BA Learnings

JANUARY 23, 2024

The rise of technology tools in the BA space has contributed to amazing levels of efficiency, where the technology can do a lot of the heavy lifting for you when it comes to running models, formulae, and crunching numbers. As mentioned before, your focus will increasingly be an interpretation of what this all means.

Business Analysis 130

Business Analysis Uncertainty Reporting Management 130

AWS Big Data

JUNE 27, 2023

We wanted to include interactive, real-time visualizations to support recruiters from one of our government clients. Our previous solution offered visualization of key metrics, but point-in-time snapshots produced only in PDF format. We used row-level security with tag-based rules in QuickSight to restrict data on a per-user basis.

Metrics 97

Metrics Dashboards Interactive Visualization 97

Jet Global

NOVEMBER 20, 2023

With the volatility of the market and increasing uncertainties that arise within your business, you need actionable insights to contend with competitors buoyed by digital transformation efforts. It sure isn’t happening in the visualization layer! Unlock insights from ERP Data to Deliver Actionable Insights Let’s face it.

Business Intelligence 52

Business Intelligence IT Operational Reporting Reporting 52

CIO Business Intelligence

JUNE 25, 2023

After being “awed” by OpenAI’s GPT model acing the AP Bio exam, the model was asked a non-technical question: “What do you say to a father with a sick child?” Fine-tuning models that run “on top” of foundation models requires less data, costs less, and can be completed quickly. But it can do much more.

Finance 109

Finance Uncertainty Strategy Modeling 109

Timo Elliott

JANUARY 4, 2021

With advanced analytics, flexible dashboarding and effective data visualization, FP&A storytelling has become both an art and science. First, because uncertainty exploded. We’re no longer talking about tinkering at the margins of a stable business model. Dashboards and analytics have been around for a long, long time.

Dashboards 139

Dashboards Visualization Data-driven Forecasting 139

AWS Big Data

AUGUST 7, 2023

Forecasting acts as a planning tool to help enterprises prepare for the uncertainty that can occur in the future. Amazon Redshift ML makes it easy for data analysts and database developers to create, train, and apply machine learning (ML) models using familiar SQL commands in Amazon Redshift. You pay only the associated Forecast costs.

Forecasting 81

Forecasting Data Warehouse Machine Learning Modeling 81

datapine

DECEMBER 28, 2021

With the rise of advanced technology and globalized operations, statistical analyses grant businesses an insight into solving the extreme uncertainties of the market. 4) Misleading data visualization. Whatever the types of data visualization you choose to use, it must convey: – The scales used. But this didn’t come easy.

Statistics 363

Statistics Advertising Visualization Data mining 363

Smart Data Collective

JULY 1, 2023

Image annotation is the act of labeling images for AI and machine learning models. This helps train the AI model by assigning classes to different entities in an image. This he’s just one of the many ways that artificial intelligence has significantly improved outcomes that rely on visual media.

Metrics 64

Metrics Machine Learning Uncertainty Deep Learning 64

DataRobot

JULY 16, 2021

The first is trust in the performance of your AI/machine learning model. They all serve to answer the question, “How well can my model make predictions based on data?” How can identifying gaps or discrepancies in the training data help you build a more trustworthy model? Dimensions of Trust. How large is the data set?

Machine Learning 98

Machine Learning Uncertainty Modeling Measurement 98

IBM Big Data Hub

APRIL 18, 2024

While these large language model (LLM) technologies might seem like it sometimes, it’s important to understand that they are not the thinking machines promised by science fiction. Most experts categorize it as a powerful, but narrow AI model. A key trend is the adoption of multiple models in production.

Cost-Benefit 97

Cost-Benefit Modeling Manufacturing Interactive 97

CIO Business Intelligence

JUNE 28, 2023

These circumstances have induced uncertainty across our entire business value chain,” says Venkat Gopalan, chief digital, data and technology officer, Belcorp. “As Belcorp operates under a direct sales model in 14 countries. Its brands include ésika, L’Bel, and Cyzone, and its products range from skincare and makeup to fragrances.

Digital Transformation 94

Digital Transformation Cost-Benefit Informatics Data mining 94

CIO Business Intelligence

JULY 11, 2023

McKinsey partners Lareina Yee, Bryan Hancock, and Bill Schaninger home in on how generative AI could help in a discussion of employee evaluations: But what if I, as the employee, can query, “Who are five success models with my strengths and weaknesses, and what have they gone on to do? How can I visualize my career development?

