DataKitchen

OCTOBER 5, 2021

A DataOps Engineer owns the assembly line that’s used to build a data and analytic product. We find it helpful to think of data operations as a factory. We find it helpful to think of data operations as a factory. Most organizations run the data factory using manual labor. Figure 1: Ford assembly line, 1913.

Testing 157

Testing Dashboards Measurement Experimentation 157

IBM Big Data Hub

APRIL 18, 2024

While AGI remains theoretical, organizations can take proactive steps to prepare for its arrival by building a robust data infrastructure and fostering a collaborative environment where humans and AI work together seamlessly. This gap highlights the vast difference between current AI and the potential of AGI.

Cost-Benefit 88

Cost-Benefit Modeling Manufacturing Interactive 88

Smarten

SEPTEMBER 13, 2022

Imagining the Impact of Citizen Data Scientists ! This process ‘converges data science, analytic and process automation into a single platform—which helps companies automate and integrate the way data and business processes come together. Companies can also make data more actionable across the organization.’. ‘By

Key Performance Indicator 76

Key Performance Indicator Predictive Analytics Metrics Consulting 76

IBM Big Data Hub

JULY 26, 2023

Processes such as job description creation, auto-grading video interviews and intelligent search that once required a human employee can now be completed using data-driven insights and generative AI. As such, HR leaders cannot simply rely on data and AI to make decisions. HR leaders set the tone.

Digital Transformation 68

Digital Transformation Cost-Benefit Data-driven Strategy 68

IBM Big Data Hub

AUGUST 2, 2023

When HR professionals are forced to allocate their time on these routine questions and repetitive tasks, they can’t focus on valuable work such as recruitment, retention and motivation, leadership development, and corporate culture. As HR departments move to a more strategic role, addressing these issues has become a necessity.

Insurance 64

Insurance Machine Learning Data-driven Strategy 64

IBM Big Data Hub

JANUARY 10, 2023

Without a doubt, there is exponential growth in the access to and volume of process data we all, as individuals, have at our fingertips. Not only can data support a more compelling change management strategy, but it’s also able to identify, accelerate and embed change faster, all of which is critical in our continuously changing world.

Management 52

Management Data-driven Data mining Business Objectives 52

IBM Big Data Hub

JUNE 29, 2023

Integrated Business Planning (IBP) addresses these challenges by providing a comprehensive framework that integrates strategic, operational and financial planning, analysis, and reporting to drive better business outcomes. Data integration and analytics IBP relies on the integration of data from different sources and systems.

Key Performance Indicator 80

Key Performance Indicator Forecasting Data Integration Sales 80

Cloudera

NOVEMBER 15, 2021

The word “data” is ubiquitous in narratives of the modern world. And data, the thing itself, is vital to the functioning of that world. This blog discusses quantifications, types, and implications of data. Quantifications of data. Quantifications of data. So data is big and growing.

Unstructured Data 86

Unstructured Data Recreation/Entertainment Structured Data Reporting 86

IBM Big Data Hub

NOVEMBER 30, 2023

This approach can foster a culture that not only attracts the right candidates but also cultivates long-term success and sustainability. Highlight the unique benefits, opportunities, and culture. Assess cultural fit: During the interview process, evaluate candidates’ alignment with the company’s culture and values.

Strategy 66

Strategy Cost-Benefit Consulting Data-driven 66

Jet Global

AUGUST 14, 2020

This is particularly relevant in tax-related fields, like reporting (provision) and transfer pricing. Tax needs to consider innovative ways to collect and process financial data, moving away from manual manipulation and reconciliation to more forward-thinking analytics for real-time decision-making.”.

Data-driven 98

Data-driven Forecasting Reporting Technology 98

Occam's Razor

MARCH 19, 2018

I worry about data’s last-mile gap a lot. As a lover of data-influenced decision making, perhaps you worry as well. The last-mile gap is the distance between your trends and getting an influential company leader to take action. Your biggest asset in closing that last-mile gap is the way you present the data.

Visualization 130

Visualization B2B Dashboards Marketing 130

Sisense

FEBRUARY 3, 2021

Artificial intelligence and machine learning are the future of every industry, especially data and analytics. In its 2020 report “Top 10 Trends in Data and Analytics,” Gartner predicts that only 10% of companies will be using augmented analytics to their full potential. Data volumes and variety are growing exponentially.

