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 222

Forecasting Modeling Analytics Deep Learning 222

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 214

Forecasting Data Science Publishing Analytics 214

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 304

Deep Learning Forecasting Data Science Publishing 304

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 305

Modeling Forecasting IT Data Science 305

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 132

Enterprise Cost-Benefit Forecasting Strategy 132

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 84

Business Analytics Reporting Analytics Finance 84

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 Modeling 98

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 93

Data-driven Finance Digital Transformation Operational Reporting 93

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 141

Data mining Data-driven Statistics OLAP 141

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 Visualization Statistics 52

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 105

Data Lake Data Warehouse Unstructured Data Big Data 105

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 84

Data Science Data Analytics Prescriptive Analytics Analytics 84

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 113

Recreation/Entertainment Data Lake Data Warehouse Unstructured Data 113

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.

Optimization 80

Optimization Manufacturing Cost-Benefit Risk 80

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 93

Unstructured Data Data-driven ROI Machine Learning 93

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

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 87

Metadata Metrics Data-driven Modeling 87

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 86

Unstructured Data Recreation/Entertainment Structured Data Reporting 86

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 103

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 103

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 97

Visualization Cost-Benefit Optimization B2B 97

bridgei2i

FEBRUARY 8, 2019

Sales forecasting: Accurately forecasting sales is one of the most difficult tasks for most sales managers. Current voice-based sales assistants mostly include products that help the sales rep fill in more of the structured data we have already discussed in various contexts. Certainly not.

Sales 40

Sales B2B Cost-Benefit Structured Data 40

IBM Big Data Hub

APRIL 18, 2023

These include computer vision and sound recognition systems that help automate curation and editing of exciting moments in sports; systems that extract summaries or factoids from vast amounts of structured and unstructured natural language data; and systems that forecast and predict player performance and winners.

Recreation/Entertainment 77

Recreation/Entertainment Broadcasting Unstructured Data Consulting 77

Cloudera

SEPTEMBER 15, 2022

Today’s platform owners, business owners, data developers, analysts, and engineers create new apps on the Cloudera Data Platform and they must decide where and how to store that data. Structured data (such as name, date, ID, and so on) will be stored in regular SQL databases like Hive or Impala databases.

Metadata 87

Metadata Big Data Optimization Unstructured Data 87

Sisense

MARCH 14, 2021

Looking at the diagram, we see that Business Intelligence (BI) is a collection of analytical methods applied to big data to surface actionable intelligence by identifying patterns in voluminous data. As we move from right to left in the diagram, from big data to BI, we notice that unstructured data transforms into structured data.

Big Data 52

Big Data IoT Data Warehouse Data-driven 52

bridgei2i

FEBRUARY 21, 2019

Traditional algorithmic solutions around structured data have gained and continue to gain traction. A textbook example of t raditional analytics techniques revolving around structured data in global enterprise sales organizations. Examples of AI Solutions Usage. and deliver incremental value for the most part.

Sales 40

Sales Structured Data Forecasting Enterprise 40

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

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 92

Manufacturing Analytics Big Data Data mining 92

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 368

Data Science Publishing Analytics Forecasting 368

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

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 348

Data Science Publishing Analytics Forecasting 348

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 348

Data Science Publishing Technology Analytics 348

Cloudera

DECEMBER 15, 2017

Manufacturing can move from working with approximations to insight based on actual data, as it happens. Overall performance would be improved through better forecasts of product demand and production, through the understanding of plant operations across multiple metrics, and by being able to provide service and support to customers faster.

Manufacturing 40

Manufacturing IoT Machine Learning Data-driven 40

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 306

Visualization Data Science Publishing Analytics 306

IBM Big Data Hub

JULY 19, 2023

Supply Chain: Demand forecasting, supply chain optimization, risk assessment and mitigation. We started with prepping the proprietary structured data to clean and make it ready in a format to be able to pass within prompts for fine-tuning and inferencing. The high-level pipeline for this process is shown in Figure 1.

Consulting 65

Consulting Machine Learning Manufacturing Optimization 65

AWS Big Data

MARCH 26, 2024

You can benefit from its ML integrations for automated insights like forecasting and anomaly detection or natural language querying with Amazon Q in QuickSight , direct data connectivity from various sources, and pay-per-session pricing. The following diagram shows a sample C360 dashboard built on Amazon QuickSight.

Data Strategy 67

Data Strategy Strategy Data Warehouse Prescriptive Analytics 67

AWS Big Data

APRIL 19, 2023

Every day, customers are challenged with how to manage their growing data volumes and operational costs to unlock the value of data for timely insights and innovation, while maintaining consistent performance. As data workloads grow, costs to scale and manage data usage with the right governance typically increase as well.

Data Warehouse 55

Data Warehouse Data Lake Unstructured Data Optimization 55

Jet Global

MARCH 2, 2021

That’s because modern BI tools were not designed to work with the unique challenges of finance data. They prefer nicely structured data, and they don’t work so well with the ragged hierarchies of your typical chart of accounts. Extending Yardi’s Capabilities.

Reporting 98

Reporting Slice and Dice Finance Operational Reporting 98