Smart Data Collective

JULY 9, 2023

E-commerce businesses around the world are focusing more heavily on data analytics. One report found that global e-commerce brands spent over $16.7 billion on analytics last year. There are many ways that data analytics can help e-commerce companies succeed.

Optimization 73

Optimization Data Analytics Analytics Data-driven 73

Analytics Vidhya

JANUARY 14, 2022

This article was published as a part of the Data Science Blogathon. billion by 2026, reporting a CAGR of 37.79% during 2022-2026. The recommendations that companies give you sometimes use data […]. Introduction The global market for the usage of Recommendation Engine was valued at USD 2.69 billion in 2021.

Data Science 254

Data Science Publishing Reporting Marketing 254

Smart Data Collective

JANUARY 26, 2022

Law firms are expected to spend over $9 billion on legal analytics technology by 2028. But what is legal analytics? Last year, we published an article on the ways that big law and big data are intersecting. We have had time to observe some major developments of legal analytics over the last year.

Data Analytics 72

Data Analytics Analytics Predictive Analytics Insurance 72

Peter James Thomas

AUGUST 4, 2020

A revised and expanded version of the peterjamesthomas.com Data and Analytics Dictionary has been published. As usual, the new definitions range across the data arena: from Data Science and Machine Learning; to Information and Reporting; to Data Governance and Controls. Analytical Repository.

Data Analytics 98

Data Analytics Analytics Machine Learning Data Governance 98

Octopai

OCTOBER 26, 2022

DataOps is an approach to best practices for data management that increases the quantity of data analytics products a data team can develop and deploy in a given time while drastically improving the level of data quality. Automated workflows for data product creation, testing and deployment.

Data Quality 52

Data Quality Data Analytics Analytics Manufacturing 52

Smart Data Collective

JANUARY 29, 2021

Big data helps us assess some of the biggest trends. A number of analytics tools can see market trends , but it is useful to use data analytics to spot social trends as well. One trend that big data helps us understand better is Covid-19. What Data Analytics Says About Covid-19 Influence Buyer Behavior.

Data Analytics 66

Data Analytics Analytics Big Data Recreation/Entertainment 66

Smart Data Collective

JULY 2, 2019

Big data is playing a surprisingly important role in the evolution of renewable energy. IBM recently published a fascinating paper on the applications of big data for solar and other green energy sources. Other researchers around the world are also talking about the role of data analytics in this dynamic, growing field.

Data Analytics 76

Data Analytics Internet of Things Analytics Big Data 76

DataKitchen

APRIL 28, 2021

Industry analysts who follow the data and analytics industry tell DataKitchen that they are receiving inquiries about “data fabrics” from enterprise clients on a near-daily basis. Gartner included data fabrics in their top ten trends for data and analytics in 2019. Start with a DataOps Process Fabric.

Statistics 246

Statistics Optimization Technology Data Analytics 246

DataKitchen

AUGUST 9, 2021

The data mesh is focused on building trust in data and promoting the use of data by business users who can benefit from it. In essence, a domain is an integrated data set and a set of views, reports, dashboards, and artifacts created from the data. Figure 5: Domain interfaces as URLs.

Testing 246

Testing Data Lake Metadata Publishing 246

CIO Business Intelligence

DECEMBER 28, 2022

And scope 3 reporting—an account of carbon emissions across the supply chain to build equipment, provide professional expertise, or deliver a subscription service—may be the most rigorous and challenging requirement. And scope 3 reporting for one company depends on scopes 1 and 2 reporting from the next company upstream in the supply chain.

Reporting 119

Reporting Consulting Manufacturing Software 119

Smart Data Collective

JULY 12, 2022

Data analytics technology has helped many employers boost productivity and increase employee morale. billion on HR analytics by 2024. The sudden interest in data analytics in the human resource management profession are obvious. Data Analytics in the HR Field is More Important than Ever.

Software 130

Software Management Analytics Big Data 130

Sanjeev Mohan

FEBRUARY 6, 2019

Is Google Cloud Platform Ready to Run Your Data Analytics Pipeline? This is the focus of my latest research which published in Jan 2019. You can view the entire research report here (requires Gartner subscription). The post Is Google Cloud Platform Ready to Run Your Data Analytics Pipeline?

