Rocket-Powered Data Science

SEPTEMBER 20, 2021

The way that I explained it to my data science students years ago was like this. I brought them deeper into the world by pointing out how much more effective and efficient the data professionals’ life would be if our data repositories had a similar semantic meta-layer. But what a dream the semantic layer becomes!

Data Science 285

Data Science Forecasting Business Intelligence Sales 285

datapine

SEPTEMBER 27, 2022

Business leaders, developers, data heads, and tech enthusiasts – it’s time to make some room on your business intelligence bookshelf because once again, datapine has new books for you to add. We have already given you our top data visualization books , top business intelligence books , and best data analytics books.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

CIO Business Intelligence

JANUARY 19, 2024

Data scientist is one of the hottest jobs in IT. Companies are increasingly eager to hire data professionals who can make sense of the wide array of data the business collects. According to data from PayScale, $99,842 is the average base salary for a data scientist in 2024.

Data Science 127

Data Science Machine Learning Predictive Modeling Experimentation 127

CIO Business Intelligence

JULY 28, 2022

For the past few years, IT leaders at a US financial services company have been struggling to hire data scientists to harness the increasing flood of incoming data that, if used properly, could improve customer experience and drive new products. It’s exponentially harder when it comes to data scientists.

Data Science 143

Data Science IT Machine Learning Data-driven 143

Smart Data Collective

MARCH 27, 2023

Unleash your analytical prowess in today’s most coveted professions – Data Science and Data Analytics! As companies plunge into the world of data, skilled individuals who can extract valuable insights from an ocean of information are in high demand.

Data Science 92

Data Science Statistics Data-driven Machine Learning 92

Rocket-Powered Data Science

OCTOBER 6, 2023

Decades (at least) of business analytics writings have focused on the power, perspicacity, value, and validity in deploying predictive and prescriptive analytics for business forecasting and optimization, respectively. Even when similar sorts of inferences occur in a business context, they have essentially zero value.

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157

CIO Business Intelligence

OCTOBER 13, 2023

Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations. They often report to data infrastructure and data science leads.

Data Architecture 131

Data Architecture Data Warehouse Statistics Visualization 131

CIO Business Intelligence

SEPTEMBER 14, 2023

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines that convert raw data into formats usable by data scientists, data-centric applications, and other data consumers.

Analytics 134

Analytics Data Science Unstructured Data Data mining 134

Smart Data Collective

JUNE 10, 2022

Are you interested in a career in data science? The Bureau of Labor Statistics reports that there are over 105,000 data scientists in the United States. The average data scientist earns over $108,000 a year. Data Scientist. Data Engineer. This is the best time ever to pursue this career track.

Data Science 120

Data Science Machine Learning Statistics Business Intelligence 120

FineReport

MARCH 24, 2024

Rapid technological advancements and extensive networking have propelled the evolution of data analytics, fundamentally reshaping decision-making practices across various sectors. In this landscape, data analysts assume a pivotal role, tasked with interpreting data to drive informed decision-making.

Statistics 52

Statistics Data mining Visualization Reporting 52

Smart Data Collective

DECEMBER 21, 2022

Big data technology has become critical for modern life. A growing number of data scientists are being employed in various industries to help solve many challenges. The IT and cybersecurity sectors are heavily dependent on people with an expertise in data science. Cyber Security Analyst.

IT 113

IT Big Data Data Science Data-driven 113

DataKitchen

NOVEMBER 20, 2021

Errors are an inherent part of data analytics. The product for a data engineer is the data set. For an analyst, the product is the analysis that they deliver for a data object. The DataOps Engineer leverages a common framework that encompasses the end-to-end data lifecycle. Curating Processes.

Testing 246

Testing Machine Learning Data Warehouse Reporting 246

DataKitchen

NOVEMBER 4, 2021

Data organizations often have a mix of centralized and decentralized activity. DataOps concerns itself with the complex flow of data across teams, data centers and organizational boundaries. It expands beyond tools and data architecture and views the data organization from the perspective of its processes and workflows.