Strategy 73

Strategy Uncertainty Data-driven Consulting 73

Perceptual Edge

APRIL 21, 2019

This certainly applies to data visualization, which unfortunately lends itself to a great deal of noise if we’re not careful and skilled. Every choice that we make when creating a data visualization seeks to optimize the signal-to-noise ratio. No accurate item of data, in and of itself, always qualifies either as a signal or noise.

Visualization 76

Visualization Statistics Uncertainty Modeling 76

Juice Analytics

APRIL 17, 2020

As I was listening to a Data Visualization Society round table discussion about the responsible use of COVID-19 data (properly distanced and webinar-ed, of course), a few thoughts seemed most relevant. Forecasts are built by experts, using lots of assumptions, based on very complex and specifically applied statistical models.

Forecasting 85

Forecasting Snapshot Dashboards Uncertainty 85

erwin

MAY 6, 2020

In these times of great uncertainty and massive disruption, is your enterprise data helping you drive better business outcomes? The COVID-19 pandemic has forced organizations to tactically adjust their business models, work practices and revenue projections for the short term.

Cost-Benefit 94

Cost-Benefit Data Governance Uncertainty Data-driven 94

Smarten

JULY 18, 2022

The path to Citizen Data Scientist does not have to be fraught with uncertainty.’. The Citizen Data Scientist initiative will improve the accuracy of decisions, and allow users to share data and models with other users, thereby adding value to the organization. Why is it important to implement a Citizen Data Scientist Program?

Uncertainty 52

Uncertainty Predictive Analytics Forecasting Analytics 52

The Unofficial Google Data Science Blog

MARCH 31, 2016

KUEHNEL, and ALI NASIRI AMINI In this post, we give a brief introduction to random effects models, and discuss some of their uses. Through simulation we illustrate issues with model fitting techniques that depend on matrix factorization. Random effects models are a useful tool for both exploratory analyses and prediction problems.

Modeling 40

Modeling Statistics Advertising Testing 40

IBM Big Data Hub

MARCH 8, 2024

The ecosystem has become more complex as business models advance and new ecommerce trends appear. In recent years, for instance, ecommerce companies based on a subscription model—like Blue Apron and BarkBox— have grown over 1,000%. The ecommerce market has grown exponentially over the last decade.

Consulting 88

Consulting Marketing Sales Data Processing 88

Data Science and Beyond

JANUARY 7, 2019

Therefore, bootstrapping has been promoted as an easy way of modelling uncertainty to hackers who don’t have much statistical knowledge. Don’t compare confidence intervals visually. Confidence intervals are a common way of quantifying the uncertainty in an estimate of a population parameter.

Statistics 77

Statistics Uncertainty Testing Modeling 77

The Unofficial Google Data Science Blog

MARCH 13, 2017

Typically, causal inference in data science is framed in probabilistic terms, where there is statistical uncertainty in the outcomes as well as model uncertainty about the true causal mechanism connecting inputs and outputs. We are all familiar with linear and logistic regression models.

IT 68

IT Visualization Modeling Uncertainty 68

Sisense

OCTOBER 6, 2020

As quantitative data is always numeric, it’s relatively straightforward to put it in order, manage it, analyze it, visualize it, and do calculations with it. These programs and systems are great at generating basic visualizations like graphs and charts from static data. The challenge comes when the data becomes huge and fast-changing.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

Sisense

SEPTEMBER 9, 2019

Then we ran Kraken’s machine learning and predictive modeling engine to get the results. Following a few false starts and some great iterative learning with the BigSquid team, we came away with a solid predictive data model of the warranty costs for future periods. Using Sentiment Analytics to Inform New Product Design Decisions.

Predictive Analytics 75

Predictive Analytics Predictive Modeling Forecasting Data-driven 75

datapine

MAY 31, 2022

More and more CRM, marketing, and finance-related tools use SaaS business intelligence and technology, and even Adobe’s Creative Suite has adopted the model. Be it in the form of online BI tools , or an online data visualization system, a company must address where and how to store its data. It’s completely free!

Risk 237

Risk Cost-Benefit Business Intelligence Data-driven 237

Cloudera

AUGUST 26, 2021

Data processing and visualization. label="uncertainty"). model = fbprophet.Prophet(). models, forecasts = plot_vaccination_forecast(forecast, country, "Vaccinated per 100"). If security is your thing, and you want to understand how the Ozone security model works, please go here. Trim down columns. toPandas().

