Smart Data Collective

JULY 19, 2019

Many years of experience make it possible for Comarch to help telecom and digital service providers innovate and automate their processes to effectively face new technologies such as artificial intelligence, 5G, the Internet of Things, and more. They are one of the companies that is proving to be a pioneer in big data for telecom.

Big Data 199

Big Data Retail Artificial Intelligence Logistics 199

Data Pine

MAY 14, 2019

By acquiring a deep working understanding of data science and its many business intelligence branches, you stand to gain an all-important competitive edge that will help to position your business as a leader in its field. Without further ado, here are our top data science books. click for book source**. click for book source**.

Artificial Intelligence 140

Artificial Intelligence Big Data Business Intelligence Business Intelligence 140

BizAcuity

APRIL 14, 2022

Big Data Ecosystem. Big data paved the way for organizations to get better at what they do. Data management and analytics are a part of a massive, almost unseen ecosystem which lets you leverage data for valuable insights. Competitive Advantages to using Big Data Analytics. Data Management.

Big Data 130

Big Data Data Analytics Data Analytics Data Management 130

Astera

APRIL 28, 2023

Data management can be a daunting task, requiring significant time and resources to collect, process, and analyze large volumes of information. AI is a powerful tool that goes beyond traditional data analytics. Trends AI is already shaping the processes surrounding data warehousing in many ways.

E-Commerce 40

E-Commerce Supply Chain Artificial Intelligence Data Warehouse 40

TIBCO

MARCH 22, 2021

This year, embrace the spirit of spring at the TIBCO Analytics Forum (TAF) 2021 by learning about new analytics and data management technologies and approaches and how to foster growth in the coming years. The Future of Analytics: Learn about the opportunities provided by the changing face of analytics.

Pharmaceutical 97

Pharmaceutical Healthcare Artificial Intelligence Logistics 97

Astera

JULY 6, 2023

Data Standardization: Automated extraction tools facilitate the standardization of diagnostic data by enforcing consistent formatting and categorization. This standardization simplifies data aggregation, enables interoperability, and paves the way for comprehensive data analytics and reporting.

Healthcare 40

Healthcare Artificial Intelligence Documentation Monitoring 40

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 200

Big Data Banking Artificial Intelligence Cloud Computing 200

Astera

MAY 9, 2023

This is done by translating it into a language, that the system can understand, either manually or through input devices set up to collect structured or unstructured data. Data Processing This stage involves processing data for interpretation using machine learning algorithms, and artificial intelligence algorithms.

Data Warehouse 52

Data Warehouse Big Data Innovation Artificial Intelligence 52

Astera

MAY 19, 2023

This exponential growth highlights the urgency for companies to find efficient, cost-effective, and scalable solutions for data storage and management. The Evolution of Data Storage and the Rise of AI Data storage has come a long way since the mid-20th century when punch cards and magnetic tapes were the primary storage options.

Predictive Analytics 40

Predictive Analytics E-Commerce Artificial Intelligence Innovation 40

BizAcuity

JUNE 3, 2022

We would like to shed light on a common few data challenges whose solution boils down to better data management and analytics. Inventory and distribution management: This becomes more challenging for omnichannel since it calls for an integrated view across multiple points of sale.

Retail 147

Retail Data Analytics Data Analytics Supply Chain 147

The Data Administration Newsletter

MAY 15, 2024

In discussions with data management professionals, conversations often veer toward the technical intricacies of migration to the cloud or algorithm optimization, overshadowing the core business objectives that originally spurred these initiatives.

52

52

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 340

Visualization Data Analytics Data Analytics Artificial Intelligence 340

Actian

SEPTEMBER 17, 2019

The result is that these systems are not easily extended either for localized analytics and visualization, sharing data across local systems, or easily and securely exchanging data with modern backend systems for further analytics and visualization. Technology that empowers historical data to shape the future.

Artificial Intelligence 40

Artificial Intelligence Data Warehouse Visualization Vision 40

GAVS Technology

SEPTEMBER 8, 2021

The need of the hour is to not only make all this data available for use but to also put in place advanced systems and infrastructure that can fulfill rising data management and analysis needs. So, what’s exactly behind the data overflow that we are seeing in the healthcare industry today?

