Smart Data Collective

JUNE 8, 2023

We have talked extensively about the many industries that have been impacted by big data. many of our articles have centered around the role that data analytics and artificial intelligence has played in the financial sector. However, many other industries have also been affected by advances in big data technology.

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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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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. As organizations are flooded with a wealth of data, their traditional systems fail to deliver the insights.

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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. As organizations are flooded with a wealth of data, their traditional systems fail to deliver the insights.

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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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Datapine Blog

MAY 14, 2019

Zettabytes of data are floating around in our digital universe, just waiting to be analyzed and explored, according to AnalyticsWeek. 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.

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Elegant BI

JANUARY 7, 2016

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

FEBRUARY 18, 2020

Business Analytics incorporates the skills, technologies, processes and practices to explore and understand exploration historical business performance and use that insight for business planning and issue resolution. If your business needs simple, intuitive Business Intelligence and Analytics Tools , Contact Us now.

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IBI

MARCH 15, 2021

The sheer volume of data is staggering, but the core challenge of data integration is to effectively and accurately match similar data coming from disparate sources or labeled slightly differently. That makes categorization and data analysis time-consuming, inefficient, and unwieldy.

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Elegant BI

JANUARY 3, 2019

Citizen Analysts (AKA Citizen Data Scientists) represent a new breed of business user. By definition, Citizen Analysts are not data scientists, or professional analysts or IT staff. Enter, the Citizen Analyst! What is a Citizen Analyst?

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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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Netbasequid

JANUARY 4, 2023

Creatives and entertainment industry experts are torn about the inevitable adoption of advanced AI and data analysis capabilities. They don’t want an algorithm telling them how to tell a story—and are doubtful it can. The entertainment industry has begun moving beyond it, but that skepticism remains.

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Datapine Blog

APRIL 14, 2022

When you think of big data, you usually think of applications related to banking, healthcare analytics , or manufacturing. After all, these are some pretty massive industries with many examples of big data analytics, and the rise of business intelligence software is answering what data management needs.

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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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IT Business Edge

JUNE 20, 2022

Jump to: Machine Learning 101 Python Libraries and Tools Training a Machine Learning Algorithm with Python Using the Iris Flowers Dataset. Machine learning (ML) is a form of artificial intelligence (AI) that teaches computers to make predictions and recommendations and solve problems based on data. Machine Learning 101.

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Elegant BI

JUNE 12, 2017

If your organization is like most businesses, your IT and analytical resources are limited and you want those resources to focus on the work that is most crucial and requires their professional attention. To create Citizen Data Scientists, you need only give your business users the right analytical tools.

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Elegant BI

MARCH 18, 2021

Outliers, also referred to as anomaly, exception, irregularity, deviation, oddity, arise in data analysis when the data records differ dramatically from the other observations. In layman’s terms, an outlier can be interpreted as any value that is numerically far-flung from most of the data points in a sample of data.

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Elegant BI

MARCH 13, 2019

There is no reason to limit access to data preparation software or advanced predictive analytics to data scientists, analysts and IT staff. Augmented Analytics Tools include Smart Data Visualization with recommendations on how best to visualize data based on data type, etc.,

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Datapine Blog

NOVEMBER 11, 2021

1) Benefits Of Business Intelligence Software. 2) Top Business Intelligence Features. a) Data Connectors Features. billion , paired with the fact that 33% of large-sized businesses will practice decision intelligence by 2023. Your Chance: Want to take your data analysis to the next level?

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Datapine Blog

JANUARY 21, 2020

Big data plays a crucial role in online data analysis , business information, and intelligent reporting. Companies must adjust to the ambiguity of data, and act accordingly. Let’s get started by asking the question “ What is business intelligence reporting?”. What Is BI Reporting?

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Alpha Sense BI

DECEMBER 6, 2023

In 2023, we saw loud and clear that the advancement of sophisticated technologies like data analytics and generative artificial intelligence (genAI) are not slowing demand for consulting services. On the platform, you can instantly surface the key insights you need to win more business and deliver better client services.

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Elegant BI

FEBRUARY 8, 2021

Your dataset will look as follows: Perform Elementary Data Analysis from Dataset: From the dataset, we can see that our dataset contains many attributes/features upon which our target variable (i.e. In order to select the best category of algorithm, users need to have some basic data literacy. churn) depends.

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Elegant BI

DECEMBER 4, 2017

To be a positive asset to the business, your business users must be able to accurately plan and forecast everything from budgetary needs to team members and resources, new suppliers, new locations, new products, etc. Contact us and find out how easily and quickly you can satisfy your data preparation and data analysis needs.

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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. Two word-combinations, both consist of two words and have “intelligence” as a common one. When in fact, it is not the same intelligence. Business Intelligence.

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Datapine Blog

OCTOBER 21, 2020

One of the key data sets is 10 years’ worth of hospital admissions records, which data scientists crunched using “time series analysis” techniques. Then, they could use machine learning to find the most accurate algorithms that predicted future admissions trends. 2) Electronic Health Records (EHRs).

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Smart Data Collective

OCTOBER 14, 2019

Also, you don’t have to become a Kubernetes expert to use it for data science. It’s a powerful framework that you can apply whether you’re creating machine learning algorithms to work with data or want to use analytics to solve business problems. In short, it makes big data analysis more accessible.

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Datapine Blog

JULY 1, 2020

quintillion bytes of data every single day, with 90% of the world’s digital insights generated in the last two years alone, according to Forbes. In this day and age, a failure to leverage digital data to your advantage could prove disastrous to your business – it’s akin to walking down a busy street wearing a blindfold.

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Datapine Blog

AUGUST 29, 2022

Whether you are a complete novice or a seasoned BI professional, you will find here some books on data analytics that will help you cultivate your understanding of this essential field. As of this moment, just 5% of all accessible data is analyzed and used – just think of the potential. The author, Anil Maheshwari, Ph.D.,

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Elegant BI

MAY 31, 2021

Smarten Insight provides predictive modelling capability and auto-recommendations and auto-suggestions to simplify use and allow business users to leverage predictive algorithms without the expertise and skill of a data scientist. In order to select the best category of algorithm, users need to have some basic data literacy.

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Datapine Blog

NOVEMBER 19, 2019

No matter if you need to conduct quick online data analysis or gather enormous volumes of data, this technology will make a significant impact in the future. While we’ve seen traces of this in 2019, it’s in 2020 that computer vision will make a significant mark in both the consumer and business world.

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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.

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Datapine Blog

DECEMBER 11, 2019

“Software as a service” (SaaS) is becoming an increasingly viable choice for organizations looking for the accessibility and versatility of software solutions and online data analysis tools without the need to rely on installing and running applications on their own computer systems and data centers. 1) Artificial Intelligence.

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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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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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Zoominfo

JULY 24, 2019

Here’s how to make sales data work for you. What is Sales Data? Sales data is a broad category of business intelligence that encompasses everything about the sales process and gives individuals and leaders a way to view and optimize their performance. Who’s performing particularly well?

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Datapine Blog

JANUARY 31, 2022

Using business intelligence and analytics effectively is the crucial difference between companies that succeed and companies that fail in the modern environment. Experience the power of Business Intelligence with our 14-days free trial! Why Is Business Intelligence So Important? The power of knowledge.

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IT Business Edge

AUGUST 8, 2022

Data continues to grow in importance for customer insights, projecting trends, and training artificial intelligence (AI) or machine learning (ML) algorithms. In a quest to fully encompass all data sources, data researchers maximize the scale and scope of data available by dumping all corporate data into one location.

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