Rocket-Powered Data Science

JULY 19, 2023

I recently saw an informal online survey that asked users which types of data (tabular, text, images, or “other”) are being used in their organization’s analytics applications. The results showed that (among those surveyed) approximately 90% of enterprise analytics applications are being built on tabular data.

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CIO Business Intelligence

MARCH 6, 2024

Many of our customers had already started to move their applications and it made sense they would want to transition to data management in the cloud as well. The investment thesis was we could dramatically change the value of the company by becoming a true cloud and subscription-driven company. Today, we’re a $1.6 Today, we’re a $1.6

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Juice Analytics

FEBRUARY 10, 2020

Of these pillars, perhaps the most foundational and critical is the data culture. Research suggests that many organizations struggle to create this data culture and a healthy data culture is tied to overall performance. What does the data say? Modeling behavior. Where to next? Actions speak louder than words.

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Smart Data Collective

AUGUST 16, 2021

You need to pay close attention to analytics data on various KPIs to determine whether your strategy is working well and what tweaks need to be made. As an eCommerce entrepreneur, you have the benefit of being able to access a plethora of data at any time about multiple areas of your business and how consumers interact with it.

Metrics 130

Metrics Analytics Cost-Benefit Sales 130

AWS Big Data

JUNE 27, 2023

Our previous solution offered visualization of key metrics, but point-in-time snapshots produced only in PDF format. In this post, we discuss how we built a solution using QuickSight that delivers real-time visibility of key metrics to public sector recruiters. This makes protecting customer data even more important.

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CIO Business Intelligence

JANUARY 18, 2024

Recognizing this need, we have created a cutting-edge VSM maturity model. Drawing upon our extensive experience facilitating successful VSM initiatives within large-scale enterprises, this model serves as a compass, offering insights into their current VSM maturity and providing practical direction to advance and reap the additional benefits.

Digital Transformation 100

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DataKitchen

MAY 10, 2024

The Five Use Cases in Data Observability: Mastering Data Production (#3) Introduction Managing the production phase of data analytics is a daunting challenge. Overseeing multi-tool, multi-dataset, and multi-hop data processes ensures high-quality outputs.

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Smart Data Collective

DECEMBER 17, 2021

Marketing Analytics is the process of analyzing marketing data to determine the effectiveness of different marketing activities. The process of Marketing Analytics consists of data collection, data analysis, and action plan development. Types of Data Used in Marketing Analytics. Types of Data Used in Marketing Analytics.

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Domino Data Lab

OCTOBER 16, 2019

This article covers a couple of key Machine Learning (ML) vital signs to consider when tracking ML models in production to ensure model reliability, consistency and performance in the future. Machine learning models: running wild. They may also experience relief when the model “works” in production.

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Metrics Modeling Machine Learning Measurement 49

CIO Business Intelligence

OCTOBER 7, 2022

It’s time to discard legacy processes and reinvent IT procurement with a new approach that leverages the power of data-driven insights. They typically do so without access to data — which can lead to slowed performance due to under-provisioning, or oversubscribed VMs if they choose an oversized template.

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Data-driven IT Digital Transformation ROI 86

Smart Data Collective

SEPTEMBER 4, 2020

Big data is becoming increasingly important in business decision-making. The market for data analytics applications and solutions is expected to reach $105 billion by 2027. However, big data technology is only a viable tool for business decision-making if it is utilized appropriately. Guide to Creating a Big Data Strategy.

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Smart Data Collective

MARCH 30, 2021

A data-driven approach allows companies of any scale to develop SEO and marketing strategies based not on the opinion of individual marketers but on real statistics. Big data helps better understand your customers, adjust your strategy according to the obtained results, and even decide on the further development of your product line.

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O'Reilly on Data

JULY 28, 2020

The first step in building an AI solution is identifying the problem you want to solve, which includes defining the metrics that will demonstrate whether you’ve succeeded. It sounds simplistic to state that AI product managers should develop and ship products that improve metrics the business cares about. Agreeing on metrics.

