Rocket-Powered Data Science

MARCH 19, 2021

How to make smarter data-driven decisions at scale : [link]. The determination of winners and losers in the data analytics space is a much more dynamic proposition than it ever has been. A lot has changed in those five years, and so has the data landscape. But if they wait another three years, they will never catch up.”

Internet of Things 259

Internet of Things Analytics IoT Prescriptive Analytics 259

erwin

APRIL 16, 2021

Data governance is best defined as the strategic, ongoing and collaborative processes involved in managing data’s access, availability, usability, quality and security in line with established internal policies and relevant data regulations. Data Governance Is Business Transformation. Predictability. Synchronicity.

Data Governance 128

Data Governance Metadata Cost-Benefit Digital Transformation 128

Smart Data Collective

FEBRUARY 4, 2021

Big data has been instrumental in keeping the pandemic in check. Organizations and governments around the world are using big data technology to track the spread of Covid-19 and find better solutions to keep it in check. However, big data will continue to affect our lives long after the pandemic has subsided.

Data-driven 68

Data-driven Marketing Strategy Big Data 68

erwin

AUGUST 15, 2022

For NoSQL, data lakes, and data lake houses—data modeling of both structured and unstructured data is somewhat novel and thorny. This blog is an introduction to some advanced NoSQL and data lake database design techniques (while avoiding common pitfalls) is noteworthy. A sample data warehousing project.

Data Lake 52

Data Lake Modeling Unstructured Data Data Warehouse 52

Smart Data Collective

FEBRUARY 21, 2021

Data analytics is very important to the future of marketing. A growing number of marketers are using data analytics technology to optimize their lead generation models. One of the most important benefits of using data analytics is that it can improve AI algorithms. Combining Data Analytics with Your Lead Generation Model.

Strategy 99

Strategy Data Analytics Analytics Data-driven 99

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. For additional vital signs and insight beyond what is provided in this article, attend the webinar. Machine learning models: running wild.

Metrics 49

Metrics Modeling Machine Learning Measurement 49

erwin

JUNE 7, 2022

Designing databases for data warehouses or data marts is intrinsically much different than designing for traditional OLTP systems. Accordingly, data modelers must embrace some new tricks when designing data warehouses and data marts. Figure 1: Pricing for a 4 TB data warehouse in AWS. Data Modeling.

Data Warehouse 52

Data Warehouse Modeling Sales Data Lake 52

erwin

SEPTEMBER 5, 2022

As with part 1 , part 2 ,and part 3 of this data modeling blog series, this blog also stresses that the cloud is not nirvana. Data modeling best practices. So, good relational design as covered in part 1 of this data modeling blog series holds true. Yes, it offers essentially infinitely scalable resources.

Modeling 52

Modeling Cost-Benefit Testing Data-driven 52

CIO Business Intelligence

JUNE 14, 2023

Data and big data analytics are the lifeblood of any successful business. Getting the technology right can be challenging but building the right team with the right skills to undertake data initiatives can be even harder — a challenge reflected in the rising demand for big data and analytics skills and certifications.

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126

CIO Business Intelligence

OCTOBER 25, 2023

Our recent data analysis of AI/ML trends and usage confirms this: enterprises across industries have substantially increased their use of generative AI, across many kinds of AI tools. Once shared, this data can be fed into the data lakes used to train large language models (LLMs) and can be discovered by other users.

Enterprise 133

Enterprise Risk Manufacturing Finance 133

IBM Big Data Hub

JUNE 23, 2023

Generative AI empowers faster and better data-driven decisions based on historical data, market trends and the use of AI foundation models that identify patterns and anomalies often missed by traditional analysis methods. What is generative AI, what are foundation models, and why do they matter?

Finance 61

Finance Consulting Data-driven Risk 61

erwin

DECEMBER 3, 2020

As the amount of data grows exponentially, organizations turn to data intelligence to reach deeper conclusions about driving revenue, achieving regulatory compliance and accomplishing other strategic objectives. It’s no secret that data has grown in volume, variety and velocity, with 2.5 New products and services.

Metadata 141

Metadata Data Governance Data-driven Digital Transformation 141

Sisense

JULY 15, 2020

We provide actionable advice around how organizations, and ultimately the builders of data and analytic apps, are adjusting to meet these changes. Key to all this is data, and those organizations that are data-driven have been on the leading edge of these changes. Using data today to build tomorrow’s workforce.

