Domino Data Lab

FEBRUARY 4, 2021

Container technology has changed the way data science gets done. The original container use case for data science focused on what I call, “environment management”. Configuring software environments is a constant chore, especially in the open source software space, the space in which most data scientists work.

Modeling 130

Modeling Data Science Data Processing Software 130

CIO Business Intelligence

MARCH 31, 2023

Business analysts are in high demand, with 24% of Fortune 500 companies currently hiring business analysts across a range of industries, including technology (27%), finance (13%), professional services (10%), and healthcare (5%), according to data from Zippia. Amazon, Capgemini, and IBM.

Business Analysis 95

Business Analysis Testing Business Analytics Statistics 95

CIO Business Intelligence

JUNE 1, 2022

The company is applying winning insights from rapid, data-driven, evolutionary models versus relying on engine speed and aerodynamics alone to win races. For businesses like the McLaren Group, these two trends are at the core of the conglomerate’s digital transformation and competitive strategy, on and off the track. .

Manufacturing 108

Manufacturing Digital Transformation Predictive Analytics Strategy 108

CIO Business Intelligence

JUNE 7, 2022

But the success of their AI initiatives depends on more than just data and technology — it’s also about having the right people on board. An effective enterprise AI team is a diverse group that encompasses far more than a handful of data scientists and engineers. Data scientist. Data scientists are the core of any AI team.

Machine Learning 145

Machine Learning Data Science Consulting Metrics 145

CIO Business Intelligence

JUNE 27, 2022

“Too often, technology companies pay consulting or analyst firms to create metrics based on the best characteristics of their offerings,” says Judith Hurwitz, CEO of Hurwitz Strategies, an emerging technology consulting firm. When studying a metric, it’s important to know who created it and the data source. Not considering the source.

Metrics 131

Metrics KPI IT Consulting 131

CIO Business Intelligence

MARCH 29, 2022

The utility sector, which has been traditionally recognized for its business stability, reliability, and predictability is now facing a decade of deep redesign that pervades every aspect of the business,” says Ethan Louis Cohen, a Gartner analyst. Management of data centers is a very complex thing. IT, too, gets a cloud overhaul.

Digital Transformation 95

Digital Transformation Data-driven Technology Machine Learning 95

AWS Big Data

NOVEMBER 9, 2023

Building a data platform involves various approaches, each with its unique blend of complexities and solutions. In this post, we delve into a case study for a retail use case, exploring how the Data Build Tool (dbt) was used effectively within an AWS environment to build a high-performing, efficient, and modern data platform.

Data Warehouse 103

Data Warehouse Testing Data Quality Reporting 103

DataKitchen

APRIL 13, 2021

This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. Companies that implement DataOps find that they are able to reduce cycle times from weeks (or months) to days, virtually eliminate data errors, increase collaboration, and dramatically improve productivity.

Testing 307

Testing Machine Learning Consulting Data Quality 307

CIO Business Intelligence

FEBRUARY 7, 2023

Sealock believes that such a survey is “a great way to identify culture issues and to track the effectiveness of remediation efforts to improve culture.” analyst who is now a strategist at career tech service company Resume Worded. When there’s a free and open environment, people tend to feel safe and respected, says Thomas R.

IT 139

IT Reporting Risk Enterprise 139

Sisense

MAY 27, 2019

That means there’s one Hell of a lot of data running through your organization. So, given the choice, which analytics job title should you choose: A data engineer or a data scientist? Digging Deep For Data Diamonds – The Data Engineer. Data’s like diamonds. That’s the job of the data engineer.

Statistics 75

Statistics Machine Learning Visualization Big Data 75

Alation

NOVEMBER 2, 2022

This leading software investment firm has partnered with the who’s-who of data-centric companies, including Qlik and Starburst, to help them drive sustainable, long-term growth. When asked why invest now, Sayle points to the company’s track record of accelerating growth. Source: Irving Investors. The timing may surprise some.

Data Governance 98

Data Governance Marketing Finance Data Lake 98

AWS Big Data

JANUARY 17, 2024

This allows you to simplify security and governance over transactional data lakes by providing access controls at table-, column-, and row-level permissions with your Apache Spark jobs. Many large enterprise companies seek to use their transactional data lake to gain insights and improve decision-making.

Data Lake 91

Data Lake Snapshot Big Data Data-driven 91

CIO Business Intelligence

MARCH 16, 2022

The pace of technology has evolved so rapidly over the last few years, multiplied by the pandemic, that it’s hard to keep track — and what’s most in demand today may be obsolete tomorrow. Identifying which emerging technologies will prove most useful is a challenge, though. Consider the constants.