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Andrew White

MARCH 28, 2019

It’s all the rage- we need to be ‘data driven’. To be data driven is a great example. Conceptually to be data driven sounds like a situation whereby a decision ought to have its roots founded in data. In this case, data really means all manner of information from raw data, analyses of that data (e.g.

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Data-driven Statistics Testing Metrics 79

O'Reilly on Data

APRIL 30, 2024

Others retort that large language models (LLMs) have already reached the peak of their powers. These are risks stemming from misalignment between a company’s economic incentives to profit from its proprietary AI model in a particular way and society’s interests in how the AI model should be monetised and deployed.

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Smart Data Collective

FEBRUARY 14, 2021

Big data is fundamental to the future of software development. A growing number of developers are finding ways to utilize data analytics to streamline technology rollouts. Data-driven solutions are particularly important for SaaS technology. Big Data Technology is Pivotal to SaaS Deployments.

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Occam's Razor

APRIL 8, 2013

To win in business you need to follow this process: Metrics > Hypothesis > Experiment > Act. We are far too enamored with data collection and reporting the standard metrics we love because others love them because someone else said they were nice so many years ago. This should not be news to you.

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Metrics KPI Analytics Key Performance Indicator 156

Octopai

JUNE 9, 2024

In today’s data-centric world, organizations often tout data as their most valuable asset. However, many struggle to maintain reliable, trustworthy data amidst complex, evolving environments. This challenge is especially critical for executives responsible for data strategy and operations.

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IT Data-driven Data Strategy Predictive Analytics 52

CIO Business Intelligence

MAY 21, 2024

“We know the keys to realizing the full power of AI revolve around two important things: applying AI to a well-defined, practical business issue, and leveraging high quality data,” said Epicor chief product and technology officer Vaibhav Vohra, in a statement. Epicor is putting its R&D efforts into AI and data management.

Forecasting 114

Forecasting Predictive Analytics Machine Learning Data-driven 114

DataKitchen

JANUARY 20, 2021

We’ll also discuss building DataOps expertise around the data organization, in a decentralized fashion, using DataOps centers of excellence (COE) or DataOps Dojos. Centralizing analytics helps the organization standardize enterprise-wide measurements and metrics. Test data management and other functions provided ‘as a service’ .

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Metrics Experimentation Measurement Testing 243

DataRobot Blog

DECEMBER 6, 2022

Savvy data scientists are already applying artificial intelligence and machine learning to accelerate the scope and scale of data-driven decisions in strategic organizations. Other organizations are just discovering how to apply AI to accelerate experimentation time frames and find the best models to produce results.

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Experimentation Forecasting Data-driven Machine Learning 145

Jet Global

SEPTEMBER 29, 2021

The Importance of Data-Driven Finance Leaders. To meet this shift in roles, the new breed of Finance leader is increasingly becoming data-driven, combining quality data drawn from multiple sources to put strategic decisions in context and choose the highest-impact business direction.

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Juice Analytics

MAY 14, 2021

The interview ended up summarizing our journey as a company to transform how people communicate with data. There is still a lack of engagement with data by many people in organizations. People have discomfort with using data to drive everyday decisions. How do we meet people where they are to help them become more data fluent?

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Data-driven Visualization Machine Learning Metrics 74

Jen Stirrup

FEBRUARY 7, 2020

Nevertheless, it is often difficult for them to find the right amount of time to collect, cultivate, and analyse data, mostly because CEOs need to prioritize strategic decisions. Data is hard, and change is hard. Data is hard, and change is hard. Why Do CEOs Care About Data? Gently, gently, incrementally!

Digital Transformation 71

Digital Transformation Data-driven Key Performance Indicator Measurement 71

Smart Data Collective

AUGUST 30, 2022

Companies spent over $240 billion on big data analytics last year. There are many important applications of data analytics technology. Prices must account for the company’s key value metric, cost structure, buyer personas, and other factors like competition. 5 Top B2B Pricing Models and Ways to Use Analytics with Them.

