337 articles · page 5 of 7
insideBIGDATA, Wednesday, January 3th, 2024
The big data industry has significant inertia moving into 2024. In order to give our valued readers a pulse on important new trends leading into next year, we here at insideBIGDATA heard from all our friends across the vendor ecosystem to get their insights, reflections and predictions for what may be coming.
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Analytics Insight, Saturday, December 30,2023
This step-by-step guide walks you through the process of creating a data analytics dashboard
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insideBIGDATA, Friday, December 29,2023
Our friends over at Snowflake have prepared a special set of compelling technology predictions for the year ahead. From the company's point of view 2024 should be quite a year!
more → Dataversity, Friday, December 15,2023
As we near the end of 2023, it is imperative for Data Management leaders to look in their rear-view mirrors to assess and, if needed, refine their Data Management strategies. One thing is clear; if data-centric organizations want to succeed in 2024, they will need to prepare for an environment in which data is increasingly distributed.
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datanami, Wednesday, December 13,2023
Never before have the challenges of big data-how we store it, manage it, govern it, and use it-been so pressing. Advances in artificial intelligence may be the driving force in 2024, but that doesn't mean a thing if your big data is out of control.
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insideBIGDATA, Saturday, December 9,2023
The world is amid a data explosion, with users creating, copying, and consuming 5,000% more data today than in 2010. This surge in the volume and complexity of data generated severely impacts how it's used across industries and who owns and controls that information.
more → Dataversity, Wednesday, December 6,2023
Data has become one of the most valuable assets of modern businesses. The data a company collects, analyzes, and monetizes is now perceived as a distinct 'asset class' rather than merely a byproduct of its IT operations.
more → Dataversity, Tuesday, November 28,2023
A Data Strategy is a reliable touchstone created by an organization for businesspeople to apply when confronting challenges in executing data activities to meet or support a business strategy. It offers direction when generating, updating, storing, and consuming data to better perform these tasks.
more → Data Science Central, Tuesday, November 28,2023
In today's digital era, big data has emerged as a pivotal asset for organizations across various industries. The vast volumes of data generated every moment offer unparalleled insights into customer behaviors, market trends, and operational efficiencies.
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Dataversity, Tuesday, November 21,2023
Among today's data-driven businesses, there's no lack of support for Data Governance. But that enthusiasm doesn't always make its way to the top of the management chain.
more → Datamation, Friday, November 17,2023
Data analytics is a fast-moving discipline with cutting-edge technology evolving at a rapid pace. As this technology advances, data analytics trends shift to reflect the new functions and capabilities of the software and platforms as well as their impact on business operations.
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Cavelo, Thursday, November 16,2023
There are few companies in the digital world that don't keep digital records of important data. Whether it be employee information, important business documents or the personal information of customers, all businesses collect and store a large amount of data. That data has to be protected.
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Dataversity, Tuesday, November 14,2023
Master data management uses a combination of tools and business processes to ensure the organization's master data is complete, accurate, and consistent. Master data describes all the 'relatively stable' data that is critical for operating the business. This includes semi-permanent information about products, locations, employees, customers, etc.
more → Datamation, Tuesday, November 14,2023
Companies are swimming in a sea of data that takes many forms, including both quantitative and qualitative assets that, when analyzed, can provide valuable insights. But the volume of data and the rapid pace of innovation in the data analytics field can lead to challenges collecting, storing, and using that data. Businesses of all sizes struggle to keep vast amounts of data accurate and actionable and accessible to everyone who needs it while keeping customer data private and secure.
more → Datamation, Tuesday, November 14,2023
Data management tools enable organizations to prepare and deliver analysis-ready data for strategic decision-making, business intelligence (BI) initiatives, machine learning (ML) applications, and more. The software in this category consists of platforms, services, and tools that ensure accuracy, consistency, security, and compliance throughout the data lifecycle.
more → Data Science Central, Monday, November 13,2023
Data warehouses are the linchpins of modern data infrastructure, integral for businesses that rely on informed decision-making. They act as centralized repositories where diverse data from various sources is collated, transformed, and stored for analysis and reporting.
more → TechRepublic, Thursday, November 9,2023
With the AI and real-time and predictive analytics capability of data analytics tools, businesses are able to make more informed decisions about their data.