Analytics 59

Analytics Forecasting Metrics Data-driven 59

Alation

JUNE 14, 2021

The Role of Catalog in Data Security. Recently, I dug in with CIOs on the topic of data security. What came as no surprise was the importance CIOs place on taking a broader approach to data protection. What did come as a surprise was the central role of the data catalog for CIOs in data protection. What do we know?

Data Governance 97

Data Governance Recreation/Entertainment Data Lake Digital Transformation 97

Octopai

JULY 17, 2022

Culture shock. How do you bridge the gap between the two? What’s that got to do with data mapping? Enterprise data crosses borders like nobody’s business. From source system to ETL to database to analysis to reporting – the journey is long, the border crossings are many, and standards may change at each crossing.

Machine Learning 84

Machine Learning Visualization Enterprise Software 84

Smarten

NOVEMBER 26, 2023

You may be interested to know that TechJury reports seven out of ten businesses rate data discovery as very important, and that the top three business intelligence trends are data visualization, data quality management and self-service business intelligence.

Business Intelligence 52

Business Intelligence Software Reporting Technology 52

datapine

JANUARY 6, 2022

1) What Is Data Interpretation? 2) How To Interpret Data? 3) Why Data Interpretation Is Important? 4) Data Analysis & Interpretation Problems. 5) Data Interpretation Techniques & Methods. 6) The Use of Dashboards For Data Interpretation. Business dashboards are the digital age tools for big data.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

Alation

AUGUST 18, 2022

How do you approach data lineage? We all know that data lineage is a complex and challenging topic. In this blog, I am drilling into something I’ve been thinking about and studying for a long time: fundamental approaches to lineage creation and maintenance. What Is Data Lineage Creation & Maintenance?

Metadata 69

Metadata Visualization Statistics Data Architecture 69

Alation

JANUARY 11, 2022

It’s difficult to sell a product you don’t believe in or that doesn’t fill a market gap. We’re grateful our founders and development team have created a market-leading data catalog that customers need and love. Culture is incredibly important, and something we take very seriously. Subscribe to Alation's Blog.

Sales 52

Sales Software Marketing B2B 52

The Unofficial Google Data Science Blog

DECEMBER 14, 2021

by AMIR NAJMI & MUKUND SUNDARARAJAN Data science is about decision making under uncertainty. This blog post introduces the notions of representational uncertainty and interventional uncertainty to paint a fuller picture of what the practicing data scientist is up against. This blog post does not discuss objectives.

Uncertainty 56

Uncertainty Statistics Measurement Cost-Benefit 56

Jen Stirrup

OCTOBER 21, 2019

Source: Social Justice Commission (1993) The Justice Gap, IPPR, London. I’m normally reporting into Board level, or one level below, so my projects tend to have high visibility across the organization. However, there are other ways of dealing with problems which is often cultural. Further Reading.

Data-driven 48

Data-driven Marketing Testing Management 48

Occam's Razor

JULY 24, 2018

work (collection, processing, reporting, analysis), processes, org structure, governance models, last-mile gaps , metrics ladders of awesomeness , and… so… much… more. Remember, tools, work, processes, org structure, governance models, last-mile gaps, metrics ladders of awesomeness, and… so… much… more. via automation).

Analytics 93

Analytics Metrics Strategy Measurement 93

AWS Big Data

APRIL 26, 2023

This is a guest blog post co-written with Corey Johnson from Huron. By keeping track of this information, organizations will be able to identify technology gaps, refresh cycles, and expire assets as needed for archival.

Metadata 52

Metadata Dashboards Visualization Consulting 52

DataKitchen

SEPTEMBER 21, 2023

Bridging the Gap: How ‘Data in Place’ and ‘Data in Use’ Define Complete Data Observability In a world where 97% of data engineers report burnout and crisis mode seems to be the default setting for data teams, a Zen-like calm feels like an unattainable dream.

Testing 176

Testing Data Quality Predictive Modeling Metrics 176

IBM Big Data Hub

APRIL 11, 2024

In the context of AI, it can refer to the safety and ethics guardrails of AI tools and systems, policies concerning data access and model usage or the government-mandated regulation itself. To cite just one knowledge gap: several senior technology leaders we’ve spoken to have no comprehension of how data can be biased.

Risk 77

Risk Consulting Modeling Data Processing 77

Domino Data Lab

FEBRUARY 20, 2019

Eugene Mandel , Head of Product at Superconductive Health , recently dropped by Domino HQ to candidly discuss cross-team collaboration within data science. Eugene Mandel , Head of Product at Superconductive Health , recently dropped by Domino HQ to discuss cross-team collaboration within data science.

