AWS Big Data

NOVEMBER 14, 2023

Wallapop’s initial data architecture platform Wallapop is a Spanish ecommerce marketplace company focused on second-hand items, founded in 2013. Since its creation in 2013, it has reached more than 40 million downloads and more than 700 million products have been listed. The marketplace can be accessed via mobile app or website.

Data Warehouse 59

Data Warehouse Analytics Testing Cost-Benefit 59

IBM Big Data Hub

FEBRUARY 29, 2024

Containers and Docker Container technology fundamentally changed in 2013 with Docker’s introduction and has continued unabated into this decade, steadily gaining in popularity and user acceptance. Docker containers were originally built around the Docker Engine in 2013 and run according to an application programming interface (API).

Software 84

Software Data Processing Marketing Optimization 84

Sisense

JUNE 26, 2020

There are a wide array of libraries you can use to create Python data visualizations, including Matplotlib, seaborn, Plotly , and others. A Python data visualization helps a user understand data in a variety of ways: Distribution, mean, median, outlier, skewness, correlation, and spread measurements. The maximum is 6.9

Visualization 97

Visualization Unstructured Data Measurement Data-driven 97

Occam's Razor

MARCH 10, 2015

It is all just business analysis – with digital being a dominant factor in influence ( marketing, advertising, experiences, connections, relationships et. Universal Analytics: T3: Measurement Protocol! Dimension Widening – hello sweet simple data from spreadsheets, data warehouses/CRM systems! They are: 1.

Strategy 151

Strategy Analytics Measurement Business Analysis 151

Sisense

DECEMBER 11, 2019

Driving startup growth with the power of data. The challenge is to do it right, and a crucial way to achieve it is with decisions based on data and analysis that drive measurable business results. Scott whisked us through the history of business intelligence from its first definition in 1958 to the current rise of Big Data.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

Occam's Razor

AUGUST 9, 2016

The problem for many new or experienced analysts has been that they either don't have access to any dataset (newbies) or the data they have access to is finite or from an incomplete or incorrect implementation (experienced). I am big believer in evolution (hence my marketing and analytics ladders of awesomeness ).

Analytics 109

Analytics Metrics Reporting Strategy 109

Occam's Razor

APRIL 29, 2013

It turns out that Marketers, especially Digital Marketers, make really silly mistakes when it comes to data. Small data. In the last couple months I've spent a lot of time with senior level marketers on three different continents. Some absolutely did not use data to do their digital jobs.

Marketing 166

Marketing Metrics Advertising Measurement 166

Juice Analytics

OCTOBER 30, 2018

Collectively, these phrases are a reaction to the long-standing challenge of getting more data into more hands. Democratization of data” can seem perpetually right around the corner (if you’re listening to vendor marketing) or a distant illusion (if you are in most organizations). from way back in 2013).

IT 54

IT Data Lake Big Data Data-driven 54

Jet Global

MAY 1, 2023

Section 2: Embedded Analytics: No Longer a Want but a Need Section 3: How to be Successful with Embedded Analytics Section 4: Embedded Analytics: Build versus Buy Section 5: Evaluating an Embedded Analytics Solution Section 6: Go-to-Market Best Practices Section 7: The Future of Embedded Analytics Section 1: What are Embedded Analytics?

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52