Analytics Vidhya

OCTOBER 28, 2020

Overview This article will see how to create a stacked sequence to sequence the LSTM model for time series forecasting in Keras/ TF 2.0. . The post Multivariate Multi-step Time Series Forecasting using Stacked LSTM sequence to sequence Autoencoder in Tensorflow 2.0 / Keras appeared first on Analytics Vidhya.

Forecasting 244

Forecasting Modeling Analytics Deep Learning 244

Analytics Vidhya

OCTOBER 21, 2020

This article was published as a part of the Data Science Blogathon. The post Examining the Simple Linear Regression method for forecasting stock prices using Excel appeared first on Analytics Vidhya. Introduction Even though there are myriad complex methods and systems aimed at.

Forecasting 249

Forecasting Data Science Publishing Analytics 249

CIO Business Intelligence

FEBRUARY 6, 2025

For example, at a company providing manufacturing technology services, the priority was predicting sales opportunities, while at a company that designs and manufactures automatic test equipment (ATE), it was developing a platform for equipment production automation that relied heavily on forecasting. And guess what?

Unstructured Data 115

Unstructured Data Manufacturing Data Governance Sales 115

Analytics Vidhya

FEBRUARY 4, 2021

ArticleVideos This article was published as a part of the Data Science Blogathon. INTRODUCTION Stock prediction is the act of forecasting the future value. The post Modelling stock price using financial ratios and its applications to make buy/sell/hold decisions appeared first on Analytics Vidhya.

Modeling 337

Modeling Forecasting IT Data Science 337

Analytics Vidhya

SEPTEMBER 6, 2021

This article was published as a part of the Data Science Blogathon Introduction: Artificial Neural Networks (ANN) are algorithms based on brain function and are used to model complicated patterns and forecast issues. The […]. The post Introduction to Artificial Neural Networks appeared first on Analytics Vidhya.

Deep Learning 318

Deep Learning Forecasting Data Science Publishing 318

CIO Business Intelligence

NOVEMBER 22, 2024

Soumya Seetharam, CDIO at Corning, said the manufacturer has been on its data journey for a few years, with more than 70% of its business transaction data being ingested into a data platform. But that’s only structured data, she emphasized.

Unstructured Data 136

Unstructured Data Testing Modeling Enterprise 136

Smart Data Collective

SEPTEMBER 23, 2020

The market for data warehouses is booming. One study forecasts that the market will be worth $23.8 While there is a lot of discussion about the merits of data warehouses, not enough discussion centers around data lakes. We talked about enterprise data warehouses in the past, so let’s contrast them with data lakes.

Data Lake 135

Data Lake Data Warehouse Unstructured Data Big Data 135

CIO Business Intelligence

MAY 21, 2024

We’re leveraging the large graphical models with complex structured data, establishing those interrelationships causation and correlation,” McGuinness says. MakeShift joins companies such as Medico, HSBC, Spirit Halloween, Taager.com, Future Metals, and WIO in deploying Ikigai Labs’ no-code models for tabular and time-series data.

IT 131

IT Cost-Benefit Experimentation Forecasting 131

CIO Business Intelligence

NOVEMBER 14, 2022

They emphasize access to and manipulation of large databases of structured data, often a time-series of internal company data and sometimes external data. Forecasting models. XLSTAT is an Excel data analysis add-on geared for corporate users and researchers. Model-driven DSS. Optimization analysis models.

Data mining 144

Data mining Data-driven Statistics OLAP 144

Analytics Vidhya

AUGUST 22, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction The purpose of this article is to understand what is granger. The post Granger Causality in Time Series – Explained using Chicken and Egg problem appeared first on Analytics Vidhya.

Data Science 372

Data Science Publishing Analytics Forecasting 372

Analytics Vidhya

MAY 25, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Index Introduction Understanding Bitcoin Technologies used Getting real-time cryptocurrency data (bitcoin). The post Bitcoin Price Prediction Using Recurrent Neural Networks and LSTM appeared first on Analytics Vidhya.

Data Science 358

Data Science Publishing Technology Analytics 358

Analytics Vidhya

AUGUST 3, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction to Time Series Analysis Time Series Analysis is the. The post Holt Winter’s Method for Time Series Analysis appeared first on Analytics Vidhya.

