Depict Data Studio

APRIL 10, 2023

and implications of findings) than in statistical significance. Surrounding myself with a variety of chart types, all of which have been used in different reports and for different groups of people, helps me create brand new charts easily. Put your easiest-to-follow chart in your final presentation or report.

Visualization 105

Visualization Dashboards Testing Reporting 105

datapine

SEPTEMBER 27, 2022

Structured Query Language (SQL) is the most popular language utilized to create, access, manipulate, query, and manage databases. But before we do, let’s explore some interesting SQL facts: SQL assists in the structuring and management of information in a database, in addition to conducting searches for information using structures.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

Sisense

DECEMBER 11, 2019

With data growing at a staggering rate, managing and structuring it is vital to your survival. Data teams have become the key to many organizations’ success , and the transformation of data into insights is now a critical business process, as Sisense Israel Sales Country Manager, Davidi Boyarksi, explained in his introduction.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

AWS Big Data

APRIL 3, 2024

They recognize the importance of accurate, complete, and timely data in enabling informed decision-making and fostering trust in their analytics and reporting processes. By analyzing the historical report snapshot, you can identify areas for improvement, implement changes, and measure the effectiveness of those changes.

Data Quality 89

Data Quality Visualization Metadata Metrics 89

datapine

MAY 17, 2021

Whether you’re talking about an IT specialist, a CIO, or a project manager, in today’s digital age all business users need to be able to access and understand data. Let’s say that you are a business owner, an analyst, a CIO, or a program manager. Collaboration is a fundamental point for successful data management.

Visualization 161

Visualization Data-driven Business Intelligence Metrics 161

Smart Data Collective

SEPTEMBER 25, 2019

The trouble began in 2012 when a thief stole a laptop containing 30,000 patient records from an employee’s home. However, according to a 2018 North American report published by Shred-It, the majority of business leaders believe data breach risks are higher when people work remotely. Time to Take Action.

Technology 86

Technology Statistics Strategy Insurance 86

Peter James Thomas

AUGUST 18, 2018

From 2000 to 2015, I had some success [5] with designing and implementing Data Warehouse architectures much like the following: As a lot of my work then was in Insurance or related fields, the Analytical Repositories tended to be Actuarial Databases and / or Exposure Management Databases, developed in collaboration with such teams.

Data Lake 63

Data Lake Data Warehouse Data mining Statistics 63

Domino Data Lab

APRIL 21, 2021

Auxiliary techniques like relying on card holders to report fraudulent transactions have unfortunately proven to be ineffective [1]. In contrast, the decision tree classifies observations based on attribute splits learned from the statistical properties of the training data. It can be implemented as either unsupervised (e.g.

Statistics 69

Statistics Machine Learning Modeling Metrics 69

Domino Data Lab

AUGUST 8, 2019

That’s a can-o-worms that exposes problems with Silicon Valley product management culture not entirely comprehending the real-world issues of MLOps. I’d been paying careful attention to recent talks by Pete Skomoroch about how product management in the context of machine learning becomes a different kind of responsibility.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Jen Stirrup

OCTOBER 21, 2019

I’m normally reporting into Board level, or one level below, so my projects tend to have high visibility across the organization. According to the Telegraph (2012), Female execs earn £423,390 less than men over careers. . So, what can we do to encourage and manage diversity in the workplace. Equal Opportunities approach).

Data-driven 49

Data-driven Marketing Testing Management 49

Domino Data Lab

MARCH 3, 2019

We had big surprises at several turns and have subsequently published a series of reports. Let’s look through some of the insights gained from those reports. Seriously, this entire article merely skims the surface of those reports. Note how there’s roughly a 2:1 ratio between relying on open source and use of managed services.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

Occam's Razor

MAY 14, 2012

Step 4: In the middle of the resulting report you'll see a trend that looks like this: This shows the number of searches for your brand, relative to the total number of searches done on Google over time (for the geographic region and time period you've chosen). Step 3: Click Search. These are just brand queries.

Measurement 128

Measurement Analytics Advertising Marketing 128

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

1]" Statistics, as a discipline, was largely developed in a small data world. More people than ever are using statistical analysis packages and dashboards, explicitly or more often implicitly, to develop and test hypotheses. Data was expensive to gather, and therefore decisions to collect data were generally well-considered.

Experimentation 61

Experimentation Testing Statistics Metrics 61

Domino Data Lab

JULY 22, 2019

He was saying this doesn’t belong just in statistics. It involved a lot of interesting work on something new that was data management. It involved a lot of work with applied math, some depth in statistics and visualization, and also a lot of communication skills. Tukey did this paper. It’s a great read.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Smart Data Collective

OCTOBER 17, 2022

zettabytes in 2012. Consider the statistics from Domo that the number of home-based workers has increased from roughly 15% 18 months ago to more than 50% now (it was close to 100% at times during the epidemic). Reports and models stutter as they try to interpret the massive amounts of data flowing through them.

Big Data 104

Big Data Data-driven Recreation/Entertainment Data Governance 104

The Unofficial Google Data Science Blog

APRIL 17, 2017

In the first plot, the raw weekly actuals (in red) are adjusted for a level change in September 2011 and an anomalous spike near October 2012. Prediction Intervals A statistical forecasting system should not lack uncertainty quantification. Journal of Official Statistics 6.1 Management science 52.1 Specifically, see "1.4

Forecasting 83

Forecasting Modeling Statistics Uncertainty 83

Occam's Razor

JANUARY 10, 2011

10% of your time should be spent in implementing tools, not 15 months with an eye towards analysis in the middle of 2012. And possess at least some knowledge of the fundamentals of statistics. Here's the amazing thing: everyone else who got all those reports thought I was quite simply magnificent. Stop switching tools!

Analytics 120

Analytics Measurement Data-driven Optimization 120

Alation

JULY 7, 2022

I had always been fascinated by how people find, organize, and access information, so a metadata management role after school was a natural choice. I spent the next six months taking notes, asking questions, and mastering a different kind of metadata and information management than what I had learned in school. The data scientist.

Metadata 52

Metadata Data-driven Insurance Statistics 52

Occam's Razor

SEPTEMBER 21, 2015

The difference between a Reporting Squirrel and Analysis Ninja? Do you see how far away a Reporting Squirrel's job is from that of an Analysis Ninja? We send out our multi-tab spreadsheets, our best Google Analytics custom reports , our great dashboards full of data , and more to the tactical layer of data clients.

Visualization 160

Visualization Key Performance Indicator Slice and Dice Strategy 160

CIO Business Intelligence

FEBRUARY 3, 2023

Top RPA tools RPA tools have grown to be parts of larger ecosystems that map out and manage the enterprise computing architecture. These systems can manage the various APIs and services while also helping the data flow with extra bots. RPA tools are also starting to take on roles managing the cloud.

Data-driven 145

Data-driven Interactive Enterprise Statistics 145