Datapine Blog

NOVEMBER 11, 2021

1) Benefits Of Business Intelligence Software. 2) Top Business Intelligence Features. For a few years now, Business Intelligence (BI) has helped companies to collect, analyze, monitor, and present their data in an efficient way to extract actionable insights that will ensure sustainable growth.

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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

The global business intelligence and analytics software application market is expected to be valued at over $18 billion by 2025. A SWOT analysis can help assess a business unit, product, service, or whole company. A SWOT analysis can help assess a business unit, product, service, or whole company.

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Smart Data Collective

JUNE 10, 2022

The interdisciplinary field of data science involves using processes, algorithms, and systems to extract knowledge and insights from both structured and unstructured data and then applying the knowledge gained from that data across a wide range of applications. Business Intelligence Developer. Machine Learning Scientist.

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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? About Smarten.

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Datapine Blog

JANUARY 21, 2020

Big data plays a crucial role in online data analysis , business information, and intelligent reporting. Spreadsheets no longer provide adequate solutions for a serious company looking to accurately analyze and utilize all the business information gathered. Online business intelligence and reporting are closely connected.

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Smart Data Collective

JANUARY 9, 2023

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. AI (artificial intelligence) software utilizes advanced algorithms and frameworks to allow computers to utilize reason and learn from the data that it comes into contact with.

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Alpha Sense BI

DECEMBER 13, 2022

In the age of data, business intelligence is about more than just having the right information — it’s about uncovering and analyzing the exact crucial insights you need to help inform business decisions, stay ahead of market-moving trends, and keep an edge on the competition. That’s where market analysis tools come in.

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Elegant BI

JULY 10, 2018

This article summarizes our recent article series on the definition, meaning and use of the various algorithms and analytical methods and techniques used in predictive analytics for business users, and in augmented data preparation and augmented data discovery tools. Use Case(s): Weather Forecasting, Fraud Analysis and more.

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Elegant BI

FEBRUARY 16, 2021

Whether your business is a small, single location brick and mortar enterprise or a large, multi-facility organization that spans the global market, you need access to sophisticated, easy-to-use business intelligence tools in order to compete in local, regional and global markets. Original Post : Plug n’?

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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. Your Chance: Want to perform advanced data analysis with a few clicks?

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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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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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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? Advanced Analytics is the logical tool to help a business optimize its investments and achieve its goals.

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Elegant BI

MARCH 8, 2017

What on earth is Plug n’ Play Predictive Analysis? It IS a surprisingly simple business intelligence tool that can help you plan, predict, see patterns and trends and allow the average business user to function at a higher level with concise information that will help users to make good decisions.

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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? About Smarten.

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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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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

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

MAY 19, 2017

Nearly every organization has BI tools, but not every organization takes the Smarten approach to business intelligence. The Smarten approach to business intelligence is reflected in the ElegantJ BI solution and its innovative approach to self-serve BI tools. 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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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.

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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.

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Elegant BI

MAY 22, 2017

To accurately predict and plan, every enterprise must select a business intelligence solution that will support their efforts and provide business users with a rich set of features and tools. Why and how might an enterprise use Plug n’ Play Predictive Analysis?

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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

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

AUGUST 14, 2018

What is the FP Growth Algorithm? Frequent pattern mining (previously known as Association) is an analytical algorithm that is used by businesses and, is accessible in some self-serve business intelligence solutions. This article provides a brief explanation of the FP Growth technique of Frequent Pattern Mining.

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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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Zoominfo

MARCH 28, 2023

From customer insights and lead capture to business intelligence and beyond, a high-quality data flywheel is the essential system that makes efficient growth possible. A strong data management framework combines data governance, quality control, security, analysis and automation to make sure data is both accurate and reliable.

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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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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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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. 5) “Python for Data Analysis: Data Wrangling With Pandas, NumPy and IPython” by Wes McKinney. At present, around 2.7

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Smart Data Collective

JANUARY 27, 2020

The application of Artificial intelligence and Business Intelligence in affiliate marketing has been actively discussed for quite a time. In AI it refers to computer intelligence, while in BI it is about smart decision-making in business influenced by data analysis and visualization. Business Intelligence.

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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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Zoominfo

FEBRUARY 12, 2024

Sales Intelligence: Turning Data Into Decisions To apply data to sales strategy at scale, sales intelligence tools don’t just gather data — they analyze and present it in a way that informs strategic decision-making. Domo : Real-time business intelligence delivered in easy-to-use dashboards, alerts, and reports.

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Elegant BI

JUNE 10, 2022

Obviously, when it comes to your competitive market space, your business does not want to exist in that 68% of the pie chart! Data Privacy to ensure government and industry regulations are in compliance as business users adopt self-serve BI tools. Business Intelligence. Dashboards.

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Smart Data Collective

JUNE 3, 2019

Big Data’s most effective strategies identify business requirements first, and then leverage existing infrastructure, data sources and analytical solutions to support the business opportunity. Customer-focused analysis dominates Big Data initiatives. Variables Financial Industry Uses in its Big Data Algorithms.

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