Smart Data Collective

FEBRUARY 7, 2023

Computer users can take advantage of data-driven tools to improve the performance of their devices. Macs can be great tools for data science. However, that is only the case if they are properly maintained and optimized for speed. However, the relationship goes both ways.

Data-driven 86

Data-driven Optimization Big Data Data Analytics 86

CDW Research Hub

JULY 18, 2022

Snowflake enables a wide variety of workloads and applications on any cloud, including data warehouses, data lakes, data pipelines and data sharing, as well as business intelligence, data science and data analytics applications. Optimizing Snowflake functionality. Workload discovery.

Optimization 87

Optimization Data Lake Data Warehouse Manufacturing 87

Smart Data Collective

AUGUST 10, 2021

Has the cost of data installation and maintenance increased with each passing day at your company? If you answered yes, Big Data Analytics is the answer to all of your questions since they have extensive experience with big data technologies and procedures. Are your technology solutions difficult to understand?

Data Analytics 135

Data Analytics Analytics Big Data Key Performance Indicator 135

Smart Data Collective

NOVEMBER 18, 2020

You should learn what a big data career looks like , which involves knowing the differences between different data processes. Online courses and universities are offering a growing number of programs of study that center around the data science specialty. What is Data Science? Where to Use Data Science?

Data mining 143

Data mining Data Science Informatics Statistics 143

Smart Data Collective

APRIL 5, 2022

Data analytics has led to a huge shift in the marketing profession. Digital marketers have an easier time compiling data on customer engagements, because most behavior and variables can be easily tracked. Earlier this year, VentureBeat published an article titled How data science can boost SEO strategy.

Marketing 128

Marketing Data Analytics Analytics Advertising 128

Smart Data Collective

NOVEMBER 26, 2021

With the “big data” or insurmountable, high-volume amount of information, data analytics plays a crucial role in many business aspects, including revenue marketing. Data analytics refers to the systematic computational analysis of statistics or data. It lays a core foundation necessary for business planning.

Marketing 111

Marketing Data Analytics Key Performance Indicator Analytics 111

Domino Data Lab

JULY 28, 2021

Data science is an exciting, interdisciplinary field that is revolutionizing the way companies approach every facet of their business. Data Science — A Venn Diagram of Skills. Data science encapsulates both old and new, traditional and cutting-edge. 3 Components of Data Science Skills.

Data Science 110

Data Science Statistics Recreation/Entertainment Predictive Analytics 110

IBM Big Data Hub

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? This post will dive deeper into the nuances of each field.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

CIO Business Intelligence

MARCH 21, 2022

Data scientists are analytical data experts who use data science to discover insights from massive amounts of structured and unstructured data to help shape or meet specific business needs and goals. Learn from data scientists about their responsibilities and find out how to launch a data science career. |

Unstructured Data 130

Unstructured Data Data Analytics Analytics Structured Data 130

Smart Data Collective

DECEMBER 19, 2021

Built-in Data Analytics Tools: Python has some built-in data analysis tools that make the job easier for you. For example, the Impute library package handles the imputation of missing values, MinMaxScaler scales datasets, or uses Autumunge to prepare table data for machine learning algorithms.

Optimization 135

Optimization Machine Learning Data mining Statistics 135

Business Over Broadway

APRIL 22, 2021

From business analysts and data scientists to machine learning engineers and software developers, these data professionals extract insights from data and use those insights to drive businesses forward. Finding and using these data-driven insights requires the interplay of data pros, processes and technologies.

Machine Learning 58

Machine Learning Data Science Data-driven Reporting 58

Jen Stirrup

MAY 5, 2020

Recently, I gave a Make Your Data Work Monday webinar on the complexities of the data sources for data science in Azure, and I thought it important enough to turn into an actual post. How can you differentiate the different opportunities to store your data in Azure?

Machine Learning 89

Machine Learning Data Science Data Lake Big Data 89

Smart Data Collective

AUGUST 21, 2019

They recognize that the overemphasis on big data has created problems, so they have presented alternatives. Data Science Companies Focus on Optimal Data Utilization Rather than Just Emphasizing Data Scalability. Endor is a leading pioneer in data science.

