Smart Data Collective

SEPTEMBER 26, 2019

Relevant, complete, accurate, and meaningful data can help a business gain a competitive edge over its competitors which is the first step towards scaling operations and becoming a market leader. As such, any company looking to stay relevant both now and, in the future, should have data management initiatives right.

Big Data 255

Big Data Banking Cloud Computing Artificial Intelligence 255

Astera

DECEMBER 16, 2022

These large data volumes present numerous data management challenges for companies, especially those with outdated management systems. Let’s explore the 7 data management challenges that tech companies face and how to overcome them. Data Management Challenges. See Case Sudy.

Data Management 52

Data Management Data Warehouse Big Data Procurement 52

Astera

DECEMBER 16, 2022

These large data volumes present numerous data management challenges for companies, especially those with outdated management systems. Let’s explore the 7 data management challenges that tech companies face and how to overcome them. Data Management Challenges. See Case Sudy.

Data Management 52

Data Management Data Warehouse Big Data Procurement 52

Astera

DECEMBER 2, 2022

These large data volumes present numerous challenges for companies, especially those with outdated data management systems. Let’s explore the 7 data management challenges that tech companies face and how to overcome them. Data Management Challenges. Challenge#1: Accessing organizational data.

Data Management 52

Data Management Data Warehouse Big Data Procurement 52

Astera

AUGUST 22, 2023

Due to the growing volume of data and the necessity for real-time data exchange, effective management of data has grown increasingly important for businesses. As healthcare organizations are adapting to this change, Electronic Data Interchange (EDI) is emerging as a transformational solution.

Healthcare 52

Healthcare Data Management Supply Chain Pharmaceutical 52

Astera

JANUARY 2, 2024

Relying on this data to power business decisions is like setting sail without a map. This is why organizations have effective data management in place. But what exactly is data management? What Is Data Management? As businesses evolve, so does their data.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52

Data Pine

SEPTEMBER 4, 2019

Once companies gain regular insights into their KPIs, they see deeper into their data and generate actionable insight. The traditional types of reporting don’t meet the requirements of today’s data management nor can they produce efficiency like an interactive dashboard where sets of data are presented in a complementary way.

Supply Chain 105

Supply Chain Logistics Retail Visualization 105

Astera

JUNE 21, 2024

These needs include data integration, automation, and real-time data access. Breaking Down Data Silos Traditional software applications create data silos. A unified system allows organizations to have accessible data in one place, which makes data-driven decisions faster and more effective.

Real-time Data 52

Real-time Data Innovation Monitoring Data Architecture 52

Astera

DECEMBER 10, 2024

Manually processing invoices requires a lot of time, effort, and resources, and considering the organizations fiscal health depends on it, why trust it to spreadsheets and papers? The fact that 50% of the invoices an average enterprise receives are still paper documents highlights the need for digital transformation in AP document management.

Procurement 52

Procurement Finance Documentation Monitoring 52

Domo

MARCH 6, 2017

retailers are investing heavily in cross-channel data management systems and aggressively recruiting the employees they need to implement them. Since many companies struggle to hire and retain digital talent, several executives said they are working to train existing employees in new skills instead. As a result, U.K.

Retail 52

Retail E-Commerce Real-time Data Customer Experience 52

Astera

AUGUST 13, 2024

After modernizing and transferring the data, users access features such as interactive visualization, advanced analytics, machine learning, and mobile access through user-friendly interfaces and dashboards. What is Data-First Modernization?

Data Governance 52

Data Governance Data Architecture Data Quality Real-time Data 52

Actian

DECEMBER 9, 2019

How Avalanche and DataConnect work together to deliver an end-to-end data management solution. Migrating to a cloud data warehouse makes strategic sense in the modern context of cloud services and digital transformation. Actian DataConnect and Actian Avalanche give you that end-to-end data management solution.

Data Warehouse 8

Data Warehouse Digital Transformation Supply Chain Real-time Data 8

Astera

DECEMBER 18, 2023

However, as data volumes continue to grow and the need for real-time insights increases, banks are pushed to embrace more agile data management strategies. Change data capture (CDC) emerges as a pivotal solution that enables real-time data synchronization and analysis. daily or weekly).

