Smart Data Collective

APRIL 2, 2019

Data Lakes are among the most complex and sophisticated data storage and processing facilities we have available to us today as human beings. Analytics Magazine notes that data lakes are among the most useful tools that an enterprise may have at its disposal when aiming to compete with competitors via innovation.

Big Data 208

Big Data Agile Data Analytics Data Analytics 208

Data Pine

MARCH 31, 2022

To simplify things, you can think of back-end BI skills as more technical in nature and related to building BI platforms, like online data visualization tools. Front-end analytical and business intelligence skills are geared more towards presenting and communicating data to others. b) If You’re Already In The Workforce.

Business Intelligence 95

Business Intelligence Business Intelligence Data Visualization Visualization 95

Astera

APRIL 27, 2023

Data warehouse A data warehouse or a data lake is a cloud-based data storage solution that stores all the organized data collected from the data source using the data pipeline tools. What Should I Look For in Each Component of the Modern Data Stack?

Data Warehouse 52

Data Warehouse Big Data Cloud Computing Data Analytics 52

Astera

JANUARY 25, 2024

Guide to the Workflow of Reverse ETL There are four main aspects to reverse ETL: Data Source: It refers to the origin of data, like a website or a mobile app. Data Models: These define the specific sets of data that need to be moved.

E-Commerce 52

E-Commerce Data Warehouse Retail Customer Experience 52

Tableau

JANUARY 27, 2021

Our innovations are people-centric by design, helping unlock creativity to solve tangible challenges with data. In addition to technology, Tableau is invested in helping organizations build their Data Culture, so they can be successful with analytics at scale. People love Tableau because it’s powerful, yet intuitive.

Business Intelligence 70

Business Intelligence Business Intelligence Government Visualization 70

Astera

MAY 30, 2024

Statistical Analysis : Using statistics to interpret data and identify trends. Predictive Analytics : Employing models to forecast future trends based on historical data. Data Visualization : Presenting data visually to make the analysis understandable to stakeholders.

Data Analytics 52

Data Analytics Data Analytics Data Mining Supply Chain 52

Tableau

JANUARY 27, 2021

Our innovations are people-centric by design, helping unlock creativity to solve tangible challenges with data. In addition to technology, Tableau is invested in helping organizations build their Data Culture, so they can be successful with analytics at scale. People love Tableau because it’s powerful, yet intuitive.

Business Intelligence 52

Business Intelligence Business Intelligence Government Visualization 52

Data Pine

SEPTEMBER 29, 2022

Why Do You Need Data Quality Management? While the digital age has been successful in prompting innovation far and wide, it has also facilitated what is referred to as the “data crisis” – low-quality data. Business/Data Analyst: The business analyst is all about the “meat and potatoes” of the business.

Data Quality 96

Data Quality Monitoring Big Data Government 96

BizAcuity

MARCH 31, 2022

you already have a data strategy in place, then it is easier to identify and analyze where AI would be the most useful for your business.Analytics Insight has an informative blog on the wide range of use-cases of AI in prominent industries. AI helps break down consumer data into key insights. Applications of AI. AI in Marketing.

Artificial Intelligence 130

Artificial Intelligence Data Analytics Data Analytics Predictive Analytics 130

Insight Software

JANUARY 20, 2021

Organizations that can effectively leverage data as a strategic asset will inevitably build a competitive advantage and outperform their peers over the long term. In order to achieve that, though, business managers must bring order to the chaotic landscape of multiple data sources and data models.

Data Management 95

Data Management E-Commerce Data Analytics Data Analytics 95

Sisense

JANUARY 15, 2021

Ensuring that your organization has the right business intelligence and analytics tools to drive this innovation is key. As we have previously posted, the BI group is often the department that approaches the data teams for access to an analytics solution. Build a bridge to the BI team by bringing them into the process.

Skillset 75

Skillset Data Warehouse Data Modelling Business Intelligence 75

Sisense

OCTOBER 14, 2020

These increasingly difficult questions require sophisticated data models, connected to an increasing number of data sources, in order to produce meaningful answers. Therein lies the power of your data team: Armed with know-how, they connect with the end user teams (internal users, product teams embedding insights, etc.)

Data Modelling 98

Data Modelling Embedded Analytics Data Warehouse Innovation 98

Data Pine

MARCH 25, 2022

The correct answer is: everybody has an opinion, but nobody knows, and you shouldn’t care.” – Timo Elliot, Innovation Evangelist at SAP. Well, what if you do care about the difference between business intelligence and data analytics? appeared first on BI Blog | Data Visualization & Analytics Blog | datapine.

Business Intelligence 105

Business Intelligence Business Intelligence E-Commerce Predictive Analytics 105

Cprime

JANUARY 27, 2021

But it is almost impossible to keep up with all the innovation coming out of Microsoft. At the heart of the Power Platform is Microsoft’s Common Data Model (Service). The CDS is a data storage service in Microsoft 365. Of course, we are familiar with the traditional Office offerings like Word, Excel, Outlook, etc.,

User Experience 52

User Experience Documentation Data Warehouse Visualization 52

Tableau

DECEMBER 1, 2021

Innovation is necessary to use data effectively in the pursuit of a better world, particularly because data continues to increase in size and richness. I am proud to announce that my History of Tableau Innovation viz is now published to Tableau Public. Click to view the full interactive visualization.

Innovation 144

Innovation Visualization User Experience Documentation 144

Tableau

DECEMBER 1, 2021

Innovation is necessary to use data effectively in the pursuit of a better world, particularly because data continues to increase in size and richness. I am proud to announce that my History of Tableau Innovation viz is now published to Tableau Public. Click to view the full interactive visualization.

Innovation 98

Innovation Visualization User Experience Documentation 98

Sisense

NOVEMBER 5, 2021

Nagu Nambi , Product Dev and Innovation Director at Radial, leads their Data Warehouse and Analytics Products delivery programs. He has over 24 years of experience in software development, focused on data-driven innovation, research, and enabling business transformation initiatives. Learn more.

Embedded Analytics 52

Embedded Analytics Data Warehouse Innovation Data Governance 52

Insight Software

MAY 1, 2023

This is in contrast to traditional BI, which extracts insight from data outside of the app. According to the 2021 State of Analytics: Why Users Demand Better report by Hanover Research, 77 percent of organizations consider end-user data literacy “very” or “extremely important” in making fast and accurate decisions.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52