Data Science 68

Data Science Big Data Data Strategy Risk 68

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 129

Analytics Data Science Unstructured Data Data mining 129

DataKitchen

JANUARY 5, 2021

Execution of this mission requires the contribution of several groups: data center/IT, data engineering, data science, data visualization, and data governance. Each of the roles mentioned above views the world through a preferred set of tools: Data Center/IT – Servers, storage, software.

Testing 147

Testing Data Governance Metadata Visualization 147

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

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. Data engineer vs. data architect.

Analytics 118

Analytics Data Science Statistics Unstructured Data 118

Rocket-Powered Data Science

JUNE 17, 2022

release enables DevSecOps users to gain more insights from Observability data with Federated Search, with the ability to correlate ops with security alerts, and with Edge Management, all in one platform. My closing thought — Cybersecurity is basically Data Analytics: detection, prediction, prescription, and optimizing for unpredictability.

Machine Learning 238

Machine Learning Recreation/Entertainment Risk Business Objectives 238

Smart Data Collective

APRIL 3, 2022

One of the reasons that data strategies often turn out to be ineffective is that companies define them too narrowly. They often end up focusing entirely on using big data to optimize their financial and marketing strategies. However, they don’t use data enough to improve their internal culture.

Data Strategy 97

Data Strategy Strategy Data-driven Big Data 97

CIO Business Intelligence

FEBRUARY 13, 2023

This includes spending on strengthening cybersecurity (35%), improving customer service (32%) and improving data analytics for real-time business intelligence and customer insight (30%). Fleschut says he will also hire more IT personnel this year, especially data scientists, architects, and security and risk professionals.

IT 145

IT Insurance Machine Learning Marketing 145

CIO Business Intelligence

SEPTEMBER 2, 2022

According to a 2021 Gartner research report, hiring senior data scientists is “very difficult,” and even finding junior-level data science talent is challenging. Similar findings came out of a 2021 Forrester report which noted that 55% of companies surveyed were looking to hire data scientists. Focus on purpose.

Manufacturing 98

Manufacturing Data Science Machine Learning Reporting 98

CIO Business Intelligence

SEPTEMBER 1, 2022

According to a 2021 Gartner research report, hiring senior data scientists is “very difficult,” and even finding junior-level data science talent is challenging. Similar findings came out of a 2021 Forrester report which noted that 55% of companies surveyed were looking to hire data scientists. Focus on purpose.

Manufacturing 98

Manufacturing Data Science Machine Learning Reporting 98

datapine

OCTOBER 21, 2020

Big data has changed the way we manage, analyze, and leverage data across industries. One of the most notable areas where data analytics is making big changes is healthcare. The application of big data analytics in healthcare has a lot of positive and also life-saving outcomes. 3) Real-Time Alerting.

Big Data 364

Big Data Data Analytics Analytics Cost-Benefit 364

AWS Big Data

MARCH 14, 2024

VMware Tanzu CloudHealth is the cloud cost management platform of choice for more than 20,000 organizations worldwide, who rely on it to optimize and govern their largest and most complex multi-cloud environments. It also showcased how the chosen setup accelerates data transfer, optimizing both time and resources.

Management 107

Management Insurance Optimization Strategy 107

Smart Data Collective

MARCH 29, 2021

Companies need to make the most out of their data resources, which includes collecting and processing them correctly. Data collection and processing methods are predicted to optimize the allocation of various resources for MRO functions. Additionally, data collection becomes a costly process.

Big Data 137

Big Data Management Cost-Benefit Internet of Things 137

Smart Data Collective

JULY 24, 2023

Nabil M Abbas of Towards Data Science talked about one of the most interesting ways that data analytics is changing the NBA. Abbas states that more players are attempting three-point shots based on analytics findings. We will also cover some of the changes brought on by data analytics.