Data Analytics 49

Data Analytics Analytics Data Governance Experimentation 49

Jet Global

OCTOBER 28, 2021

Deal accelerates insightsoftware’s enterprise position in operational reporting by adding market-leading data analytics and integration products including SAP and Oracle ERP reporting solutions. RALEIGH, N.C. The acquisition is expected to close in early November.

Operational Reporting 83

Operational Reporting Finance Data-driven Reporting 83

datapine

NOVEMBER 19, 2019

Social BI indicates the process of gathering, analyzing, publishing, and sharing data, reports, and information. This is done using interactive Business Intelligence and Analytics dashboards along with intuitive tools to improve data clarity. Analytical tools are used to achieve user understanding and comfort.

Business Intelligence 146

Business Intelligence Knowledge Discovery Dashboards Unstructured Data 146

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

DataKitchen

DECEMBER 6, 2022

The two things we are most excited about are: First, DataOps is distinct from all Data Analytic tools. As founders, we sat in a room eight years ago (when all the rage was Hadoop, data prep, and data lakes) and debated — will there ever be an ‘ops’ layer that sits next to all the current data tools? .

Software 130

Software Marketing Data Lake Testing 130

CIO Business Intelligence

JUNE 2, 2022

What’s impressive is how the Wilkes-3 performs both quickly and efficiently, reducing energy use while supporting simulations, AI, and data analytics for research across the university and the UK. Intel® Technologies Move Analytics Forward.

Machine Learning 142

Machine Learning Deep Learning Data Quality Strategy 142

Sisense

MARCH 26, 2021

Newly published research shows that companies aren’t getting the most out of their analytics. Companies surveyed by Harvard Business Review Analytic Services (HBR) report that two of the most important strategic benefits of using data analytics are (1) identifying new revenue and business models and (2) becoming more innovative.

Analytics 98

Analytics Data-driven Dashboards Experimentation 98

DataKitchen

FEBRUARY 21, 2023

Productivity does not come through the fingers of each data engineer; it comes from building a system around those engineers that allows them to run production with minimal errors and move things into production quickly, with low risk, so they can focus on making their customers successful. Find opportunities to automate and refactor.

Data-driven 130

Data-driven Testing Risk Cost-Benefit 130

datapine

MARCH 18, 2020

Getting your socially-driven affairs in order can seem like an impossible feat, but with social media reporting, you will be able to gain the insights you need to attain the results you deserve. When you add up modern technology and a professional report tool , your reporting processes in the social realm will reap many rewards.

Reporting 178

Reporting Dashboards Metrics KPI 178

Smart Data Collective

FEBRUARY 20, 2022

More companies are investing in big data than ever these days. One survey published on CIO found that less than a third of companies have reported that big data has buy-in from top executives. If you are running a business that has not yet adapted a data strategy, you should keep reading.

Big Data 111

Big Data Management Finance Data-driven 111

CIO Business Intelligence

MAY 24, 2023

The first published data governance framework was the work of Gwen Thomas, who founded the Data Governance Institute (DGI) and put her opus online in 2003. They already had a technical plan in place, and I helped them find the right size and structure of an accompanying data governance program.

Data Governance 118

Data Governance Data Quality Data Collection Management 118

Cloudera

JUNE 7, 2022

Want to manage and analyze data of all types including machine, structured, transactional, and unstructured – anywhere? Only Cloudera has the power to span multi-cloud and on-premises with a hybrid data platform. Our data analytics are designed to deliver write-once, run anywhere cloud portability.

IT 106

IT Data Architecture Unstructured Data Big Data 106

AWS Big Data

APRIL 4, 2024

Although this solution is designed to seamlessly interact with both Hive Metastore and the AWS Glue Data Catalog, we use the Data Catalog as our example in this post. It generates and publishes reports in Amazon S3, which are then accessible via Athena. It also downloads sample data files to use in the next step.

Data Quality 60

Data Quality Data Lake Data Warehouse Data-driven 60

Smart Data Collective

AUGUST 7, 2019

The insurance industry is one of the companies investing the most in big data technology. Exactly one year ago today, SNS Telecom & IT published a report highlighting the demand for big data in the insurance industry. The report showed that insurers spent $2.4 billion on big data in 2018 alone.

