Smart Data Collective

DECEMBER 21, 2022

Big data technology has helped businesses make more informed decisions. A growing number of companies are developing sophisticated business intelligence models, which wouldn’t be possible without intricate data storage infrastructures. One of the biggest issues pertains to data quality.

Business Analytics 109

Business Analytics Analytics Data Quality Big Data 109

Smart Data Collective

JUNE 8, 2023

We have talked extensively about the many industries that have been impacted by big data. many of our articles have centered around the role that data analytics and artificial intelligence has played in the financial sector. However, many other industries have also been affected by advances in big data technology.

Data Analytics 82

Data Analytics Analytics Data Collection Statistics 82

BizAcuity

APRIL 14, 2022

Big Data technology in today’s world. Did you know that the big data and business analytics market is valued at $198.08 Or that the US economy loses up to $3 trillion per year due to poor data quality? quintillion bytes of data which means an average person generates over 1.5 billion in 2020?

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

FineReport

MARCH 24, 2024

Rapid technological advancements and extensive networking have propelled the evolution of data analytics, fundamentally reshaping decision-making practices across various sectors. In this landscape, data analysts assume a pivotal role, tasked with interpreting data to drive informed decision-making.

Statistics 52

Statistics Data mining Visualization Reporting 52

CIO Business Intelligence

MARCH 9, 2022

Applying artificial intelligence (AI) to data analytics for deeper, better insights and automation is a growing enterprise IT priority. But the data repository options that have been around for a while tend to fall short in their ability to serve as the foundation for big data analytics powered by AI.

Data Lake 109

Data Lake Unstructured Data Data Warehouse Data Quality 109

Smart Data Collective

JULY 23, 2023

Data can feel like an inaccessible word for small businesses. You want to use business intelligence effectively, but you feel that you don’t have the resources at your disposal to do so. Risk assessment: Data can also help you understand the risks associated with specific decisions.

Analytics 75

Analytics Advertising Business Intelligence Risk 75

datapine

APRIL 14, 2022

When you think of big data, you usually think of applications related to banking, healthcare analytics , or manufacturing. After all, these are some pretty massive industries with many examples of big data analytics, and the rise of business intelligence software is answering what data management needs.

Big Data 244

Big Data Recreation/Entertainment Analytics Data-driven 244

Smart Data Collective

NOVEMBER 18, 2021

In the information, there are companies with big data strategies and those that fall behind. Big data and business intelligence are essential. However, the success of a big data strategy relies on its implementation. VentureBeat reports that only 13% of companies are delivering on their big data strategies.

Data Strategy 127

Data Strategy B2B Strategy Big Data 127

Jet Global

MAY 9, 2024

Data pipelines are designed to automate the flow of data, enabling efficient and reliable data movement for various purposes, such as data analytics, reporting, or integration with other systems. There are many types of data pipelines, and all of them include extract, transform, load (ETL) to some extent.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Smart Data Collective

MAY 4, 2021

The market for big data is expected to be worth $274 billion by next year. This is hardly surprising, since so many businesses depend on data analytics to draw useful insights on every aspect of their business model. Analytics is one of the most powerful tools that modern businesses possess.

Advertising 136

Advertising Marketing Data Collection Data Analytics 136

IBM Big Data Hub

DECEMBER 16, 2022

Today’s data leaders are expected to make organizations run more efficiently, improve business value, and foster innovation. Their role has expanded from providing business intelligence to management, to ensuring high-quality data is accessible and useful across the enterprise.

Enterprise 52

Enterprise Data Architecture Data-driven ROI 52

IBM Big Data Hub

AUGUST 4, 2023

Data within a data fabric is defined using metadata and may be stored in a data lake, a low-cost storage environment that houses large stores of structured, semi-structured and unstructured data for business analytics, machine learning and other broad applications.

Data Architecture 62

Data Architecture Data Lake Machine Learning Data Governance 62

datapine

MARCH 15, 2019

At present, 53% of businesses are in the process of adopting big data analytics as part of their core business strategy – and it’s no coincidence. To win on today’s information-rich digital battlefield, turning insight into action is a must, and online data analysis tools are the very vessel for doing so.

