Smart Data Collective

DECEMBER 13, 2022

However, computerization in the digital age creates massive volumes of data, which has resulted in the formation of several industries, all of which rely on data and its ever-increasing relevance. Data analytics and visualization help with many such use cases. It is the time of big data. What Is Data Analytics?

Visualization 145

Visualization Key Performance Indicator Sales Advertising 145

IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

CIO Business Intelligence

JUNE 29, 2022

And as businesses contend with increasingly large amounts of data, the cloud is fast becoming the logical place where analytics work gets done. For many enterprises, Microsoft Azure has become a central hub for analytics. Azure Data Explorer. Azure Data Lake Analytics.

Analytics 116

Analytics Data Lake Data Warehouse Machine Learning 116

CIO Business Intelligence

DECEMBER 1, 2022

To date the company has moved 5,000 applications to Microsoft Azure as it applies predictive analytics , AI, robotics, and process automation in many of its business operations. The company is also refining its data analytics operations, and it is deploying advanced manufacturing using IoT devices, as well as AI-enhanced robotics.

Digital Transformation 144

Digital Transformation IoT Data-driven KPI 144

BizAcuity

APRIL 14, 2022

Its effective data analytics that allows personalization in marketing & sales, identifying new opportunities, making important decisions and being sustainable for the long term. Competitive Advantages to using Big Data Analytics. The majority of the data a business has stored is generally unstructured.

Big Data 52

Big Data Data Analytics Management Analytics 52

Alation

MARCH 21, 2023

As an industry with tight margins, travel and tourism companies can use analytics to detect trends that help them reduce costs, decide future product and service offerings, and develop successful business strategies. Why is data analytics important for travel organizations? How is data analytics used in the travel industry?

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

IBM Big Data Hub

OCTOBER 4, 2023

Why does AI need an open data lakehouse architecture? Consider this, a forecast by IDC shows that global spending on AI will surpass $300 billion in 2026, resulting in a compound annual growth rate (CAGR) of 26.5% from 2022 to 2026.

Data Lake 77

Data Lake Metadata Data Warehouse Cost-Benefit 77

Sisense

JANUARY 8, 2021

How could Yik Yak have used data and analytics to avert disaster? Luma Health showed how message data can be analyzed for mood and meaning by using AI/ML methods on a data lake of chat messages. Forecasting and modeling business costs. Data analytics and the competitive future.

Cost-Benefit 98

Cost-Benefit Forecasting Data Lake Data-driven 98

AWS Big Data

OCTOBER 23, 2023

Modern applications store massive amounts of data on Amazon Simple Storage Service (Amazon S3) data lakes, providing cost-effective and highly durable storage, and allowing you to run analytics and machine learning (ML) from your data lake to generate insights on your data.

Data Lake 124

Data Lake Visualization Optimization Interactive 124

AWS Big Data

MARCH 25, 2024

They can perform a wide range of different tasks, such as natural language processing, classifying images, forecasting trends, analyzing sentiment, and answering questions. FMs are multimodal; they work with different data types such as text, video, audio, and images.

Data Lake 122

Data Lake Unstructured Data Management Snapshot 122

CIO Business Intelligence

SEPTEMBER 6, 2022

Establishing a clear and unified approach to data. But getting to this stage was an intricate process that involved creating centers of excellence for things like data analytics that own the end-to-end infrastructure, application and skill sets, as well as career plans for staff.

IT 98

IT Forecasting Data Lake Data Warehouse 98

CIO Business Intelligence

MARCH 14, 2024

A strengthening role in IT “Real-time analytics, forecasting, and alerting capabilities enable us to intervene when problems arise and prevent disruptions,” says Deligia. The robot took the data from the old provider to the new one, producing new contracts, and sending them to about 700 branches and merchants with digital signatures.

Digital Transformation 92

Digital Transformation Sales Forecasting Data Lake 92

DataKitchen

DECEMBER 9, 2022

ChatGPT> DataOps, or data operations, is a set of practices and technologies that organizations use to improve the speed, quality, and reliability of their data analytics processes. Overall, DataOps is an essential component of modern data-driven organizations. Query> DataOps. Query> Write an essay on DataOps.