Data Science 358

Data Science Publishing Analytics Forecasting 358

Smart Data Collective

FEBRUARY 3, 2021

Big data algorithms that understand these principles can use them to forecast the direction of the stock market. Progress made in computing and analytics has enabled financial experts to analyze data that was impossible to analyze a decade ago. Ten years ago, computers used to focus on analyzing structured data alone.

Big Data 140

Big Data Marketing Data Analytics Analytics 140

CIO Business Intelligence

APRIL 25, 2022

The data lakehouse is a relatively new data architecture concept, first championed by Cloudera, which offers both storage and analytics capabilities as part of the same solution, in contrast to the concepts for data lake and data warehouse which, respectively, store data in native format, and structured data, often in SQL format.

Recreation/Entertainment 119

Recreation/Entertainment Data Lake Data Warehouse Unstructured Data 119

CIO Business Intelligence

APRIL 4, 2024

To keep up, Redmond formed a steering committee to identify opportunities based on business objectives, and whittled a long list of prospective projects down to about a dozen that range from inventory and supply chain management to sales forecasting. “We We don’t want to just go off to the next shiny object,” she says. “We

Enterprise 134

Enterprise Cost-Benefit Forecasting Sales 134

CIO Business Intelligence

AUGUST 30, 2022

Data has always been central to agile business planning, forecasting and analysis – all tools which have become central to the modern CFO role. To enable this, Teradata’s multi-cloud software integrates data fast across finance systems – such as Oracle, PeopleSoft, and SAP – to connect and integrate in near real-time.

Data-driven 98

Data-driven Finance Digital Transformation Operational Reporting 98

Domino Data Lab

AUGUST 9, 2021

For a model-driven enterprise, having access to the appropriate tools can mean the difference between operating at a loss with a string of late projects lingering ahead of you or exceeding productivity and profitability forecasts. It’s most helpful in analyzing structured data. This is no exaggeration by any means.

Modeling 111

Modeling Deep Learning Machine Learning Statistics 111

Analytics Vidhya

FEBRUARY 23, 2021

ArticleVideos This article was published as a part of the Data Science Blogathon. Introduction Time series is a series of data that are gathered. The post Visualization in Time Series using Heatmaps in Python appeared first on Analytics Vidhya.

Visualization 319

Visualization Data Science Publishing Analytics 319

CIO Business Intelligence

JUNE 13, 2024

The rising demand for data analysts The data analyst role is in high demand, as organizations are growing their analytics capabilities at a rapid clip. In July 2023, IDC forecast big data and analytics software revenue would hit $122.3 Data analyst role Data analysts mostly work with an organization’s structured data.

Data-driven 98

Data-driven Statistics Business Intelligence Data Collection 98

IBM Big Data Hub

APRIL 26, 2023

Switching to IBM Business Analytics gave Jabil the ability to gather and structure data in a centralized approach for management. The integrated solution plays a role in reporting, analysis, planning and forecasting. The portfolio contributes to the efficient management of their incredibly complex supply chain.

Business Analytics 76

Business Analytics Reporting Analytics Finance 76

Smart Data Collective

JUNE 11, 2019

Building a robust data platform can transform the way manufacturers handle their customers and supplies. Not only are real-time results available, but big data can also provide demand forecasts to guide the production chain based on historical data sales trends in order to stay on top of the demand.

Manufacturing 111

Manufacturing Analytics Big Data Data mining 111

CIO Business Intelligence

DECEMBER 13, 2023

The evolution of AI and the use of structured and unstructured data When discriminative AI rose to prominence in sectors such as banking, healthcare, retail, and manufacturing, it was primarily trained on and used to analyze, classify, or make predictions about unstructured data.

Unstructured Data 98

Unstructured Data IoT Metadata Manufacturing 98

Analytics Vidhya

APRIL 26, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. The post How to check Stationarity of Data in Python appeared first on Analytics Vidhya. Introduction Hello readers! In our routine life, we come.