Data Processing 246

Data Processing Data Lake Cost-Benefit Testing 246

CIO Business Intelligence

AUGUST 23, 2022

More importantly, healthcare isn’t an industry that can withstand significant downtime or major overnight changes, as most systems handle sensitive healthcare and patient data. Informatics is a top priority, driving a demand for skills such as SQL, Python, data analysis, project management, process improvement, and more. Data analyst.

Informatics 92

Informatics IT Business Intelligence Software 92

Sisense

SEPTEMBER 3, 2020

In The Future of Work , we explore how companies are transforming to stay competitive as global collaboration becomes vital. We live in a constantly-evolving world of data. That means that jobs in data big data and data analytics abound. The wide variety of data titles can be dizzying and confusing!

Statistics 97

Statistics Metrics Visualization Finance 97

CIO Business Intelligence

MARCH 29, 2024

The company now has several business processes fully automated with homegrown code and AI. Analysts agree that incorporating human input to sign off on decisions and outcomes of generative AI processes is proving to be an essential driver of early genAI success. We want to be able to plug in the right model at the right time.

Data Lake 124

Data Lake Machine Learning Data Warehouse Unstructured Data 124

datapine

AUGUST 14, 2019

Data science has become an extremely rewarding career choice for people interested in extracting, manipulating, and generating insights out of large volumes of data. To fully leverage the power of data science, scientists often need to obtain skills in databases, statistical programming tools, and data visualizations.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

DataKitchen

AUGUST 19, 2021

Below is our fourth post (4 of 5) on combining data mesh with DataOps to foster innovation while addressing the challenges of a decentralized architecture. We’ve covered the basic ideas behind data mesh and some of the difficulties that must be managed. Below is a discussion of a data mesh implementation in the pharmaceutical space.

Data Warehouse 246

Data Warehouse Data Lake Manufacturing Testing 246

Smarten

AUGUST 16, 2022

With the Right Augmented Analytics You Can Satisfy Business Users and Data Scientists! Solutions that are designed to support users and roles working at all levels can ensure user adoption and optimize the contribution of data champions, business users, data scientists and IT.’.

Analytics 76

Analytics Optimization Dashboards Enterprise 76

CIO Business Intelligence

JANUARY 22, 2024

For healthcare organizations, what’s below is data—vast amounts of data that LLMs will have to be trained on. This is where the healthcare industry has a distinct advantage because payers and providers are sitting on an enormous amount of existing data. In fact, the average hospital produces 50 petabytes of data a year.

Unstructured Data 92

Unstructured Data Digital Transformation Data Strategy Modeling 92

CIO Business Intelligence

SEPTEMBER 2, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work. Software engineer. Full-stack software engineer. Back-end software engineer.

Finance 98

Finance IT Software Reporting 98

CIO Business Intelligence

AUGUST 31, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work. Software engineer. Full-stack software engineer. Back-end software engineer.

Finance 98

Finance IT Software Reporting 98

Smarten

AUGUST 22, 2023

Understanding the Benefits of the Citizen Data Scientist Role for Business Users! When business users hear that their enterprise is planning to implement a Citizen Data Scientist initiative, it often has a chilling effect. With these tools, the business user can quickly and easily analyze data without delay.

Enterprise 52

Enterprise Predictive Analytics Consulting Strategy 52

O'Reilly on Data

JUNE 18, 2019

Machine learning solutions for data integration, cleaning, and data generation are beginning to emerge. “AI AI starts with ‘good’ data” is a statement that receives wide agreement from data scientists, analysts, and business owners. These data sets are often siloed, incomplete, and extremely sparse.

Machine Learning 259

Machine Learning Data Quality Statistics Modeling 259

CIO Business Intelligence

MAY 5, 2023

Generative AI such as ChatGPT has of late captured the imagination of business leaders across industries. The combination of CarMax’s revolutionary digital business model applied to the used-car business with revolutionary AI tools available to all makes for powerful and profitable business outcomes. billion overall.