Machine Learning 130

Machine Learning Data-driven Optimization Data Analytics 130

AWS Big Data

MARCH 26, 2024

The AWS modern data architecture shows a way to build a purpose-built, secure, and scalable data platform in the cloud. Learn from this to build querying capabilities across your data lake and the data warehouse. About the Authors Ismail Makhlouf is a Senior Specialist Solutions Architect for Data Analytics at AWS.

Data Strategy 105

Data Strategy Strategy Data Warehouse Prescriptive Analytics 105

AWS Big Data

MARCH 12, 2024

In recent years, data lakes have become a mainstream architecture, and data quality validation is a critical factor to improve the reusability and consistency of the data. Data quality rulesets We categorize some of the built-in AWS Glue Data Quality rule types to define the benchmark structure.

Data Quality 115

Data Quality Measurement Testing Visualization 115

Sisense

MAY 11, 2021

You can’t talk about data analytics without talking about data modeling. These two functions are nearly inseparable as we move further into a world of analytics that blends sources of varying volume, variety, veracity, and velocity. Big data analytics case study: SkullCandy.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

IBM Big Data Hub

MAY 19, 2023

TDC Digital struggled with operational costs due to the unpredictability of the billing system TDC Digital encountered difficulties in accurately forecasting their monthly bills due to hidden charges in the billing process.

Unstructured Data 74

Unstructured Data Data Processing Manufacturing Data Lake 74

AWS Big Data

JULY 13, 2023

Generating business outcomes In 4 days, the Altron SI team left the Immersion Day workshop with the following: A data pipeline ingesting data from 21 sources (SQL tables and files) and combining them into three mastered and harmonized views that are cataloged for Altron’s B2B accounts.

Optimization 98

Optimization B2B Data Quality Sales 98

AWS Big Data

AUGUST 27, 2024

You can collect the metrics for a longer duration to observe trends on the usage of Amazon EMR resources and use that for forecasting purposes. About the Authors Raj Patel is AWS Lead Consultant for Data Analytics solutions based out of India. He specializes in building and modernising analytical solutions.

Metrics 105

Metrics Dashboards Data Lake Optimization 105

Andrew White

JANUARY 11, 2021

Note: Delivery of data, analytics solutions and the sustainment of technology, data and services is a question. Does Data warehouse as a software tool will play role in future of Data & Analytics strategy? Data lakes don’t offer this nor should they. Governance. Product Management.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

IBM Big Data Hub

DECEMBER 7, 2023

C-OLAP optimized data storage for faster query processing, while IM-OLAP stored data in memory to minimize data access latency and enable real-time analytics. Today, OLAP database systems have become comprehensive and integrated data analytics platforms, addressing the diverse needs of modern businesses.

OLAP 57

OLAP Slice and Dice Cost-Benefit Data Warehouse 57

Alation

JANUARY 27, 2022

How do businesses transform raw data into competitive insights? Data analytics. Modern businesses are increasingly leveraging analytics for a range of use cases. Analytics can help a business improve customer relationships, optimize advertising campaigns, develop new products, and much more. What is Data Analytics?

Data Governance 52

Data Governance Analytics Cost-Benefit Data-driven 52

AWS Big Data

FEBRUARY 6, 2023

Use case overview Migrating Hadoop workloads to Amazon EMR accelerates big data analytics modernization, increases productivity, and reduces operational cost. Refactoring coupled compute and storage to a decoupling architecture is a modern data solution. Jiseong Kim is a Senior Data Architect at AWS ProServe.

Cost-Benefit 52

Cost-Benefit Data Lake Dashboards Big Data 52

CIO Business Intelligence

FEBRUARY 19, 2024

Il nuovo ruolo dell’IT: la business continuity Deligia ha costruito la sua strategia per la business continuity sulle fondamenta tecnologiche di big data , analytics, automazione e IA. Questo dialogo IT-business si basa per Italo su un’infrastruttura IT flessibile che ha numerose componenti di automazione e di IA e dà il necessario.

