Smart Data Collective

SEPTEMBER 22, 2021

We have talked in the past about using data analytics to choose the best cryptocurrencies to invest in. Dogecoin is an alt-coin to Bitcoin that was launched back on December 6th 2013. Based on that nugget of information alone, it seems that the Dogecoin was originally created as a joke by Billy Markus and Jackson Palmer.

Banking 313

Banking Digital Data Analytics Data Analytics 313

Smart Data Collective

JULY 25, 2019

In the early stages of basketball, there was very little use for data and analytics. Sports, in general, were largely anti-data science simply because it didn’t seem like it could apply to a game. Fast forward to the present day, and data science and data analytics are being used in virtually every single sport.

Data Analytics 189

Data Analytics Data Analytics Big Data 189

Domo

APRIL 2, 2013

But rather than just tooting our own horn, I wanted to write about the (unbranded, non-promotional) takeaways I gleaned from three days of BI & analytics: 1. Old assumptions no longer apply to new information Not very long ago, we ran things on assumptions, axioms, and conventional wisdom. And that brings up to the third takeaway.

Innovation 52

Innovation Data Analytics Data Analytics 52

Tableau

AUGUST 23, 2021

Zen Master Steve Wexler has been blogging about survey data longer than most people have been using Tableau. ( The first post I could find on his blog about the topic is from 2013! ). Process descriptions like this are extremely informative as we develop our own skills. Project Starter: Part 2 – 3 Tips to Learn the Data’s Story.

Visualization 125

Visualization Data Analytics Data Analytics 125

Data Pine

MAY 14, 2019

By acquiring a deep working understanding of data science and its many business intelligence branches, you stand to gain an all-important competitive edge that will help to position your business as a leader in its field. In 2013, less than 0.5% of all available data was analyzed, used, and understood.

Artificial Intelligence 140

Artificial Intelligence Big Data Business Intelligence Business Intelligence 140

Tableau

AUGUST 23, 2021

Zen Master Steve Wexler has been blogging about survey data longer than most people have been using Tableau. ( The first post I could find on his blog about the topic is from 2013! ). Process descriptions like this are extremely informative as we develop our own skills. Project Starter: Part 2 – 3 Tips to Learn the Data’s Story.

Visualization 98

Visualization Data Analytics Data Analytics 98

Data Pine

APRIL 14, 2022

“You can have data without information, but you cannot have information without data.” – Daniel Keys Moran. When you think of big data, you usually think of applications related to banking, healthcare analytics , or manufacturing. However, the usage of data analytics isn’t limited to only these fields.

Big Data 97

Big Data Healthcare Customer Experience Customer Experience 97

Sisense

DECEMBER 11, 2019

We hosted over 150 people from more than 100 companies, who gathered to learn why data can supercharge their companies and how harnessing the huge power of data can take business from startup to unicorn. Scott Castle, Sisense General Manager, Data Business. They’re no longer simply a repository for information.

Embedded Analytics 80

Embedded Analytics Big Data Data Discovery Innovation 80

Whizlabs

APRIL 19, 2021

His success was first recognized 7 years ago when he was named as one of the top 9 Cloud Pioneers in Information week. Lydia is a seeker of input through information, opinions and experiences. Michelle has more than 20 years of experience in the field of research in statistics, data analytics, consulting and market research.

Cloud Computing 145

Cloud Computing IBM Support IBM Maintenance IBM cost 145

Monday

MAY 5, 2021

Using a CRM helps you store and organize important information about each individual customer. A CRM records information about customer contact history. You can see if they’ve needed customer support in the past or made a complaint, and use that information to improve your service to them in the future. Better segmentation.

Supply Chain 52

Supply Chain Customer Experience Customer Experience Finance 52

GAVS Technology

SEPTEMBER 8, 2021

The healthcare industry has more information than it can possibly make sense of, and it is likely that this data explosion will only continue to grow with time. So, what’s exactly behind the data overflow that we are seeing in the healthcare industry today? In 2013, the same figure was 5,500 miles – the rise is staggering.

Healthcare 40

Healthcare Procurement Artificial Intelligence Data Management 40

Astera

DECEMBER 29, 2023

to analyze data at different levels of granularity. Dimension Tables These tables store descriptive information or dimensions related to the facts in the fact tables. Data vault modeling combines elements from both the Third Normal Form (3NF) and star schema approaches to create a flexible and scalable data warehouse architecture.

Data Warehouse 52

Data Warehouse Data Management Data Modelling Data Quality 52

Astera

DECEMBER 29, 2023

to analyze data at different levels of granularity. Dimension Tables These tables store descriptive information or dimensions related to the facts in the fact tables. Data vault modeling combines elements from both the Third Normal Form (3NF) and star schema approaches to create a flexible and scalable data warehouse architecture.

Data Warehouse 52

Data Warehouse Data Management Data Modelling Data Quality 52

The BAWorld

NOVEMBER 23, 2021

Ordinal data variables have a natural ordering, but the distance between the categories is not known like education level, your mood (Very happy, happy, bored, sad, very sad), grades received (70 and above, 60 -70, 50- 60, 40-50, below 40) and so on. It gives us information about late aircraft, security, weather, and NAS delays.

Data Analytics 10

Data Analytics Data Analytics Visualization Finance 10

Insight Software

MAY 1, 2023

Aggregated views of information may come from a department, function, or entire organization. These systems are designed for people whose primary job is data analysis. The data may come from multiple systems or aggregated views, but the output is a centralized overview of information. Who Uses Embedded Analytics?

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52