Smart Data Collective

NOVEMBER 24, 2020

billion by 2025. Business intelligence software will be more geared towards working with Big Data. Data Governance. One issue that many people don’t understand is data governance. It is evident that challenges of data handling will be present in the future too. Self-service BI. Prescriptive Analytics.

Business Intelligence 132

Business Intelligence Visualization Dashboards Prescriptive Analytics 132

Smart Data Collective

MARCH 21, 2022

It is one of the biggest trends driven by big data. trillion by the end of 2025. And they can generate more data. Building management systems (BMS) do not, however, leverage the data from their smart buildings. They can use the data to make important decisions. They can use their buildings to collect data.

Big Data 137

Big Data Internet of Things IoT Dashboards 137

Ontotext

AUGUST 17, 2023

These failures are at least partly due to the absence of graph technologies, at the center of those transformations, allowing companies to “connect the dots” across their data to drive optimal outcomes. More critically, they will continue to struggle becoming more data-driven within their organizations, missing out on value opportunities.

Digital Transformation 52

Digital Transformation IT Cost-Benefit Consulting 52

Smart Data Collective

NOVEMBER 3, 2021

This is where AI-driven design approaches can come to the table. They often use AI and data analytics tools to assess website performance over time and rework the design for a better user experience. Sure, you’ve hired the best web development agency and ensured everything looks great and visually appealing. percent (nearly 3.7

Cost-Benefit 113

Cost-Benefit Optimization Visualization Data-driven 113

Smarten

FEBRUARY 7, 2019

As the need for advanced analytics increases in organizations, enterprises large and small struggle to find and sustain the professional resources they need to meet their requirements for data, analysis and strategic direction. For other businesses, the issue is more pressing.

Optimization 40

Optimization Analytics Predictive Modeling Data-driven 40

Ontotext

MARCH 8, 2023

Gartner predicts that graph technologies will be used in 80% of data and analytics innovations by 2025, up from 10% in 2021. Use Case #1: Customer 360 / Enterprise 360 Customer data is typically spread across multiple applications, departments, and regions. Several factors are driving the adoption of knowledge graphs.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

BizAcuity

MAY 10, 2022

Cloud technology and innovation drives data-driven decision making culture in any organization. Cloud washing is storing data on the cloud for use over the internet. Storing data is extremely expensive even with VMs during this time. An efficient big data management and storage solution that AWS quickly took advantage of.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

datapine

MAY 31, 2022

It provides better data storage, data security, flexibility, improved organizational visibility, smoother processes, extra data intelligence, increased collaboration between employees, and changes the workflow of small businesses and large enterprises to help them make better decisions while decreasing costs. Security issues.

Risk 237

Risk Cost-Benefit Business Intelligence Data-driven 237

datapine

NOVEMBER 19, 2019

Exciting and futuristic, the concept of computer vision is based on computing devices or programs gaining the ability to extract detailed information from visual images. No matter if you need to conduct quick online data analysis or gather enormous volumes of data, this technology will make a significant impact in the future.

Technology 279

Technology Internet of Things IT IoT 279

CIO Business Intelligence

DECEMBER 21, 2022

Every day, organizations of every description are deluged with data from a variety of sources, and attempting to make sense of it all can be overwhelming. By 2025, it’s estimated we’ll have 463 million terabytes of data created every day,” says Lisa Thee, data for good sector lead at Launch Consulting Group in Seattle. “For

IT 131

IT Business Intelligence Sales Key Performance Indicator 131

datapine

SEPTEMBER 11, 2019

Digital data, by its very nature, paints a clear, concise, and panoramic picture of a number of vital areas of business performance, offering a window of insight that often leads to creating an enhanced business intelligence strategy and, ultimately, an ongoing commercial success. billion , growing at a CAGR of 26.98% from 2016.

Business Intelligence 161

Business Intelligence Analytics Sales Dashboards 161

datapine

NOVEMBER 11, 2021

a) Data Connectors Features. For a few years now, Business Intelligence (BI) has helped companies to collect, analyze, monitor, and present their data in an efficient way to extract actionable insights that will ensure sustainable growth. In fact, it is expected that by 2025, the BI market will grow to $33.3 Table of Contents.