IT 98

IT KPI Data Lake Digital Transformation 98

IBM Big Data Hub

OCTOBER 12, 2023

Stored data is predicted to see a 250% growth by 2025, 1 the results of which are likely to include a greater number of disconnected silos and higher associated costs. To optimize data analytics and AI workloads, organizations need a data store built on an open data lakehouse architecture.

Cost-Benefit 76

Cost-Benefit Metadata Data Governance Optimization 76

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 Sales 52

IBM Big Data Hub

OCTOBER 16, 2023

Marketers use ML for lead generation, data analytics, online searches and search engine optimization (SEO). ML algorithms and data science are how recommendation engines at sites like Amazon, Netflix and StitchFix make recommendations based on a user’s taste, browsing and shopping cart history.

Machine Learning 48

Machine Learning Marketing Forecasting Modeling 48

Jet Global

OCTOBER 22, 2020

Most organizations are looking for sophisticated reporting and analytics, but they have little appetite for managing the highly complicated infrastructure that goes with it. Let’s begin with an overview of how data analytics works for most business applications. This leads to the second option, which is a data warehouse.

Modeling 52

Modeling OLAP Reporting Sales 52

Alation

AUGUST 2, 2022

Customer centricity requires modernized data and IT infrastructures. Too often, companies manage data in spreadsheets or individual databases. This means that you’re likely missing valuable insights that could be gleaned from data lakes and data analytics. Customer Data Privacy And Security.

Cost-Benefit 52

Cost-Benefit Metrics Strategy Data Lake 52

CIO Business Intelligence

MAY 24, 2022

Unlocking the value of data with in-depth advanced analytics, focusing on providing drill-through business insights. Providing a platform for fact-based and actionable management reporting, algorithmic forecasting and digital dashboarding. New data scientists can then be onboarded more easily and efficiently.

Data-driven 98

Data-driven Data Lake Data Warehouse Machine Learning 98

datapine

AUGUST 29, 2022

The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. The rate at which data is generated has increased exponentially in recent years. Essential Big Data And Data Analytics Insights. million searches per day and 1.2

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Jet Global

JANUARY 30, 2025

Trino, an open-source distributed SQL query engine , has emerged as a game-changer for high-speed analytics across diverse environments. Its distributed architecture empowers organizations to query massive datasets across databases, data lakes, and cloud platforms with speed and reliability.

Data Lake 64

Data Lake Data-driven Optimization Enterprise 64

Jet Global

MAY 9, 2024

A data pipeline is a series of processes that move raw data from one or more sources to one or more destinations, often transforming and processing the data along the way. Data pipelines support data science and business intelligence projects by providing data engineers with high-quality, consistent, and easily accessible data.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Jet Global

OCTOBER 1, 2024

Trino allows users to run ad hoc queries across massive datasets, making real-time decision-making a reality without needing extensive data transformations. This is particularly valuable for teams that require instant answers from their data. Data Lake Analytics: Trino doesn’t just stop at databases.

Dashboards 52

Dashboards Data Lake Reporting Cost-Benefit 52

Jet Global

JUNE 13, 2022

When migrating to the cloud, there are a variety of different approaches you can take to maintain your data strategy. Those options include: Data lake or Azure Data Lake Services (ADLS) is Microsoft’s new data solution, which provides unstructured date analytics through AI.

Reporting 52

Reporting Data Lake Sales Operational Reporting 52

Jet Global

APRIL 26, 2022

Many of you already increased efficiency with Jet Analytics by eliminating complex data management structures, speeding up report building, and introducing robust budgeting and forecasting. Now we are embedding our D365 F&SCM knowledge into Jet Reports.

Reporting 52

Reporting Finance Cost-Benefit Forecasting 52

Jet Global

SEPTEMBER 30, 2022

What are the best practices for analyzing cloud ERP data? How can we respond in real time to the company’s analytic needs? Data Management. How do we create a data warehouse or data lake in the cloud using our cloud ERP? How do I access the legacy data from my previous ERP? Self-service BI.

Reporting 52

Reporting Data Warehouse Operational Reporting Enterprise 52