Data-driven 84

Data-driven Metrics Business Driver Visualization 84

Andrew White

OCTOBER 23, 2020

Almost every organization I spoke to is struggling with data and analytics and trying to work out how to re-engineer how their business leaders take decisions. Topics : (broader/full) Data and Analytics Strategy 20. Data and Analytics Governance and/or MDM 15. Data Management 4. Data Monetization 1. Innovation 1.

IT 52

IT Digital Transformation Recreation/Entertainment Data Quality 52

Andrew White

OCTOBER 22, 2020

Topics : (broader/full) Data and Analytics Strategy 14. Data and Analytics Governance and/or MDM 10. Data Management 3. Data Monetization 1. Chief Data Officer/CDO 4. Director Data Mgt and Advanced Analytics 1. Data Governance 1. VP Analytics/VP Data 2. Retail and e-Commerce 2. Director 1.

IT 52

IT Recreation/Entertainment Data Quality Data-driven 52

IBM Big Data Hub

JULY 26, 2023

The emergence of generative AI and foundation models has revolutionized the way every business, across industries, operates at this current inflection point. Widespread adoption and use of AI in HR applications raises many concerns about ethical implications and employee protections related to data and privacy.

Digital Transformation 70

Digital Transformation Cost-Benefit Data-driven Strategy 70

Jet Global

JUNE 22, 2023

Blogs Podcasts Whitepapers and Guides Tools and Calculators Webinars Sample Reports The Evolution of the CFO into the Chief Data Storyteller View Insight Now Our Favorite CFO Blogs The Venture CFO Blog Link: [link] Are you looking for blog posts for CFOs by CFOs? Then you have come to the right place. CFO 2.0 – The real-time analyst.

KPI 105

KPI Finance Dashboards Digital Transformation 105

DataRobot

APRIL 26, 2021

Using historical sales data, together with data related to product features, calendar of events, and economic indicators, we can produce forecasts of future demand. A demand forecasting model for a typical retailer of consumer products might have thousands or tens of thousands of SKUs to forecast. Clustering by product group.

Forecasting 59

Forecasting Sales Data-driven Modeling 59

Timo Elliott

JANUARY 4, 2021

With advanced analytics, flexible dashboarding and effective data visualization, FP&A storytelling has become both an art and science. You can watch the webinar here (registration required) to learn how to conduct FP&A storytelling in order to enhance fact-based decision making. Business people want more data than ever.

Dashboards 139

Dashboards Visualization Data-driven Forecasting 139

Sisense

JULY 7, 2020

Sisense News is your home for corporate announcements, new Sisense features, product innovation, and everything we roll out to empower our users to get the most out of their data. Today’s organizations are more data-driven than ever. Delivering maximum flexibility for your data.

Slice and Dice 92

Slice and Dice Data Warehouse Analytics Dashboards 92

erwin

JANUARY 7, 2021

Our predictions for 2021 are rooted in what we’ve learned from the past year and the relevance of data in getting us to where we are and where we need to go. Historically, moving legacy data to the cloud hasn’t been easy or fast. However, that definition is too narrow in terms of AI’s relation to data governance.

Metadata 98

Metadata Data Governance Internet of Things IoT 98

IBM Big Data Hub

OCTOBER 13, 2023

Changes in customer needs and customer demand are happening as you read this, but lack of visible data might prevent you from realizing these changes in time to act on them. To stay on top of these frequent changes in demand, it is imperative that organizations evaluate their business model and develop the ability to adapt in real-time.

Marketing 74

Marketing Cost-Benefit Optimization Digital Transformation 74

IBM Big Data Hub

NOVEMBER 3, 2023

As a result, I see access to real-time data as a necessary foundation for building business agility and enhancing decision making. Stream processing is at the core of real-time data. Apache Kafka streams get data to where it needs to go, but these capabilities are not maximized when Apache Kafka is deployed in isolation.

Cost-Benefit 78

Cost-Benefit Experimentation Testing Digital Transformation 78

Decision Management Solutions

AUGUST 19, 2021

Millions of dollars are being wasted on inefficient deployments of artificial intelligence, machine learning, and data decisioning technologies. This captain-less, crew-less, entirely AI-driven vessel is the first of its kind. These will be fascinating and stimulating webinars that you’ll be glad you joined. Place: Zoom.

Technology 52

Technology Machine Learning Data Processing Data-driven 52

Smart Data Collective

MAY 28, 2022

Fortunately, companies can use big data to optimize their business models. for every $1 they invest in data analytics. One of the most important ways for brands to improve their profitability with data analytics is through conversion rate optimization. Use Data Mining to Find the Best Strategies for Local SEO.