Finance 52

Finance Banking Real-time Data Data Warehouse 52

Astera

JULY 24, 2023

They allow software systems to interact with each other, enabling real-time data exchange and integration. APIs are well-suited for dynamic data exchange and enable organizations to leverage real-time data for quicker and more informed decision-making.

E-Commerce 52

E-Commerce Supply Chain Documentation Healthcare 52

Data Pine

JULY 1, 2020

“The goal is to turn data into information, and information into insight.” – Carly Fiorina, former executive, president, HP. Digital data is all around us. quintillion bytes of data every single day, with 90% of the world’s digital insights generated in the last two years alone, according to Forbes.

Retail 104

Retail Healthcare Visualization Business Intelligence 104

Astera

APRIL 22, 2024

One of the key processes in healthcare data management is integrating data from many patient information sources into a centralized repository. This data comes from various sources, ranging from electronic health records (EHRs) and diagnostic reports to patient feedback and insurance details.

Data Governance 52

Data Governance Healthcare Government Data Discovery 52

Actian

JULY 17, 2019

Data integration, like the digital-transformation initiatives it supports, is a journey and not a destination. Actian cloud-based data management platforms can help. Every company is somewhere on a path from the past to a desired state of future integration they’d like to achieve.

Data Warehouse 40

Data Warehouse Digital Transformation Real-time Data Digital 40

Actian

JULY 16, 2019

As companies embark on digital-transformation journeys, they expect IoT to be one of the key technologies to serve as a source of new operational insights and performance gains. IoT data Integration and Digital Transformation. Real time data integration is crucial for IoT applications.

Digital Transformation 40

Digital Transformation Monitoring Data Warehouse Real-time Data 40

Actian

JANUARY 7, 2019

With digital transformation of business, companies are learning about the importance of data when fueling their digital business processes. Emerging technologies, such as artificial intelligence (AI), machine learning (ML), blockchain and IoT, are increasing the demand for real-time data integration and harmonization.

Digital Transformation 40

Digital Transformation Supply Chain Artificial Intelligence Logistics 40

Astera

NOVEMBER 1, 2023

Businesses rely heavily on various technologies to manage and analyze their growing amounts of data. Data warehouses and databases are two key technologies that play a crucial role in data management. It is important to understand the goals and objectives of the data management system.

Data Warehouse 40

Data Warehouse Real-time Data E-Commerce Data Governance 40

Data Pine

FEBRUARY 18, 2020

In our data-driven digital age, ‘business intelligent’ organizations with the ability to collate, organize, and leverage the insights that are most valuable to their ongoing commercial goals are the ones that are destined to thrive in the long-term. A proper financial, analytical report can help in this process.

Procurement 80

Procurement Visualization Finance Data Visualization 80

Actian

JUNE 17, 2019

“We have more data than we know what to do with.”. Companies have been collecting large amounts of data for years in their ERP, CRM, HR, ITSM systems and many others. With digital transformation of business processes, even more data is being generated about operational processes.

Data Warehouse 40

Data Warehouse Digital Transformation Real-time Data Digital 40

Sisense

JANUARY 13, 2021

Iain also wanted to improve access to data across the organization, ensuring that employees throughout the business could easily view, analyze, and use real-time data, regardless of their technical ability. YourDMS specializes in Document Management and Business Process Management.

Supply Chain 95

Supply Chain Procurement E-Commerce Business Intelligence 95

Astera

DECEMBER 18, 2023

However, as data volumes continue to grow and the need for real-time insights increases, banks are pushed to embrace more agile data management strategies. Change data capture (CDC) emerges as a pivotal solution that enables real-time data synchronization and analysis. daily or weekly).

Finance 40

Finance Banking Real-time Data Data Warehouse 40

Data Pine

MAY 2, 2023

Using big data for its logistical activities, Domino’s can predict specific demand in particular locations, ensuring that ingredients are available and its pizza ovens are ready to accommodate the right quantities for any given day. As a logistics provider, delivering on promises and managing consumer expectations is paramount.

