IBM Big Data Hub

APRIL 28, 2022

Problem : Traditionally, developing a solid backorder forecast model that takes every factor into consideration would take anywhere from weeks to months as sales data, inventory or lead-time data and supplier data would all reside in disparate data warehouses. How does a data fabric impact the bottom line?

Metadata 78

Metadata Data Warehouse Forecasting Predictive Modeling 78

Cloudera

JANUARY 20, 2021

Most of what is written though has to do with the enabling technology platforms (cloud or edge or point solutions like data warehouses) or use cases that are driving these benefits (predictive analytics applied to preventive maintenance, financial institution’s fraud detection, or predictive health monitoring as examples) not the underlying data.

Digital Transformation 110

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 110

datapine

MARCH 31, 2022

Does the idea of discovering patterns in large volumes of information make you want to roll up your sleeves and get to work? Moreover, companies that use BI analytics are five times more likely to make swifter, more informed decisions. This could involve anything from learning SQL to buying some textbooks on data warehouses.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

AWS Big Data

OCTOBER 26, 2023

Amazon Redshift is a fast, petabyte-scale, cloud data warehouse that tens of thousands of customers rely on to power their analytics workloads. As a data scientist building an ML model, you may have access to the identifying information but not the transaction information, and having access to a feature store solves this.

Modeling 62

Modeling Data Warehouse Machine Learning Testing 62

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 104

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 104

CIO Business Intelligence

OCTOBER 13, 2022

The financial services industry must adhere to a different set of security requirements, from protecting Personal Identifiable Information (PII) to safeguards that meet Payment Card Industry (PCI) compliance, meant to protect credit card holder’s information. Next stop: Migrating a complex forecasting module planned for later in 2022.

Insurance 97

Insurance Data Warehouse Manufacturing Forecasting 97

CIO Business Intelligence

MARCH 16, 2022

We are all familiar with the EMR (electronic medial records) adoption and maturity models designed by HIMSS (Healthcare Information and Management Systems Society). The digital transformation of any healthcare entity has a deep dependency on the underlying hospital information system.

Technology 101

Technology Digital Transformation Business Intelligence Data Warehouse 101

IBM Big Data Hub

SEPTEMBER 19, 2023

How effectively and efficiently an organization can conduct data analytics is determined by its data strategy and data architecture , which allows an organization, its users and its applications to access different types of data regardless of where that data resides.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

CIO Business Intelligence

JUNE 21, 2023

We were one of the most impacted industries in the pandemic economy,” says Peck, who joined Sysco as EVP and chief information and digital officer in December 2020. The base engine for the e-commerce and data warehouse is all custom code. The pandemic forced us to review our company and the entire industry.”

IT 70

IT B2B Digital Transformation Sales 70

Octopai

JANUARY 8, 2020

That means that now most companies that do business with consumers in California have to protect those customers’ personal data. CCPA goes further than the European Union’s General Data Protection Regulation ( GDPR ) in what constitutes “personal data.” You can’t do this easily without automated data lineage tools.

Metadata 54

Metadata Key Performance Indicator OLAP Forecasting 54

CIO Business Intelligence

SEPTEMBER 6, 2022

He found a rich collection of data assets, including information on over 2.2 Behind the flagship brand, though, he says data remained scattered in siloes across many legacy business units and applications, with limited automation, many glossaries, and complex data lineage, and stewardship making it hard to govern and audit.

IT 83

IT Forecasting Data Lake Enterprise 83

CIO Business Intelligence

JUNE 14, 2023

The certification focuses on the seven domains of the analytics process: business problem framing, analytics problem framing, data, methodology selection, model building, deployment, and lifecycle management. It requires completion of the CAP exam and adherence to the CAP Code of Ethics.

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126

CIO Business Intelligence

DECEMBER 1, 2022

Now halfway into its five-year digital transformation, PepsiCo has checked off many important boxes — including employee buy-in, Kanioura says, “because one way or another every associate in every plant, data center, data warehouse, and store are using a derivative of this transformation.”