Big Data 76

Big Data Insurance Cost-Benefit Risk 76

CIO Business Intelligence

JUNE 23, 2022

Want to manage and analyze data of all types including machine, structured, transactional, and unstructured – anywhere? Only Cloudera has the power to span multi-cloud and on-premises with a hybrid data platform. Our data analytics are designed to deliver write-once, run anywhere cloud portability. Jonathan Takiff / IDG.

IT 97

IT Data Architecture Unstructured Data Big Data 97

DataKitchen

SEPTEMBER 20, 2021

Eighty percent of companies surveyed reported five or more errors per month. Thirty percent of respondents reported more than 11 errors per month. Errors undermine trust in data and the data team. Less trust means less data-driven decision-making. Errors in data analytics tend to occur in a very public manner.

Testing 246

Testing Metrics Measurement Dashboards 246

DataKitchen

AUGUST 19, 2021

Self-service data science teams may require their own segmentation models for building reports, views, and PowerPoints. Each circle in figure 4 could be its own data mesh domain. The separation of these data sets enables the teams to decouple their timing from each other. Finally, there is development linkage.

Data Warehouse 246

Data Warehouse Data Lake Manufacturing Testing 246

Ontotext

JANUARY 26, 2023

published as a special topic article in AI magazine, Volume 43, Issue 1 , Spring 2022. This number is expected to grow beyond 20B by next year, as reported by the authors of the project. This paper addresses the challenge of using reliable and trustworthy data in Building Automation Systems.

Interactive 52

Interactive Metadata Data Integration Data-driven 52

AWS Big Data

APRIL 3, 2024

As data becomes increasingly crucial for driving business decisions, Amazon DataZone users are keenly interested in providing the highest standards of data quality. They recognize the importance of accurate, complete, and timely data in enabling informed decision-making and fostering trust in their analytics and reporting processes.

Data Quality 85

Data Quality Visualization Metadata Metrics 85

CIO Business Intelligence

FEBRUARY 10, 2023

Predictive analytics definition Predictive analytics is a category of data analytics aimed at making predictions about future outcomes based on historical data and analytics techniques such as statistical modeling and machine learning. from 2022 to 2028.

Predictive Analytics 145

Predictive Analytics Analytics Predictive Modeling Forecasting 145

Smart Data Collective

JUNE 19, 2022

Since AI has proven to be so valuable, an estimated 37% of companies report using it. Many suppliers are finding ways to use AI and data analytics more effectively. The actual number could be higher, since some companies don’t realize the different forms of AI they might be using.

Risk 133

Risk Cost-Benefit Risk Management Manufacturing 133

Smart Data Collective

MARCH 17, 2020

A Statista report says that last year, the total number of devices connected to the Internet crossed 26 billion units. The report also mentions that this number is projected to amount to 75.44 As per a Statista report, here is a list of the most common cyber attacks experienced by US companies. billion by the end of this year.

IoT 87

IoT Technology Reporting Interactive 87

Cloudera

MARCH 3, 2022

It’s believed the source of the breach was Marriott’s Starwood subsidiary and Marriott might not have done due diligence when merging its newly acquired subsidiary’s data into its own databases. In 2017, Anthem reported a data breach that exposed thousands of its Medicare members. From Bad to Worse.

Data Governance 95

Data Governance Enterprise Data Quality Metadata 95

Smart Data Collective

FEBRUARY 16, 2021

Another – perhaps even more problematic – is that there is mounting evidence acquired from large scale data analytics that shows that diverse teams are actually more likely to fall victim to such an attack. One, perennially raised by commentators from many industries, is that businesses are slowly losing the fight against ransomware.

Big Data 121

Big Data Data-driven Risk Reporting 121

CIO Business Intelligence

JANUARY 12, 2023

In last year’s Digitization of African Agriculture report, which the ACP compiles, it details how 33 million small-scale farmers and pastoralists registered with Digital for Agriculture (D4Ag) solutions across the continent in 2019, adding that it’s expected to rise to 200 million by 2030.

IoT 143

IoT Consulting Internet of Things Technology 143

Cloudera

JULY 21, 2022

This is especially useful when the data in Druid needs to be joined with the data residing elsewhere in the warehouse. The table below summarizes Hive and Druid key features and strengths and suggests how combining the feature sets can provide the best of both worlds for data analytics. Cloudera Data Warehouse).

Metrics 82

Metrics Slice and Dice Data Warehouse Dashboards 82