Data Science 76

Data Science Testing Software Uncertainty 76

Domino Data Lab

JULY 22, 2019

Paco Nathan presented, “Data Science, Past & Future” , at Rev. This blog post provides a concise session summary, a video, and a written transcript. data science’s emergence as an interdisciplinary field – from industry, not academia. Session Summary. Key highlights from the session include. Transcript.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

O'Reilly on Data

NOVEMBER 28, 2023

Our survey focused on how companies use generative AI, what bottlenecks they see in adoption, and what skills gaps need to be addressed. As of November 2023: Two-thirds (67%) of our survey respondents report that their companies are using generative AI. And only 33% report that their companies aren’t using AI at all.

Enterprise 269

Enterprise Modeling Testing Reporting 269

IBM Big Data Hub

MARCH 19, 2024

Predictive analytics Before a new job listing is even written or an open position has been identified, AI algorithms can help analyze various data sources like historical hiring trends, employee turnover rates, business growth projections and workforce demographics.

Strategy 69

Strategy Predictive Analytics Risk Testing 69

IBM Big Data Hub

MAY 23, 2023

. “The scale of most enterprise hybrid cloud deployments is so vast and penetrates so deeply that the need for an all-in security culture is absolute,” says Shue-Jane Thompson, managing partner at IBM Consulting. Per data from a 2022 Verizon report , as many as 8 in 10 security breaches are caused by human error.

Cost-Benefit 96

Cost-Benefit Strategy Reporting Marketing 96

Depict Data Studio

SEPTEMBER 10, 2019

Emily Rose Barter is one member of the Data, Reporting, and Evaluation team at Emerge Community Development in Minneapolis, Minnesota. This has multiplied the impact of the class, leveling up the data visualizations the team can produce for the entire agency. This is a word I’ve seen Ann use a lot in her blog posts.

Visualization 40

Visualization Dashboards Metrics Reporting 40

DataKitchen

OCTOBER 5, 2022

Observability is a methodology for providing visibility of every journey that data takes from source to customer value across every tool, environment, data store, team, and customer so that problems are detected and addressed immediately. to monitor your data operations. This solution sits on top of your existing infrastructure?without

Testing 176

Testing Risk Data Processing Statistics 176

DataKitchen

OCTOBER 5, 2022

Observability is a methodology for providing visibility of every journey that data takes from source to customer value across every tool, environment, data store, team, and customer so that problems are detected and addressed immediately. to monitor your data operations. This solution sits on top of your existing infrastructure?without

Testing 130

Testing Risk Data Processing Statistics 130

Cloudera

MARCH 25, 2021

According to reports, the gender pay gap is estimated to be 23% globally, which translates to a US$6 trillion loss of income. . There will simply never be enough talent to close the gender gap. . It requires a collective effort, embedded in the culture of an organisation. Anthony, Sarah J. Practise allyship.

Risk 61

Risk Reporting Modeling Technology 61

Alation

MARCH 21, 2023

Today, modern travel and tourism thrive on data. For example, airlines have historically applied analytics to revenue management, while successful hospitality leaders make data-driven decisions around property allocation and workforce management. What is big data in the travel and tourism industry?

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

Jedox

NOVEMBER 23, 2021

The last blog post from our guest authors at smartPM.solutions was about S&OP maturity and the classification of your current S&OP situation according to the 5-stage Gartner S&OP Maturity Model. If you have not yet determined your S&OP maturity stage, you can do so in our last blog post.

Optimization 72

Optimization Forecasting Sales Measurement 72

IBM Big Data Hub

SEPTEMBER 11, 2023

Government agencies are under pressure to close the gap between the needs and expectations of their residents and the level of services that government IT systems can realistically support. How to prioritize : Use data to understand what enhancements and capabilities would bring the greatest benefit.

Data-driven 90

Data-driven IT Measurement Cost-Benefit 90

Cloudera

SEPTEMBER 7, 2023

There’s also the risk of various forms of data leakage, including intellectual property (IP) as well as personally identifiable information (PII) especially with commercial AI solutions. That said, Generative AI and LLMs appear to do all of these things, producing original, “creative” outputs by learning from input data.

Insurance 79

Insurance Risk Data-driven Modeling 79