Digital Transformation 128

Digital Transformation IoT Data-driven KPI 128

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. Batch processing is not the best fit in this scenario.

Data Lake 90

Data Lake Unstructured Data Management Modeling 90

Sisense

MARCH 14, 2021

Big data challenges and solutions. When you have big data, what you really want is to extract the real value of the intelligence contained within those possibly-zettabytes of would-be information. To best understand how to do this, let’s dig into the challenges of big data and look at a wave of emerging issues.

Big Data 52

Big Data IoT Data Warehouse Data-driven 52

Smart Data Collective

JULY 20, 2021

This tool helps professionals collect real-time pipeline trends, sales engagement, and historical performance that help sales leaders revolutionize forecasting by predicting the sales revenue efficiently. 7 Conga Composer: Conga composer is an effective integration toolthat helps you manage and update the data.

Sales 141

Sales Big Data Marketing Software 141

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

Cloudera

DECEMBER 20, 2022

This scenario suggests that in the not too distant future, there will be a large “long-tail” of producers that will have to be taken into account for any production forecasting model. If you are interested in chatting about how to manage the full data lifecycle with CDP, let your account team know or contact us directly.

Optimization 81

Optimization Data Analytics Analytics Cost-Benefit 81

CIO Business Intelligence

SEPTEMBER 8, 2022

“The enormous potential of real-time data not only gives businesses agility, increased productivity, optimized decision-making, and valuable insights, but also provides beneficial forecasts, customer insights, potential risks, and opportunities,” said Krumova. This is often made simpler if the number of platforms is kept to a minimum.

Cost-Benefit 112

Cost-Benefit Internet of Things Data-driven Data Lake 112

CIO Business Intelligence

JULY 18, 2022

Data is in constant flux, due to exponential growth, varied formats and structure, and the velocity at which it is being generated. Data is also highly distributed across centralized on-premises data warehouses, cloud-based data lakes, and long-standing mission-critical business systems such as for enterprise resource planning (ERP).

Cost-Benefit 74

Cost-Benefit Data Lake Data Warehouse Enterprise 74

Jet Global

JUNE 5, 2019

BI software offers enterprise businesses the opportunity to connect disparate data sources into one unified source, collate and structure the data, and offer an interface for end-users to extract reports and dashboards that can drive more informed business decisions. Let’s introduce the concept of data mining.

Data mining 75

Data mining Business Intelligence OLAP Key Performance Indicator 75

Jet Global

JANUARY 15, 2021

The lack of ability to get meaningful information out of ERP systems continues to be one of the top complaints of business executives across every industry. A non-developer can build a custom data warehouse with Jet Analytics in as little as 30 minutes. Visit insightsoftware.com for more information and request a free demo.

Cost-Benefit 72

Cost-Benefit Data Lake Reporting OLAP 72

IBM Big Data Hub

JULY 6, 2023

It requires data science tools to first clean, prepare and analyze unstructured big data. Machine learning can then “learn” from the data to create insights that improve performance or inform predictions. Data from various sources, collected in different forms, require data entry and compilation.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

FineReport

JULY 22, 2021

Business Intelligence(BI) is defined as the concept of using modern data warehouse technology, online analysis and processing technology, data mining and data display technology for data analysis to achieve business value. The accuracy of store customer flow forecast has now reached 95%. Conclusion.

Business Intelligence 52

Business Intelligence Sales Marketing Forecasting 52

IBM Big Data Hub

OCTOBER 16, 2023

ML also helps businesses forecast and decrease customer churn (the rate at which a company loses customers), a widespread use of big data. AI and ML use decades of stock market data to forecast trends and suggest whether to buy or sell. Machine learning and transportation ML informs a lot of our transportation these days.

Machine Learning 48

Machine Learning Marketing Forecasting Modeling 48

Jet Global

DECEMBER 8, 2020

Over 25,000 organizations worldwide rely on insightsoftware’s portfolio of best-in-class reporting, analytics, budgeting, forecasting, consolidation, and tax solutions to provide them with increased productivity, visibility, accuracy, and compliance. Power BI Without the Risk.