Data Analytics 105

Data Analytics Analytics Data mining ROI 105

DataRobot Blog

AUGUST 10, 2022

Change is happening fast across the NHS with the focus squarely on harnessing the huge amount of data the NHS generates — to drive forward the transformation programmes needed to address the backlog for elective care and growing demands for services.

Forecasting 52

Forecasting Experimentation Data-driven Risk 52

Sisense

FEBRUARY 25, 2021

Data accumulation doesn’t necessarily deliver value to your organization — the real worth is derived from what a business does with that information. One of the most important applications of data is using it to forecast the future. Data-driven forecasting decisions. Improving forecasting analytics with competing models.

Forecasting 52

Forecasting Analytics Predictive Modeling Machine Learning 52

IBM Big Data Hub

OCTOBER 5, 2022

Build planning models to improve supply chain management. You also build planning models to capture relationships and constraints so that you can change your driver assumptions and immediately see the impact on resources and capacity over time. The challenge faced by every company is matching supply with demand.

Analytics 52

Analytics Forecasting Predictive Modeling Manufacturing 52

IBM Big Data Hub

SEPTEMBER 6, 2023

While organizations gather data and undergo detailed reviews to craft a budget, the market doesn’t stand still. Why budgeting feels like a marathon Just like marathon training takes months of preparation, crafting a budget involves a lot of data collection, metrics analysis, resource allocation and collaboration.

Forecasting 89

Forecasting Marketing Risk Sales 89

Smart Data Collective

JUNE 14, 2022

Big data technology is disrupting almost every industry in the modern economy. Global businesses are projected to spend over $103 billion on big data by 2027. While many industries benefit from the growing use of big data, online businesses are among those most affected. However, it doesn’t come without its difficulties.

Big Data 103

Big Data Data mining Metrics Sales 103

Jedox

DECEMBER 3, 2020

In a recent web survey conducted by Jedox, 40% of FP&A professionals reported that disconnected data sources are their primary pain point for their data analytics. A modern planning solution should enable seamless connection of your data sources and allow your organization to minimize reliance on your in-house IT department.

OLAP 56

OLAP Cost-Benefit Data-driven Finance 56

Andrew White

MAY 4, 2020

As a result, Data, Analytics and AI are in even greater demand. Demand from all these organizations lead to yet more data and analytics. In the realm of AI and Machine Leaning, data is used to train models to help explore specific business issues or questions. With data comes quality issues. Everything Changes.

Uncertainty 90

Uncertainty Data Quality Consulting Predictive Modeling 90

Decision Management Solutions

MARCH 16, 2021

If you are working in data science, you may be frustrated with the progress and ROI of your data science and artificial intelligence projects. The first step in achieving success with data science is recognizing these problem areas in your approach. by James Taylor, CEO, Decision Management Solutions. How do you minimize bias?

Data Science 59

Data Science ROI Machine Learning Modeling 59

Smart Data Collective

APRIL 20, 2022

Despite the naysayers emphasizing the importance of shifting towards an online marketing model, they realize it is still an incredible method for finding out what your clients need and how to readily speak to them. Analytics-driven companies that offer telemarketing services for small businesses usually offer a variety of services.

Strategy 100

Strategy Optimization Analytics B2B 100

Cloudera

FEBRUARY 18, 2021

These are prominent concerns because of increasing regulatory pressure, but also due to how rapidly data volume is growing due to sensors, third-party aggregators, and other alternative sources. Here I’ll comment on a few of the data and analytics-focused trends we see that will impact insurers in 2021 and beyond. .

Insurance 105

Insurance Digital Transformation Risk Data-driven 105

bridgei2i

NOVEMBER 8, 2021

At BRIDGEi2i, we conducted a webinar with esteemed guest – Nicholas Stamp Miller – Senior Director, Global Planning Strategy, Insights & Analytics, Automation Anywhere. Transformation isn’t restricted to people, processes, or technology, but there’s an integral fourth dimension: Data.’.

Enterprise 52

Enterprise B2B Sales Cost-Benefit 52

erwin

JANUARY 3, 2019

With this in mind, the erwin team has compiled a list of the most valuable data governance, GDPR and Big data blogs and news sources for data management and data governance best practice advice from around the web. Top 7 Data Governance, GDPR and Big Data Blogs and News Sources from Around the Web.

Data Governance 53

Data Governance Big Data Data-driven Data Processing 53