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TechRepublic, Thursday, November 9,2023
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more → Datamation, Thursday, November 9,2023
Data mining can bring enormous value to organizations that do it well, but how it's done-and how it is received-is changing as a result of evolving technologies, consumer data concerns, and some public malpractice. Here are the trends driving enterprise data mining efforts in late 2023 that organizations need to be aware of when planning their own data mining strategies.
more → Datamation, Monday, November 6,2023
Data mining software solutions are indispensable tools for uncovering valuable insights and patterns within your organization's data, facilitating discoveries that lead to better decision-making and more effective strategic initiatives.
more → ITProToday, Wednesday, October 25,2023
Data governance is not just about compliance. It's also a cornerstone for sustainable business growth in the competitive, data-driven business landscape.
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Datamation, Tuesday, October 24,2023
Big data technologies help analyze diverse data sets that are beyond the capabilities of traditional databases. They help with better and faster decision-making and improve operational efficiency.
more → CMSWIRE, Thursday, October 19,2023
To make the most of big data, choosing the right analytics platform is key.
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Data Center Dynamics, Thursday, October 19,2023
When managers and workers discuss Data Governance (DG), a business program that supports harmonized data activities, vs. Data Management (DM), a comprehensive collection of practices, concepts, and processes dedicated to leveraging data assets, they often use the terms interchangeably.
more → Datamation, Wednesday, October 18,2023
Big data solutions-hardware and software to help store, manage, and analyze information on a massive scale-are in demand as companies increasingly recognize big data as a valuable resource they cannot afford to ignore. In response to the growing interest, vendors have slapped the 'big data' label on a dizzying array of products and services, and the proliferation of choices can make it challenging for organizations to find the right tools to meet their needs.
more → Big Data Quarterly, Tuesday, October 10,2023
The 'big data' world is pervasive-to the point in which every organization is now a big data organization.
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CXOtoday.com, Friday, October 6,2023
In recent years, the business landscape has been nothing short of a rollercoaster ride. The pandemic swept in like a storm, confronting both traditional retail giants and e-commerce trailblazers with a critical choice: adapt or fade into obscurity.
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Datamation, Wednesday, October 4,2023
Big data can be a revolutionary tool for businesses across all industries, but like all tools, its effectiveness depends on how well it is used-and big data has proven particularly difficult for many organizations to wield.
more → Cavelo, Wednesday, October 4,2023
Big data security is a critical concern as organizations collect, store, and analyze large volumes of data.
more → Solutions Review, Friday, September 29,2023
Our editors selected the best enterprise data lake solutions based on each solution's Authority Score; a meta-analysis of real user sentiment through the web's most trusted business software review sites and our own proprietary five-point inclusion criteria.
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Solutions Review, Friday, September 29,2023
The editors at Solutions Review have developed this resource to assist buyers in search of the best enterprise data modeling tools to fit the needs of their organization.
more → Solutions Review, Friday, September 29,2023
Our editors selected the best enterprise data mining tools and software based on each solution's Authority Score; a meta-analysis of real user sentiment through the web's most trusted business software review sites and our own proprietary five-point inclusion criteria.
more → Datamation, Tuesday, September 26,2023
Data quality tools are an essential part of an organization's data software stack. These tools help organizations import data from a variety of sources; understand and parse the data they are collecting; validate, standardize, clean, and match data; enrich the data with additional information; and detect any errors and data quality issues that arise.
more → Solutions Review, Tuesday, September 26,2023
Solutions Review's listing of the best enterprise data science software and machine learning tools is an annual sneak peek of the top tools included in our Buyer's Guide for Data Science and Machine Learning Platforms. Information was gathered via online materials and reports, conversations with vendor representatives, and examinations of product demonstrations and free trials.
more → CIO, Friday, September 22,2023
Data management platforms (DMPs) help organizations collect and manage data from a wide array of sources - and are becoming increasingly important for customer-centric sales and marketing campaigns.