Data Science 268

Data Science Publishing Analytics Forecasting 268

Cloudera

NOVEMBER 15, 2021

The International Data Corporation (IDC) estimates that by 2025 the sum of all data in the world will be in the order of 175 Zettabytes (one Zettabyte is 10^21 bytes). Most of that data will be unstructured, and only about 10% will be stored. Less will be analysed.

Unstructured Data 90

Unstructured Data Recreation/Entertainment Structured Data Reporting 90

Analytics Vidhya

JUNE 11, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Cutting straight right to the chase, Hurst exponent is a. The post Using Hurst Exponent to analyse the Stock and Crypto market with Python appeared first on Analytics Vidhya.

Marketing 264

Marketing Data Science Publishing Analytics 264

CIO Business Intelligence

FEBRUARY 16, 2023

Selling the value of data transformation Iyengar and his team are 18 months into a three- to five-year journey that started by building out the data layer — corralling data sources such as ERP, CRM, and legacy databases into data warehouses for structured data and data lakes for unstructured data.

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Data Warehouse 105

Analytics Vidhya

APRIL 27, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction: Hello Readers! Ever wonder what are the factors which. The post Impact of Global Stock Market on Indian stock Index in R appeared first on Analytics Vidhya.

Marketing 237

Marketing Data Science Publishing Analytics 237

IBM Big Data Hub

SEPTEMBER 19, 2023

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

Sisense

JUNE 8, 2020

“The cloud data platform enables a data marketplace where organizations can obtain secure and governed consumer and government data, such as COVID-19 data, to make timely decisions in challenging times.”. In short, cloud data warehouses and BI platforms have revolutionized the way organizations share and use data.

Data Warehouse 89

Data Warehouse Data-driven Dashboards Sales 89

FineReport

JULY 18, 2022

Except for the rows and columns, you can also display your data through graphs and charts. For more advanced data analysis, Excel provides you with pivot tables, enabling you to analyze structured data through multiple dimensions quickly and effectively. SAS Forecasting. From SAS Forecast Server. From KNIME.

Forecasting 52

Forecasting Dashboards Statistics Visualization 52

FineReport

FEBRUARY 5, 2020

Users themselves drag and drop data from different sources to create analysis models, and then the system automatically processes the data through intelligent analysis and automatic correlation, including structured data and unstructured data.

Metadata 98

Metadata Dashboards Informatics Visualization 98

AWS Big Data

FEBRUARY 20, 2024

With this zero-ETL approach, Amazon Redshift Streaming Ingestion enables you to connect to multiple Kinesis data streams or Amazon Managed Streaming for Apache Kafka (Amazon MSK) data streams and pull data directly to Amazon Redshift without staging data in Amazon Simple Storage Service (Amazon S3).

Visualization 113

Visualization Cost-Benefit Optimization B2B 113

AWS Big Data

APRIL 2, 2024

Without the right metadata and documentation, data consumers overlook valuable datasets relevant to their use case or spend more time going back and forth with data producers to understand the data and its relevance for their use case—or worse, misuse the data for a purpose it was not intended for.

Metadata 101

Metadata Metrics Data-driven Contextual Data 101

IBM Big Data Hub

JULY 26, 2023

AI helps address this problem by combining aspects like demand forecasting, last – mile delivery , and routing optimization. This use case shows how AI can help by processing unstructured image and video data in addition to structured data in the previous examples.

Manufacturing 73

Manufacturing Optimization Cost-Benefit Reporting 73

IBM Big Data Hub

NOVEMBER 29, 2023

Furthermore, AI algorithms’ capacity for recognizing patterns—by learning from your company’s unique historical data—can empower businesses to predict new trends and spot anomalies sooner and with low latency.

Unstructured Data 84

Unstructured Data Data-driven ROI Machine Learning 84

Analytics Vidhya

MAY 20, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Time series data consists of a set of observations in which. The post Working with Stock Market Time Series Data using Facebook Prophet appeared first on Analytics Vidhya.

Marketing 194

Marketing Data Science Publishing Analytics 194

Sisense

MAY 11, 2021

We’re going to nerd out for a minute and dig into the evolving architecture of Sisense to illustrate some elements of the data modeling process: Historically, the data modeling process that Sisense recommended was to structure data mainly to support the BI and analytics capabilities/users.

Modeling 84

Modeling Big Data IoT Data Warehouse 84