Forecasting 97

Forecasting Machine Learning Technology Enterprise 97

Domino Data Lab

JULY 28, 2021

The data science lifecycle (DLSC) has been defined as an iterative process that leads from problem formulation to exploration, algorithmic analysis and data cleaning to obtaining a verifiable solution that can be used for decision making. The data science process in a business environment begins with the Manage stage.

Data Science 59

Data Science Enterprise Modeling Experimentation 59

Jet Global

JULY 2, 2019

The sheer scale of data being captured by the modern enterprise has necessitated a monumental shift in how that data is stored. From the humble database through to data warehouses , data stores have grown both in scale and complexity to keep pace with the businesses they serve, and the data analysis now required to remain competitive.

Data Lake 73

Data Lake Data Warehouse Big Data Machine Learning 73

The Unofficial Google Data Science Blog

NOVEMBER 19, 2015

We will continue to bring you posts from the range of data science activities at Google. We briefly highlight some of the things we look for in data scientists we hire at Google and give tips on ways to prepare. At Google we’re always looking for talented people, and we’re interested in hiring great data scientists.

Statistics 75

Statistics Data Science Machine Learning Sales 75

AWS Big Data

JUNE 15, 2023

In this post, we explain how you can enable business users to ask and answer questions about data using their everyday business language by using the Amazon QuickSight natural language query function, Amazon QuickSight Q. Q uses the same QuickSight datasets you use for your dashboards and reports so your data is governed and secured.

Sales 66

Sales Dashboards Visualization Testing 66

Corinium

APRIL 25, 2019

Ahead of the Chief Data Analytics Officers & Influencers, Insurance event we caught up with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity to discuss how the industry is evolving. I am head of Products here, which comprises of R&D, Product Management and Global Customer support.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

Domino Data Lab

AUGUST 6, 2021

Data science is an incredibly complex field. Framing data science projects within the four steps of the data science lifecycle (DSLC) makes it much easier to manage limited resources and control timelines, while ensuring projects meet or exceed the business requirements they were designed for. 4 Steps in the DSLC.

Data Science 75

Data Science Testing Modeling Publishing 75

IBM Big Data Hub

AUGUST 11, 2023

The advancement of computing power over recent decades has led to an explosion of digital data, from traffic cameras monitoring commuter habits to smart refrigerators revealing how and when the average family eats. Both computer scientists and business leaders have taken note of the potential of the data. How the models are stored.

Data Science 57

Data Science Machine Learning Cost-Benefit Deep Learning 57

Domino Data Lab

JUNE 2, 2019

Co-chair Paco Nathan provides highlights of Rev 2 , a data science leaders summit. We held Rev 2 May 23-24 in NYC, as the place where “data science leaders and their teams come to learn from each other.” The conference more than doubled from last year: 2 days, 3 tracks, 5 sponsors, 39 sessions, 65 speakers, 600 attendees.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

Smart Data Collective

JULY 22, 2019

Big or small, every business needs good tools to analyze data and develop the most suitable business strategy based on the information they get. Business intelligence tools are means that help companies get insights from their data and get a better understanding of what directions and trends to follow.

Business Intelligence 80

Business Intelligence Cost-Benefit Dashboards Visualization 80

Depict Data Studio

MAY 8, 2023

All of these classes fall under the broad data communications umbrella. One class focuses on data analysis (cleaning and tabulating our raw datasets to get them ready for graphs). Class 1: Simple Spreadsheets: How to Analyze Data from Start to Finish in Excel Need to make sense of spreadsheets? Not sure where to start?

Dashboards 52

Dashboards Visualization Reporting Interactive 52

O'Reilly on Data

FEBRUARY 11, 2020

We suspected that data quality was a topic brimming with interest. The responses show a surfeit of concerns around data quality and some uncertainty about how best to address those concerns. Key survey results: The C-suite is engaged with data quality. Data quality might get worse before it gets better.

Data Quality 304

Data Quality Metadata Data Governance Publishing 304

CIO Business Intelligence

OCTOBER 19, 2023

Power BI is Microsoft’s interactive data visualization and analytics tool for business intelligence (BI). With Power BI, you can pull data from almost any data source and create dashboards that track the metrics you care about the most. Explore ‘What-ifs’ Like Excel, Power BI offers slicers for comparing scenarios.