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Datamation, Thursday, September 21,2023
Considering the volumes of data enterprises gather and store-and how much of their decision-making hinges upon its accuracy - data management best practices are essential to their success. Unmanaged or badly managed data can be a wasted resource, or worse, it can lead to process failures, operational bottlenecks, and excessive exposure to various dimensions of risk.
more → Dataversity, Wednesday, September 20,2023
Data Modeling describes the plans and activities around diagramming data requirements for business operations across one or more systems. This blueprint defines unique data entities (such as tables, systems, concepts, and hubs) and their characteristics (such as inheritance, importance, and physical structures) along with how the data flows between entities.
more → Solutions Review, Tuesday, September 19,2023
Remember the movie 'Office Space?' In the 1999 film, Peter is a disenchanted and overworked software engineer who's constantly reprimanded for not completing his 'TPS reports' - data reports that required inhumane amounts of busy work, including sending the reports around daily with a very specific cover sheet.
more → Enterprise Storage Forum, Friday, September 15,2023
Data management is a comprehensive set of processes and tools for acquiring, storing, organizing, securing, and maintaining an organization's data assets. Together, they help to ensure that data is accurate, accessible, and suitable for supporting the business's goals and objectives
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Datamation, Friday, September 15,2023
Big data management refers to the governance, administration, and organization of the enormous volumes of data companies handle throughout its lifecycle, including ingesting, processing, storing, and analyzing it to fuel decision-making and keep operations running smoothly
more → Database Trends and Applications, Wednesday, September 13,2023
As the world slowly transitions to a post-covid landscape, organizations are looking at what the 'new normal' is shaping up to be.
more → Dataversity, Friday, September 8,2023
Data Management has never been more critical than today. As AI grows more prominent, data initiatives are more important than ever. As the digital age propels us forward, the need for robust DataOps strategies becomes evident. These strategies, however, are not devoid of challenges.
more → insideBIGDATA, Thursday, September 7,2023
Data lakes are becoming a crucial strategy for data management, with 62% of organizations in the production, proof-of-concept or pilot stage with their data lakes. Another 25% of organizations indicate they plan to implement a data lake within three years, according to 451 Research. Data lakes enable organizations to store and analyze diverse data from multiple applications with unmatched flexibility.
more → datanami, Wednesday, September 6,2023
Have you heard the buzz about the predicted death of hard disk drives (HDDs)? Some have gone all in on projections that the growth of SSD deployments will eliminate demand for HDDs within five years.
more → Datamation, Tuesday, September 5,2023
The term 'big data' refers to both structured and unstructured data in a volume and variety too massive in scale and complexity to be managed using traditional methods. Specialized tools are required to manage the data and to find patterns, track trends, and extract other meaningful information to provide the kind of insights on which businesses increasingly rely.
more → Datamation, Friday, September 1,2023
Data warehouses are repositories where large amounts of data can be stored and accessed for reporting, business intelligence (BI), analytics, decision support systems (DSS), research, data mining, and other related activities. While they're always associated with large amounts of data, data warehouses are not simply about massive storage capacity-rather, they're about making disparate types of data from many different sources accessible to support decision-making.
more → DATAVERSITY, Wednesday, August 30,2023
Master Data Management (MDM) is an important method for developing and maintaining the uniformity and accuracy of the organization's shared 'master data.' Master Data Management allows businesses to improve the accuracy and uniformity of their important data assets, such as customer data, product data, asset data, and location data.
more → Dataversity, Wednesday, August 23,2023
Maximizing the value of data often comes down to ensuring it's in the right place at the right time and in the right form. While that process may produce magical-seeming results, the road to creating an optimal data quality strategy need not be mystifying.
more → datanami, Monday, August 21,2023
Everybody wants to be data-driven-that much is clear. But that desire doesn't necessarily translate into real business results, especially in competitive industries like ecommerce.
more → Datamation, Friday, August 18,2023
Data lifecycle management addresses how to gain control of and capitalize upon the vast amounts of data most organizations possess. Enterprises that can break down their organizational silos and intelligently unify and analyze their data are more competitive and more successful than their peers.
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