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B2B Analytics Cost-Benefit Metrics 132

Jet Global

APRIL 27, 2020

Any company worth its salt uses financial modeling to guide its financial planning and strategic decision-making. Financial modeling offers data-driven, quantitative analysis that tells you where your company stands and where it’s heading. But one model can’t do it all. What Is Financial Modeling?

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Modeling Forecasting Finance Visualization 72

O'Reilly on Data

MARCH 31, 2020

AI products are automated systems that collect and learn from data to make user-facing decisions. All you need to know for now is that machine learning uses statistical techniques to give computer systems the ability to “learn” by being trained on existing data. Why AI software development is different.

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CIO Business Intelligence

MAY 2, 2023

But are product managers developing market- and customer-driven roadmaps and prioritized backlogs? One recent study shows that only 50% follow a product-centric operating model focusing on customer centricity and delivering delightful customer experiences.

Digital Transformation 130

Digital Transformation IT Data-driven Metrics 130

CIO Business Intelligence

SEPTEMBER 15, 2023

Salesforce is looking at a large recruitment drive as it plans to invest in new areas such as generative AI and push some of its popular products, such as the Data Cloud, CEO Marc Benioff, and chief operating officer Brian Millham told Bloomberg in an interview. Hiring, Technology Industry

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datapine

JUNE 7, 2022

1) Misleading Data Visualization Examples. 3) The Impact Of Bad Data Visualizations. But while that may be the case, people are duped by data visualizations every day. Bad data visualizations come in many forms, with some more obvious than others. Your Chance: Want to create your own data visualizations for free?

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Visualization Metrics Statistics Dashboards 267

Anmut

MARCH 22, 2023

Data maturity models are a crucial step for any organisation looking to improve their data, informing if your current data practices are helping, or holding back, your business. ? Click the links below to navigate to different sections What are data maturity models? Why do we need data maturity models?

Measurement 52

Measurement Modeling Data Quality Data Governance 52

datapine

JULY 26, 2022

The times were data analysis was segregated to big enterprises that had the necessary resources to carry it out are long gone. That said, this level of accessibility has turned the use of data from a choice to a mandatory practice for businesses that want to succeed, no matter their size. Enter small business dashboards and metrics.

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Dashboards KPI Metrics Sales 151

Sisense

OCTOBER 21, 2020

We live in a world of data: There’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Dealing with Data is your window into the ways data teams are tackling the challenges of this new world to help their companies and their customers thrive. Picking a direction for your data model.

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Modeling Data-driven Dashboards Interactive 71

DataKitchen

SEPTEMBER 20, 2021

Data organizations don’t always have the budget or schedule required for DataOps when conceived as a top-to-bottom, enterprise-wide transformational change. DataOps can and should be implemented in small steps that complement and build upon existing workflows and data pipelines. Figure 1: The four phases of Lean DataOps. production).

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CIO Business Intelligence

APRIL 12, 2023

By George Trujillo, Principal Data Strategist, DataStax I recently had a conversation with a senior executive who had just landed at a new organization. He had been trying to gather new data insights but was frustrated at how long it was taking. Real-time AI involves processing data for making decisions within a given time frame.

Machine Learning 128

Machine Learning Cost-Benefit Data-driven Strategy 128

Smart Data Collective

MARCH 14, 2022

Data analytics technology is becoming a more important aspect of business models in all industries. Data Analytics is an Invaluable Part of SaaS Revenue Optimization. There are a lot of ways to take advantage of data analytics to get the most value of your SaaS business. SaaS companies are no exception.

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Modeling Analytics Sales Key Performance Indicator 99

O'Reilly on Data

MAY 1, 2019

Watch highlights from expert talks covering machine learning, predictive analytics, data regulation, and more. People from across the data world are coming together in London for the Strata Data Conference. James Burke asks if we can use data and predictive analytics to take the guesswork out of prediction.

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