Digital Transformation 145

Digital Transformation Cost-Benefit Business Driver Data Lake 145

Smart Data Collective

APRIL 25, 2022

Data science is a broad field that can help organizations glean significant insights into various aspects of their operations. Whether it’s uncovering truths about customer buying habits or discovering new ways to make teams collaborate more efficiently, data science can be an extremely useful tool to all who take advantage of it.

Data Science 126

Data Science Cost-Benefit Sales Technology 126

Smart Data Collective

AUGUST 28, 2021

Data lakes and data warehouses are probably the two most widely used structures for storing data. Data Warehouses and Data Lakes in a Nutshell. A data warehouse is used as a central storage space for large amounts of structured data coming from various sources. Data Type and Processing.

Data Lake 140

Data Lake Data Warehouse Unstructured Data Structured Data 140

datapine

JANUARY 24, 2021

In our cutthroat digital age, the importance of setting the right data analysis questions can define the overall success of a business. That being said, it seems like we’re in the midst of a data analysis crisis. That being said, it seems like we’re in the midst of a data analysis crisis.

IT 317

IT Statistics KPI Data-driven 317

Smart Data Collective

MAY 20, 2019

We’re well past the point of realization that big data and advanced analytics solutions are valuable — just about everyone knows this by now. Big data alone has become a modern staple of nearly every industry from retail to manufacturing, and for good reason. That’s equal to 44 zettabytes of data, or 44 trillion gigabytes.

Analytics 111

Analytics Machine Learning Business Intelligence Big Data 111

Domino Data Lab

JULY 19, 2021

One of the primary challenges of any ML/AI project is transitioning it from the hands of data scientists in the develop phase of the data science lifecycle into the hands of engineers in the deploy phase. Where in the life cycle does data scientists’ involvement end? Data engineers assist by providing clean data.

Enterprise 85

Enterprise Data Science Testing Modeling 85

IBM Big Data Hub

NOVEMBER 29, 2023

With the emergence of new advances and applications in machine learning models and artificial intelligence, including generative AI, generative adversarial networks, computer vision and transformers, many businesses are seeking to address their most pressing real-world data challenges using both types of synthetic data: structured and unstructured.

Metrics 87

Metrics Machine Learning Risk Statistics 87

DataKitchen

AUGUST 27, 2021

DataOps has become an essential methodology in pharmaceutical enterprise data organizations, especially for commercial operations. Companies that implement it well derive significant competitive advantage from their superior ability to manage and create value from data.

Analytics 246

Analytics Sales Testing Cost-Benefit 246

CIO Business Intelligence

DECEMBER 1, 2022

Tapped to guide the company’s digital journey, as she had for firms such as P&G and Adidas, Kanioura has roughly 1,000 data engineers, software engineers, and data scientists working on a “human-centered model” to transform PepsiCo into a next-generation company. But there is more room to go. billion in revenue.

Digital Transformation 134

Digital Transformation IoT Data-driven KPI 134

CIO Business Intelligence

FEBRUARY 6, 2023

For Pappas, the customer has become the “North Star” in the digital era, and other insurance CIOs concur, as improving the customer experience and operational excellence — not revenue growth — tops the list of insurance digitalization initiatives in 2023, according to a recent Gartner survey of CIOs across 81 countries.

Insurance 125

Insurance IT Digital Transformation Machine Learning 125

CIO Business Intelligence

AUGUST 9, 2022

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines used by data scientists, data-centric applications, and other data consumers. The data engineer role.

Analytics 128

Analytics Data Science Statistics Unstructured Data 128

CIO Business Intelligence

JULY 24, 2023

The transformation, which started in partnership with Microsoft in 2016, is also enabling LaLiga to expand its business by offering technology platforms and services to the sports and entertainment industry at large. million data points captured in near real-time per match. million data points per match.

Broadcasting 91

Broadcasting Recreation/Entertainment Testing Machine Learning 91

AWS Big Data

FEBRUARY 20, 2024

Business leaders and data analysts use near-real-time transaction data to understand buyer behavior to help evolve products. The primary challenge businesses face with near-real-time analytics is getting the data prepared for analytics in a timely manner, which can often take days.

Visualization 95

Visualization Cost-Benefit Optimization B2B 95