Smart Data Collective

NOVEMBER 18, 2020

We decided to cover some of the most important differences between Data Mining vs Data Science in order to finally understand which is which. What is Data Science? Data Science is an activity that focuses on data analysis and finding the best solutions based on it. Where to Use Data Science?

Data Mining 358

Data Mining Analysis Predictive Analytics Data Analysis 358

Smart Data Collective

NOVEMBER 25, 2019

These new avenues of data discovery will give business intelligence analysts more data sources than ever before. At the same time, companies that handle massive amounts of data will need to start taking data security and privacy more seriously, especially if they’re handling confidential consumer information.

Business Intelligence 256

Business Intelligence Intelligence Intelligence Business 256

Domo

FEBRUARY 13, 2024

You’re bringing the model directly to your data in your existing, secure environment. Your data doesn’t get exposed, and you’re protected from all the risks associated with public models. Here’s the other benefit: Domo can build, train, and run models in your pre-existing, secure, and trusted environment.

Predictive Analytics 78

Predictive Analytics Security Security Algorithm 78

Alpha Sense BI

DECEMBER 15, 2023

Below, we dive into how AI is streamlining processes, as well as contributing to money and time savings, within biopharma : Research in Drug R&D Already, AI is evaluating drug research, imbuing traditional processes with predictive capabilities and unprecedented efficiency.

Pharmaceutical 52

Pharmaceutical Algorithm Predictive Analytics Research 52

CXL

NOVEMBER 17, 2022

You’ll also discover digital analytics tools and the most complete digital analytics training to help you better understand your customers. Table of contents What is digital analytics and what can you gain from it? Descriptive analytics 2. Predictive analytics 3. Predictive analytics.

Predictive Analytics 88

Predictive Analytics Analysis Algorithm Sales 88

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. 8) Predictive Analytics In Healthcare.

Hospitals 145

Hospitals Predictive Analytics Data Analysis Analysis 145

Datapine Blog

NOVEMBER 11, 2021

Your Chance: Want to take your data analysis to the next level? By optimizing every single department and area of your business with powerful insights extracted from your own data you will ensure your business succeeds in the long run. No matter the business size, companies are collecting data from multiple sources.

Business Intelligence 85

Business Intelligence Business Intelligence Intelligence 85

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.,

Data Mining 105

Data Mining Predictive Analytics Startups Data Analysis 105

Datapine Blog

JULY 1, 2020

With ad hoc analysis, users often create a report that does not currently exist or drill deeper into an existing dashboard report to achieve a deeper level of insight that ultimately benefits the ongoing success and sustainability of the organization. Ad Hoc Analysis Examples – The Real World. Easy to use: .

Data Analysis 104

Data Analysis Analysis Retail Business Intelligence 104

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. An exemplary application of this trend would be Artificial Neural Networks (ANN) – the predictive analytics method of analyzing data.

Technology 111

Technology Technology IT Banking 111

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. Each information can be gathered into a single, live dashboard , that will ultimately secure a fast, clear, simple, and effective workflow.

Business Intelligence 103

Business Intelligence Intelligence Intelligence Business 103

Datapine Blog

NOVEMBER 27, 2019

Companies are no longer wondering if data visualizations improve analyses but what is the best way to tell each data-story. 2020 will be the year of data quality management and data discovery: clean and secure data combined with a simple and powerful presentation.

Business Intelligence 144

Business Intelligence Intelligence Intelligence Business 144

Datapine Blog

DECEMBER 4, 2019

Predictive & Prescriptive Analytics. Predictive Analytics: What could happen? We mentioned predictive analytics in our business intelligence trends article and we will stress it here as well since we find it extremely important for 2020. Prescriptive Analytics: What should we do?

Business Intelligence 84

Business Intelligence Intelligence Intelligence Business 84