Finance 52

Finance Risk Reporting Software 52

Jet Global

JULY 11, 2019

One of those areas is called predictive analytics, where companies extract information from existing data to determine buying patterns and forecast future trends. In this blog post, we are going to cover the role of business intelligence in demand forecasting, an area of predictive analytics focused on customer demand.

Business Intelligence 72

Business Intelligence Forecasting Data Warehouse Predictive Analytics 72

datapine

MAY 29, 2019

Effective decision-making processes in business are dependent upon high-quality information. That’s a fact in today’s competitive business environment that requires agile access to a data storage warehouse , organized in a manner that will improve business performance, deliver fast, accurate, and relevant data insights.

Business Intelligence 196

Business Intelligence Data Warehouse Dashboards Visualization 196

Jet Global

OCTOBER 1, 2019

One of those areas is called predictive analytics, where companies extract information from existing data to determine buying patterns and forecast future trends. In this blog post, we are going to cover the role of business intelligence in demand forecasting, an area of predictive analytics focused on customer demand.

Business Intelligence 40

Business Intelligence Forecasting Data Warehouse Predictive Analytics 40

AWS Big Data

FEBRUARY 1, 2023

This helped us automatically crawl the data from Amazon S3 and generate the schema and tables. AWS Glue Data Catalog The Data Catalog helped us maintain the catalog as an index to the data’s location, schema, and runtime metrics in Amazon S3. Before the implementation of this system, one dataset took 1 month to onboard.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

IBM Big Data Hub

APRIL 19, 2023

Through the formation of this group, the Assessment Services division discovered multiple enterprise resource planning instances and payroll systems, a lack of standard reporting, and siloed budgeting and forecasting processes residing within a labyrinth of spreadsheets. It was chaotic.

Technology 81

Technology Forecasting Data Warehouse Reporting 81

Sisense

DECEMBER 3, 2019

On-demand compute resources and MPP cloud data warehouses emerged. Yet 15 years after the launch of AWS , most organizations still aren’t meeting their goals of delivering value from data to the organization. Optimize raw data using materialized views. In-Warehouse Data Prep with Python and R.

Data Warehouse 90

Data Warehouse Analytics Digital Transformation Forecasting 90

Sisense

JANUARY 6, 2020

Analytics and sales should partner to forecast new business revenue and manage pipeline, because sales teams that have an analyst dedicated to their data and trends, drive insights that optimize workflows and decision making. Then, use a data model to model the data into a single unified source of truth. Was it pushed?

Sales 91

Sales Forecasting Snapshot Management 91

CIO Business Intelligence

DECEMBER 21, 2022

“For businesses to stay in touch with the market, be responsive, and create products that connect with consumers, it’s important to harness the insights that come out of that information.” Stout, for instance, explains how Schellman addresses integrating its customer relationship management (CRM) and financial data. “A

IT 129

IT Business Intelligence Sales Key Performance Indicator 129

IBM Big Data Hub

DECEMBER 7, 2023

Today, OLAP database systems have become comprehensive and integrated data analytics platforms, addressing the diverse needs of modern businesses. They are seamlessly integrated with cloud-based data warehouses, facilitating the collection, storage and analysis of data from various sources.

OLAP 58

OLAP Slice and Dice Cost-Benefit Data Warehouse 58

CIO Business Intelligence

OCTOBER 10, 2022

Information was collected from multiple, disparate data sources, and planners were using different tools. The company also wanted to improve forecasting accuracy by harnessing the power of intelligent technologies. Achieve 10x faster-planning cycles despite having larger data volumes .

Enterprise 52

Enterprise Forecasting Descriptive Analytics Digital Transformation 52

Cloudera

FEBRUARY 8, 2021

Data Enrichment – data pipeline processing, aggregation and management to ready the data for further analysis. Reporting – delivering business insight (sales analysis and forecasting, budgeting as examples). ECC will use Cloudera Data Engineering (CDE) to address the above data challenges (see Fig.

Manufacturing 118

Manufacturing Data Warehouse Sales Predictive Analytics 118