Healthcare 40

Healthcare Procurement Artificial Intelligence Data Management 40

GAVS Technology

SEPTEMBER 14, 2021

Application of Machine Learning to Data Test Cases. AIOps enabled machine learning and algorithms can be used to test data analytics or specific cases before they are applied to actual, real-time events. These algorithms take into consideration the data and capture available knowledge. Continuous Improvement of Systems.

E-Commerce 40

E-Commerce Customer Experience Customer Experience Retail 40

Actian

SEPTEMBER 12, 2019

Artificial Intelligence (AI) systems seem to be everywhere and for a good reason. Data persistence enables workflow continuity and tracking across multiple systems. Artificial Intelligence is arguably the most important technological development of the modern era.

Data Requirement 40

Data Requirement Artificial Intelligence Data Warehouse Cloud Computing 40

Data Pine

JANUARY 24, 2021

This genie (who we’ll call Data Dan) embodies the idea of a perfect data analytics platform through his magic powers. Now, with Data Dan, you only get to ask him three questions. The questions to ask when analyzing data will be the framework, the lens, that allows you to focus on specific aspects of your business reality.

Data Visualization 126

Data Visualization Data Analytics Data Analytics Data Quality 126

Actian

FEBRUARY 24, 2020

Aggregating data for enterprise insights. Continuous improvement, be it through process analysis and optimization or supported by machine learning and artificial intelligence, requires RPA vendors to aggregate distributed data in a centralized location for analysis and the harvesting of enterprise insights.

Digital Transformation 40

Digital Transformation Artificial Intelligence Data Warehouse Big Data 40

Actian

SEPTEMBER 17, 2019

It is a robust process to collect, aggregate, catalog and maintain all the data your day-to-day operations and interactions in the marketplace create. Legacy approaches to data management. Technology that enables modern data management. Artificial Intelligence.

Artificial Intelligence 9

Artificial Intelligence Data Warehouse Digital Transformation Data Management 9

Data Pine

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 105

Big Data Data Analytics Data Analytics IBM Maintenance 105

Astera

MAY 14, 2024

Data Provenance is vital in establishing data lineage, which is essential for validating, debugging, auditing, and evaluating data quality and determining data reliability. Data Lineage vs. Data Provenance Data provenance and data lineage are the distinct and complementary perspectives of data management.

Supply Chain 52

Supply Chain Data Quality Artificial Intelligence Cybersecurity 52

Data Pine

MARCH 31, 2022

For instance, you will learn valuable communication and problem-solving skills, as well as business and data management. Added to this, if you work as a data analyst you can learn about finances, marketing, IT, human resources, and any other department that you work with.

Business Intelligence 95

Business Intelligence Business Intelligence Data Visualization Visualization 95

Astera

MAY 6, 2024

It utilizes artificial intelligence to analyze and understand textual data. Best For: Businesses that require a wide range of data mining algorithms and techniques and are working directly with data inside Oracle databases. This is where Astera , a leading end-to-end data management platform , comes into play.

Data Mining 52

Data Mining Supply Chain Data Quality Visualization 52

Actian

JULY 11, 2019

In light of this, most of the recent developments have been centered on the use of data warehouses to aggregate diverse data and then applying machine learning and artificial intelligence to reconcile differences. Why operational technology data management may never be standardized.

Data Management 40

Data Management Supply Chain Data Warehouse Artificial Intelligence 40

Tableau

APRIL 18, 2022

The way to get there is by implementing an emerging data management design called data fabric. . What is a data fabric design? A data fabric is an emerging data management design that allows companies to seamlessly access, integrate, model, analyze, and provision data. Augmented analytics.

Data Quality 99

Data Quality Government Artificial Intelligence Data Warehouse 99

Tableau

APRIL 18, 2022

The way to get there is by implementing an emerging data management design called data fabric. . What is a data fabric design? A data fabric is an emerging data management design that allows companies to seamlessly access, integrate, model, analyze, and provision data. Augmented analytics.