Technology 143

Technology Cost-Benefit KPI Dashboards 143

Grooper

AUGUST 19, 2019

Choosing the right analytics solution isn't easy. Successfully navigating the 20,000+ analytics and business intelligence solutions on the market requires a special approach. Read on to learn how data literacy, information as a second language, and insight-driven analytics take digital strategy to a new level.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

Smart Data Collective

FEBRUARY 2, 2021

However, some industries have more to benefit from Big Data than others and have reached impressive milestones because data science and data analytics have helped them streamline their operations. The implementation of Big Data has huge potential in the healthcare industry , and the past few years are only the beginning.

Big Data 84

Big Data Recreation/Entertainment Cost-Benefit Finance 84

CIO Business Intelligence

MARCH 16, 2022

IT executives see talent shortage as the most significant adoption barrier to 64% of emerging technologies, ahead of implementation cost (29%) or security risk (7%), according to a September 2021 Gartner survey. Identifying which emerging technologies will prove most useful is a challenge, though.

Forecasting 96

Forecasting Machine Learning Technology Enterprise 96

Jet Global

NOVEMBER 15, 2022

Adopting cloud based EPM software provides a central location for data access and requires no infrastructure to set up. However, EPM cloud migration comes with its share of challenges, including the risk of reduced productivity and an inconsistent user experience. When Traditional Business Intelligence Tools Aren’t Enough.

Reporting 52

Reporting Finance Software Data Warehouse 52

Jet Global

OCTOBER 24, 2022

This approach also introduces risk when it comes to integration and upgrades, creating potential headaches further down the road. In a world rife with security risks, that should be a concern to every software vendor. In a world rife with security risks, that should be a concern to every software vendor. Logi Analytics.

Analytics 52

Analytics Dashboards Software Reporting 52

Sisense

AUGUST 25, 2019

By the time you get the insights you’re looking for, they’re no longer fresh, and you risk someone else beating you to the punch. Here’s how to avoid this, and take your data-driven business to the next level: 1. Don’t limit data analytics to your data teams. Build business analytics; not just reports.

Data-driven 75

Data-driven Slice and Dice Sales Reporting 75

Jet Global

AUGUST 22, 2022

Spreadsheet Server solves the core financial/GL reporting piece, but there’s still a considerable number of manual processes when it comes to operational reporting which expose organizations to risk. Traditional business intelligence systems possess all the right features, but don’t play well with your financial data.

Reporting 52

Reporting Operational Reporting Finance Dashboards 52

Jet Global

AUGUST 22, 2022

Spreadsheet Server solves the core financial/GL reporting piece, but there’s still a considerable number of manual processes when it comes to operational reporting which expose organizations to risk. Traditional business intelligence systems possess all the right features, but don’t play well with your financial data.

Reporting 52

Reporting Operational Reporting Finance Dashboards 52

Jet Global

NOVEMBER 2, 2022

First, you could build analytics into your product using UI component libraries. Each component must be customized separately, and there’s risk involved with any upgrade. The fourth option is to use a full-fledged embedded analytics solution, which gives you maximum flexibility. Live demo tailored to your business requirements.

Visualization 52

Visualization Sales Reporting Data-driven 52

Jet Global

OCTOBER 21, 2022

Operations needs to understand overall volume forecasts, supply chain risk, and the impact of fluctuations on inventory safety stock levels. Logi leverages your existing tech stack, allowing you to quickly build, manage, and deploy your application with the powerful analytics that make your product truly stand out from the crowd.

Analytics 52

Analytics Visualization Software Dashboards 52

Andrew White

MARCH 22, 2019

The result was that both end users (non IT companies) in public and private organizations, and vendors, changed direction: clients looked for quick fixes to help avoid risk; vendors refocused away from their current trajectory of developing solid information stewardship solutions toward the ‘easy money’ of GDPR.

Analytics 68

Analytics Metadata Data Governance Management 68

Depict Data Studio

SEPTEMBER 17, 2019

David Napoli has worked with data for over 20 years as an analyst, actuary, statistician, research manager, and director. David has extensive experience working with claims data, including for Medicaid, Medicare, and Commercial lines of business.

Visualization 40

Visualization Consulting Dashboards Reporting 40

O'Reilly on Data

SEPTEMBER 11, 2019

Our call for speakers for Strata NY 2019 solicited contributions on the themes of data science and ML; data engineering and architecture; streaming and the Internet of Things (IoT); business analytics and data visualization; and automation, security, and data privacy. The term “ML” is No.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20