Data Science 110

Data Science Forecasting Metadata Machine Learning 110

Domino Data Lab

JUNE 2, 2019

We had data science leaders presenting about lessons learned while leading data science teams, covering key aspects including scalability, being model-driven, being model-informed, and how to shape the company culture effectively. Data science leadership: importance of being model-driven and model-informed.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

Jet Global

DECEMBER 8, 2023

Sustaining growth amidst economic uncertainty demands immediate, clear insights from your SAP data to inform strategic decision-making. Your leadership has come to expect engaging visualizations and dashboards to help them understand and dive into results.

Finance 52

Finance Reporting Management Software 52

Darkhorse

MARCH 31, 2015

Add to these all of the decisions that they could be making (but aren’t) because of uncertainty or laziness. Step 3: Scope the Projects In looking at what remains, you can start to estimate the difficulty or uncertainty associated with finding a solution. Who will care for and feed the model new data? Who will need to sign off?

Uncertainty 45

Uncertainty Data-driven Consulting Metrics 45

Jet Global

JULY 23, 2020

However, as the pandemic causes intense economic uncertainty, companies must be able to see as far into the future as possible and be willing to pivot at a moment’s notice. The software also helps turn that data into a customized report, giving users a suite of visualizations and design options with which to work.

Reporting 52

Reporting IT Uncertainty Digital Transformation 52

Jet Global

FEBRUARY 5, 2024

Top Reasons for a Heavy Carbon Footprint From Your Supply Chain Keeping supply chains operating seamlessly in geopolitical and economic uncertainty is not a new challenge for global manufacturers, though it may feel like supply chain turbulence has become the new normal.

Optimization 52

Optimization Operational Reporting Manufacturing Reporting 52

Domino Data Lab

JUNE 23, 2019

They lack probably what a lot of folks in this room have in terms of domain expertise around data, machine learning, and how these models work. When we shipped an algorithm update, when we improved the model, you would see a step function change in that growth. There’s no substitute for that experience.

Management 110

Management Machine Learning Experimentation Metrics 110

Jet Global

APRIL 30, 2021

Third, strengthen decision-making through widespread adoption of data-visualization, advanced-analytics, and debiasing techniques. Finally, reimagine the finance operating model so that it fosters new skills and capabilities.”. Kickstarting Change.

Finance 98

Finance Recreation/Entertainment Reporting Software 98

Darkhorse

AUGUST 26, 2016

You have devised a number of time-tested shortcuts to deal with uncertainty. keeps talking about his models as if they’re some kind of authority: “The model says so”. You’ll choose simpler models. You’ll visualize way more. You put your reputation on the line with every one of these decisions.

Uncertainty 40

Uncertainty Data Quality Modeling Testing 40

The Unofficial Google Data Science Blog

JULY 11, 2017

SCOTT Time series data are everywhere, but time series modeling is a fairly specialized area within statistics and data science. This post describes the bsts software package, which makes it easy to fit some fairly sophisticated time series models with just a few lines of R code. by STEVEN L. Forecasting (e.g.

Forecasting 64

Forecasting Statistics Modeling Software 64

Domino Data Lab

JULY 22, 2019

how “the business executives who are seeing the value of data science and being model-informed, they are the ones who are doubling down on their bets now, and they’re investing a lot more money.” He also really informed a lot of the early thinking about data visualization. Key highlights from the session include. Transcript.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

bridgei2i

OCTOBER 20, 2021

I’m a director at BRIDGEi2i and I lead the Intelligent Operations practice, where we focus on reimagining processes and business models through innovative AI enabled solutions across manufacturing, supply chain and services automation. So, I’m your host for today, Ronobijay Bhaumik.

Manufacturing 98

Manufacturing Enterprise IoT Technology 98

O'Reilly on Data

SEPTEMBER 11, 2019

Our call for speakers for Strata NY 2019 solicited contributions on the themes of data science and ML; data engineering and architecture; streaming and the Internet of Things (IoT); business analytics and data visualization; and automation, security, and data privacy. 2 in frequency in proposal topics; a related term, “models,” is No.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

CIO Business Intelligence

FEBRUARY 9, 2023

Cloud management powers your cloud operating model by helping you manage, control, and secure your cloud environments. An effective, efficient cloud operating model today requires a modern management solution such as VMware Aria.

Cost-Benefit 59

Cost-Benefit Uncertainty Risk Optimization 59