Analytics Technologies 80

Analytics Technologies Marketing Technology Analytics 80

Rocket-Powered Data Science

AUGUST 22, 2021

CX has become increasingly data-informed and data-driven, with VoC data being one of the key data sources. Other data sources include purchase patterns, online reviews, online shopping behavior analytics, and call center analytics.

Data-driven 277

Data-driven Interactive Behavioral Analytics Machine Learning 277

Smart Data Collective

SEPTEMBER 16, 2020

Predictive analytics, sometimes referred to as big data analytics, relies on aspects of data mining as well as algorithms to develop predictive models. These predictive models can be used by enterprise marketers to more effectively develop predictions of future user behaviors based on the sourced historical data.

Predictive Analytics 122

Predictive Analytics Analytics Predictive Modeling Data mining 122

CIO Business Intelligence

MAY 9, 2024

They should lead the efforts to tie AI capabilities to data analytics and business process strategies and champion an AI-first mindset throughout the organization. They also need to understand the vitality of quality data for AI success, as well as governance frameworks to ensure responsible and ethical use of AI.

Risk Management 131

Risk Management Risk Cost-Benefit Technology 131

Cloudera

MAY 12, 2021

Use cases could include but are not limited to: predictive maintenance, log data pipeline optimization, connected vehicles, industrial IoT, fraud detection, patient monitoring, network monitoring, and more. DATA FOR ENTERPRISE AI. Nominations for the 2021 Cloudera Data Impact Awards are open from now until July 23.

Digital Transformation 69

Digital Transformation Machine Learning Optimization Data Lake 69

erwin

JUNE 11, 2020

Data intelligence transforms the way industries operate by enabling businesses to hasten the process of analyzing and understanding the derived information with its more understandable models and aggregated trends. How Business Benefits from Data Intelligence. Apply real-time data in marketing strategies. Expanding big data.

Key Performance Indicator 103

Key Performance Indicator KPI Data-driven Machine Learning 103

Cloudera

JANUARY 5, 2021

Website Operations —Analyze website operations to improve efficiencies in order fulfillment service levels, optimize delivery options offered. Consolidated Inventory & Sales Data — Build an enterprise view of sales and inventory across all channels.

Forecasting 91

Forecasting Cost-Benefit Sales Unstructured Data 91

Smarten

MARCH 21, 2023

‘Consider embedded BI and augmented analytics for your customer-facing solutions, and for work processes that incorporate your suppliers or other stakeholders, in order to optimize the potential of embedded BI and improve market advantage and revenue.’

Analytics 52

Analytics Manufacturing Marketing Optimization 52

AWS Big Data

APRIL 16, 2024

xlarge 8 vCPUs / 24 GB 4 vCPUs / 12 GB 40 tasks (default) Up to 2000 mw1.2xlarge 16 vCPUs / 48 GB 8 vCPUs / 24 GB 80 tasks (default) Up to 4000 With the introduction of these larger environments, your Amazon Aurora metadata database will now use larger, memory-optimized instances powered by AWS Graviton2.

Metadata 96

Metadata Metrics Testing Management 96

CIO Business Intelligence

APRIL 25, 2022

As a result, data scientists often spend too much time on IT operations tasks, like figuring out how to allocate computing resources, rather than actually creating and training data science models. Intel® Technologies Move Analytics Forward. These problems are exacerbated by a lack of hardware designed for ML use cases.

Machine Learning 121

Machine Learning Enterprise Deep Learning Cost-Benefit 121

Smart Data Collective

FEBRUARY 28, 2022

We are all in awe of the changes that big data has created for almost every industry. The implications of big data is more obvious in some industries than others. For example, we can all appreciate the tremendous changes that data science has created for the financial industry, healthcare and web design.

Big Data 99

Big Data Marketing Strategy Data-driven 99

CIO Business Intelligence

JUNE 17, 2022

Typically, CIOs consider certifications as a means for training up IT staff on vital skills around key initiatives such as cybersecurity, data analytics, AI, or the cloud. Functions such as sales and marketing have all undergone a significant change, as has the technology needed for them to perform optimally.

Insurance 103

Insurance IT Advertising Data Science 103