Slice and Dice 121

Slice and Dice Scorecard Metrics Visualization 121

The Unofficial Google Data Science Blog

DECEMBER 4, 2015

by AARON BECKER In a previous post, we described how data scientists at Google used Sawzall to perform powerful, scalable analysis. As such, it’s great for writing quick one-off analysis code and iterating on it as we come to a better understanding of the data. If they should have access, which fields should they be able to read?

Statistics 54

Statistics Interactive Software Modeling 54

Depict Data Studio

APRIL 27, 2020

Media outlets are reporting that their COVID-19 data visualizations are their most viewed pages. This is our flagship data visualization course. Bad graphs can slow down the viewer’s comprehension… increase cognitive load… and fail to inform decision-making processes. Dusty Shelf Reports Aren’t Inevitable.

Visualization 52

Visualization Software Reporting Dashboards 52

Occam's Razor

APRIL 15, 2019

If you are in the data business – my bread, butter and tofu – you often carry the burden of being the bearer of bad news. Negative data. Sadly still, negative data to the person/team receiving it. A decade ago, data people delivered a lot less bad news because so little could be measured with any degree of confidence.

Measurement 79

Measurement Strategy Data Processing Uncertainty 79

Sisense

JANUARY 15, 2021

In Building Bridges , we focus on helping end users, app builders, and data experts select and roll out analytics platforms easily and efficiently. We live in a world driven by data. As we have previously posted, the BI group is often the department that approaches the data teams for access to an analytics solution.

Analytics 75

Analytics Data-driven Business Intelligence Visualization 75

Occam's Razor

JANUARY 6, 2010

We all have a tendency of getting caught in a rut, using the same tool to do the same things and spew forth the same data. Before all the excitement of the new year wears out, here are five simple things I would love for you to try so that your company will have a glorious truly data driven 2010! #1: World peace seems within grasp.

Analytics 99

Analytics IT Statistics Metrics 99

CIO Business Intelligence

JANUARY 23, 2023

With a career path that wound through R&D, product development, advanced supply chain, and technology, Praveen Jonnala is well positioned to lead a global IT organization as well as take the reins of operations and other core business functions.

Digital Transformation 145

Digital Transformation Technology Management Insurance 145

Jet Global

OCTOBER 29, 2020

Year-end account reconciliations must often include data points from more than one system. Bringing those together into a single report usually means copying and pasting (or manually rekeying) data from those many different systems, usually into Microsoft Excel. Year-End Challenges. Traditional Tools Fall Short.

Key Performance Indicator 90

Key Performance Indicator Reporting Forecasting Finance 90

Occam's Razor

MARCH 23, 2010

Javascript tag driven click data processed in the cloud provided through a web based front end that allows you to segment and create meaningful views of the data unique to you. Having two tools guarantees you are going to be data collection, data processing and data reconciliation organization. This is sad.

Analytics 118

Analytics Consulting Metrics Experimentation 118

CIO Business Intelligence

JANUARY 30, 2024

The foundation for ESG reporting, of course, is data. Always the gatekeepers of much of the data necessary for ESG reporting, CIOs are finding that companies are even more dependent on them,” says Nancy Mentesana, ESG executive director at Labrador US, a global communications firm focused on corporate disclosure documents.

Reporting 106

Reporting Data Quality Strategy Data-driven 106

CIO Business Intelligence

AUGUST 5, 2022

Data visualization definition. Data visualization is the presentation of data in a graphical format such as a plot, graph, or map to make it easier for decision makers to see and understand trends, outliers, and patterns in data. Maps and charts were among the earliest forms of data visualization.

Visualization 131

Visualization Dashboards Statistics Business Intelligence 131

Sisense

JUNE 6, 2019

But frankly, as a data geek, it is a pretty boring report. As a data geek, I want to know exactly why we performed so well! Published a few months after the MQ, this report provides more than a glimpse at the mountain of data behind the Gartner MQ. At Sisense, we make sure data teams have the best tools to ingest, clean, and.

Reporting 75

Reporting Business Intelligence Visualization Digital Transformation 75

Sisense

AUGUST 15, 2019

And while cloud-native architecture is paramount to drive the future of analytics apps, AI is also a critical component in order to reduce manual, repetitive steps during data prep and give business users the ability to gain new insights from which they can take action. Cloud-Native Architecture. Best-of-Breed Open Source Technologies.

Slice and Dice 60

Slice and Dice Analytics Dashboards Business Driver 60