithm analyzes all available data points and classifies this data, then classifies new cases based on these established categories. How Can KNN Classification Help an Enterprise?

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Elegant BI

MAY 22, 2017

To be successful in business, every organization must find a way to accurately forecast and predict the future of its market, and its internal operations, and better understand the buying behavior of its customers and prospects. Why and how might an enterprise use Plug n’ Play Predictive Analysis?

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Elegant BI

JANUARY 7, 2016

There is perhaps no more important planning process than the process that supports business financials. Today’s accounting, finance and investment professionals must find a way to address and understand an ever-changing business environment. There is no time or tolerance in today’s business environs for reactive techniques.

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Elegant BI

NOVEMBER 10, 2021

A recent Gartner report states that, natural language processing and conversational analytics will boost analytics and business intelligence adoption from 35% of employees to over 50%, including new classes of users, particularly front-office workers.

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Elegant BI

OCTOBER 17, 2018

This article looks at the ARIMAX Forecasting method of analysis and how it can be used for business analysis. For more information about data trend and pattern analysis techniques, read our article entitled, ‘ What Are Data Trends and Patterns, and How Do They Impact Business Decisions?’ About Smarten.

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Dataversity

MAY 19, 2022

In my previous blog post, I described some concrete techniques and surveyed some early approaches to artificial intelligence (AI) and found that they still offer attractive opportunities for improving the user experience. Regression Analysis Regression […]. The post What Can Artificial Intelligence Do for Me?

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Elegant BI

FEBRUARY 5, 2019

BI dashboard is no longer the sole domain of a business intelligence analyst or data scientist. When a business implements a mobile, self-serve BI tool, it ensures that its business users and team members will have access to critical analytical tools in the office and on the road.

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Datapine Blog

MAY 14, 2019

By gaining the ability to understand, quantify, and leverage the power of online data analysis to your advantage, you will gain a wealth of invaluable insights that will help your business flourish. At present, around 2.7 Exclusive Bonus Content: The top books on data science summarized! Wondering which data science book to read?

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Elegant BI

AUGUST 14, 2018

For more information about data trend and pattern analysis techniques, read our article entitled, ‘ What Are Data Trends and Patterns, and How Do They Impact Business Decisions?’ Let’s look at an example of a monthly analysis of monthly index values. This analysis also helps to balance supply and demand for the drug.

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Elegant BI

JUNE 10, 2022

According to a West Monroe Partners’ survey, 68% of business and technology leaders surveyed don’t believe their competitors are leveraging data successfully. Obviously, when it comes to your competitive market space, your business does not want to exist in that 68% of the pie chart!

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Elegant BI

FEBRUARY 24, 2021

Business Users Don’t Have to Be Data Scientists (But Basic Knowledge is Great). When you launch an analytics solution within your enterprise, you are probably concerned about getting your business users to adopt that solution. If you can’t engage the business user and achieve user adoption, your return on investment (ROI) will be poor!

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Elegant BI

NOVEMBER 19, 2018

Today’s self-serve predictive analytics and forecasting tools are designed to support business users and data analysts alike. Predictive analytics is the process of forecasting or predicting business results for planning purposes. Can Predictive Analytics Help You Achieve Business Objectives? What is Predictive Analytics?

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Smart Data Collective

JUNE 3, 2019

The banking and financial services business is replete with transactions, hundreds of millions of them a day, each adding a new row to the industry’s vast ocean of data. Customer-focused analysis dominates Big Data initiatives. Variables Financial Industry Uses in its Big Data Algorithms. Here are the main approaches.

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Elegant BI

NOVEMBER 14, 2017

Those terms strike terror in the hearts of most business users, and that is understandable. These mysterious-sounding terms sound complicated and lead business users to imagine confounding, confusing algorithms, and endless strings of numbers. Your business users aren’t data scientists or analysts.

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Elegant BI

MARCH 15, 2021

How Can I Make It Easier For Business Users To Perform Analytics? When a business wants to roll out advanced analytics to its business users, it must consider the average skill level and understanding of analytical techniques and ensure that the solution it chooses will support its project goals.

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Elegant BI

OCTOBER 18, 2018

This article will focus on the Naïve Bayes Classification method of analysis. Naive Bayes is a classification algorithm that is suitable for binary and multiclass classification. How Can Naïve Bayes Be Used for Enterprise Analysis? a business can predict the likelihood of fraud. What is Naïve Bayes Classification?

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Elegant BI

JANUARY 15, 2019

How Can I Leverage Assisted Predictive Modeling to Benefit My Business? No complex algorithms or data manipulation. Auto-recommendations for algorithms to explore underlying data without advanced knowledge. Analyze, share and optimize business potential. Support for day-to-day business decisions.

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