Supply Chain 110

Supply Chain Logistics Big Data Customer Experience 110

Astera

APRIL 7, 2023

Enterprise Data Architecture (EDA) is an extensive framework that defines how enterprises should organize, integrate, and store their data assets to achieve their business goals. At an enterprise level, an effective enterprise data architecture helps in standardizing the data management processes.

Data Architecture 52

Data Architecture Supply Chain Data Governance Data Quality 52

Astera

APRIL 7, 2023

Enterprise Data Architecture (EDA) is an extensive framework that defines how enterprises should organize, integrate, and store their data assets to achieve their business goals. At an enterprise level, an effective enterprise data architecture helps in standardizing the data management processes.

Data Architecture 52

Data Architecture Supply Chain Data Governance Data Quality 52

Actian

JULY 8, 2019

Data starts aging from the time it is created, not when it is collected and added to a data warehouse. It is important to understand when your data was collected and how current the data is you ingest from different data sources. Digital business processes require real-time data to be effective.

Data Warehouse 40

Data Warehouse Real-time Data Data Management Agile 40

Monday

MARCH 31, 2021

Instead of relying on feedback from shippers and suppliers, APIs and internet-connected machinery will give you real-time data. Without the time-lag, you can predict supply chain issues before they happen. New must-haves for a supply chain management team. Of course, it’s not enough to only track real-time data.

Supply Chain 52

Supply Chain Retail Big Data Real-time Data 52

Data Pine

NOVEMBER 5, 2019

And we’re not just talking about marketing, but all your business’ bits and pieces should embrace the power of modern data analysis and utilize a professional dashboard creator that will enhance your data management processes. Still unsure? Intelligent reporting.

Monitoring 88

Monitoring Visualization Big Data Chief Data Officer 88

Astera

MAY 4, 2023

Unleashing the power of AI in data-driven Ad Targeting: personalization, optimization, and innovation for modern digital advertising. But thanks to the power of artificial intelligence (AI), digital advertising has undergone a transformation, revolutionizing data-driven ad targeting. You’re not alone.

Predictive Analytics 40

Predictive Analytics Artificial Intelligence Digital Logistics 40

GAVS Technology

SEPTEMBER 14, 2021

This is where AIOps digital transformation solutions come in. Application of Machine Learning to Data Test Cases. Retail and e-commerce businesses depending upon digital transformation need to use machine learning. AIOps includes the use of data center migration planning tools for better management and transfer of data.

E-Commerce 40

E-Commerce Customer Experience Customer Experience Retail 40

Ntara

JUNE 10, 2024

This duo helps manufacturers and distributors enhance the product experience, save time, and mitigate risk. They manage 76,000+ SKUs and over 16,000 digital assets across 19 regions/languages within a fully integrated PIM + DAM solution. data sheets, price lists, catalogs, etc.) Royal Brass & Hose knows this well.

Documentation 40

Documentation Logistics Digital Real-time Data 40

Actian

DECEMBER 2, 2019

Checklist: Critical Capabilities to Consider when Selecting a Data Integration Vendor That Enables Real-Time Analytics Use Cases. Migrating to a cloud data warehouse makes strategic sense in the modern context of cloud services and digital transformation.

Data Warehouse 8

Data Warehouse Digital Transformation Real-time Data Vision 8

Astera

MAY 24, 2023

So, let’s delve further into how healthcare organizations are significantly improving their medical record management processes using an automated data extraction tool. It uses sophisticated AI algorithms to read medical records and automatically identify relevant data.

Healthcare 40

Healthcare Documentation Digital Predictive Analytics 40

MindsMapped

JULY 21, 2020

The delivery of the structure of the digital project is either agile or waterfall. How can the team optimize the performance, management, and cost-efficiency of the future digital experience? The start of any digital project requires an understanding of the client and their customers.

Requirements Gathering 54

Requirements Gathering Vision Agile Documentation 54

Astera

DECEMBER 21, 2022

A voluminous increase in unstructured data has made data management and data extraction challenging. The data needs to be converted into machine-readable formats for analysis. However, the growing importance of data-driven decisions has changed how managers make strategic choices.

Data Mining 52

Data Mining Documentation Data Quality Data Warehouse 52