Data Quality 97

Data Quality Government Artificial Intelligence Data Warehouse 97

Actian

SEPTEMBER 12, 2019

Artificial Intelligence (AI) systems seem to be everywhere and for a good reason. Data persistence enables workflow continuity and tracking across multiple systems. Artificial Intelligence is arguably the most important technological development of the modern era.

Data Requirement 8

Data Requirement Artificial Intelligence Data Warehouse Cloud Computing 8

Whizlabs

APRIL 19, 2021

Currently she works at Microsoft and concentrates mainly on cloud computing, edge computing, distributed systems and architecture, and a little bit of machine learning and artificial intelligence. Michelle has more than 20 years of experience in the field of research in statistics, data analytics, consulting and market research.

Cloud Computing 145

Cloud Computing IBM Support IBM Maintenance IBM cost 145

Astera

JULY 13, 2023

The Role of Data Wrangling in Data Analytics Data analytics often produces a collection of informative reports, insightful visualizations, and illuminating graphs. These beautiful visualizations are the result of behind-the-scenes data wrangling.

Artificial Intelligence 40

Artificial Intelligence Data Analytics Data Analytics Data Mining 40

Data Pine

MARCH 25, 2022

Well, what if you do care about the difference between business intelligence and data analytics? BI and BA will provide an organization with a holistic view of the raw data and make decisions more successful and cost-efficient. What Is Business Intelligence And Analytics? How Does This Work In Business?

Business Intelligence 105

Business Intelligence Business Intelligence E-Commerce Procurement 105

Astera

SEPTEMBER 28, 2023

It’s one of many ways organizations integrate their data for business intelligence (BI) and various other needs, such as storage, data analytics, machine learning (ML) , etc. ETL provides organizations with a  single source of truth  (SSOT) necessary for accurate data analysis. What is Reverse ETL?

Data Warehouse 52

Data Warehouse Data Quality E-Commerce Real-time Data 52

Astera

SEPTEMBER 20, 2023

Data integration is a core component of the broader data management process, serving as the backbone for almost all data-driven initiatives. It ensures businesses can harness the full potential of their data assets effectively and efficiently.

Data Warehouse 52

Data Warehouse Data Quality Real-time Data E-Commerce 52

Astera

SEPTEMBER 20, 2023

Data integration is a core component of the broader data management process, serving as the backbone for almost all data-driven initiatives. It ensures businesses can harness the full potential of their data assets effectively and efficiently.

Data Warehouse 52

Data Warehouse Data Quality Real-time Data E-Commerce 52

Monday

MARCH 31, 2021

With IoT (the internet of things), big data, and AI on the way, supply chain professionals are turning to technology. More than half of all surveyed companies think they’ll widely adopt big data analytics by 2030. In 2nd place, there’s IoT, followed by artificial intelligence. Image Source ). billion by 2026.

Supply Chain 52

Supply Chain Retail Big Data Real-time Data 52

Data Pine

NOVEMBER 27, 2019

Companies are no longer wondering if data visualizations improve analyses but what is the best way to tell each data-story. 2020 will be the year of data quality management and data discovery: clean and secure data combined with a simple and powerful presentation. 3) Artificial Intelligence.

Business Intelligence 144

Business Intelligence Business Intelligence Artificial Intelligence Data Discovery 144

Data Pine

DECEMBER 4, 2019

As we mentioned in our business intelligence buzzwords article for 2019 , mobile usage is becoming an increasing factor in BI. With more vendors each year that offer mobile solutions within their software, companies are also starting to implement mobile data management and 2020 will increase even more. Augmented Analytics.

Business Intelligence 84

Business Intelligence Business Intelligence IBM Support IBM Maintenance 84

Insight Software

APRIL 24, 2024

In the rapidly-evolving world of embedded analytics and business intelligence, one important question has emerged at the forefront: How can you leverage artificial intelligence (AI) to enhance your data analysis?

IBM Support 52

IBM Support Embedded Analytics IBM Maintenance Business Intelligence 52