Business Intelligence 213

Business Intelligence Dashboards Interactive Visualization 213

BizAcuity

MARCH 31, 2022

You must be tired of continuously hearing quotes like, ‘data is the new oil’ and what not. Combined, it has come to a point where data analytics is your safety net first, and business driver second. These industries accumulate ridiculous amounts of data on a daily basis. AI Adoption and Data Strategy. AI for Business.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

IBM Big Data Hub

OCTOBER 26, 2023

Due to increased demand of data-driven asset management, it is critical to combine data from different areas of an organization, which in turn helps organizations discover trends, make predictions and take better informed asset management decisions. and add-ons by September 2025.

Consulting 103

Consulting Data Processing Cost-Benefit Risk 103

IBM Big Data Hub

OCTOBER 20, 2023

AI platform tools enable knowledge workers to analyze data, formulate predictions and execute tasks with greater speed and precision than they can manually. AI platforms assist with a multitude of tasks ranging from enforcing data governance to better workload distribution to the accelerated construction of machine learning models.

Machine Learning 79

Machine Learning Manufacturing Cost-Benefit Deep Learning 79

Sisense

OCTOBER 14, 2020

Here, we focus on the role of the data team in successfully applying advanced analytics and ensuring that you get the most from your data to make your organization truly data-driven. Smart organizations already appreciate the power of data and its influence on building successful strategies.

Data-driven 98

Data-driven Machine Learning Dashboards Sales 98

IBM Big Data Hub

OCTOBER 12, 2023

Connecting AI models to a myriad of data sources across cloud and on-premises environments AI models rely on vast amounts of data for training. Once trained and deployed, models also need reliable access to historical and real-time data to generate content, make recommendations, detect errors, send proactive alerts, etc.

Cost-Benefit 83

Cost-Benefit Metadata Data Governance Modeling 83

Cloudera

APRIL 9, 2021

Enterprise data warehouse platform owners face a number of common challenges. In this article, we look at seven challenges, explore the impacts to platform and business owners and highlight how a modern data warehouse can address them. ETL jobs and staging of data often often require large amounts of resources. Multiplatform.

Data Warehouse 58

Data Warehouse Cost-Benefit Statistics Data-driven 58

Smart Data Collective

APRIL 7, 2022

Data visualization has become a major part of life for those looking to make use of the large swathes of data available in the modern world. As important as this data is, understanding and making use of that data is even more important. That’s where data visualization comes in.

Visualization 133

Visualization Strategy Broadcasting Big Data 133

Smart Data Collective

JUNE 1, 2023

As a result, many organizations are turning to AI-driven low-code frameworks to accelerate their development processes and bring innovative solutions to market more quickly. It is integrated with Microsoft Dataverse, linking all your data with Microsoft 365, Dynamics 365, and Azure capabilities. What are Low-Code AI Frameworks?

Cost-Benefit 98

Cost-Benefit Software Digital Transformation Visualization 98

IBM Big Data Hub

NOVEMBER 16, 2023

We need a three-pronged approach to long-term sustainability: preparing the workforce with skills for a greener future; forging strategic cross-sector partnerships; and empowering purpose-driven individuals and organizations with the right tools and technology to accelerate action.

Forecasting 81

Forecasting Technology Data-driven Consulting 81

Andrew White

JANUARY 11, 2021

It was titled, The Gartner 2021 Leadership Vision for Data & Analytics Leaders. This was for the Chief Data Officer, or head of data and analytics. The fill report is here: Leadership Vision for 2021: Data and Analytics. Which industry, sector moves fast and successful with data-driven?

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Andrew White

MARCH 31, 2023

How would I sum up several days in Orlando at our 2023 Data and Analytics conference last week – March 19th-22nd, 2023: Confusion Hype Voice of the Business Fort of all it was a fun time. A workshop that helps diagnostically map specific data to specific business outcomes. Both build semantic maps that span silos of data.

Analytics 40

Analytics Marketing Visualization Data-driven 40

Jet Global

MARCH 4, 2024

The CSRD and the ESRS will be implemented in 4 stages, the first of which will enter into force in 2025 and will apply to the financial year 2024. Companies will have to publish their first sustainability reports under the new standards by as soon as 2025 1. Reports due in 2025. Reports due in 2026.

Reporting 52

Reporting Management Cost-Benefit Enterprise 52

Jet Global

MARCH 4, 2024

The first wave of companies currently falls under the microscope in 2025. While there is talk of the first filing being delayed until 2026, this still only leaves limited time to build robust systems and processes for gathering, verifying, and reporting comprehensive ESG data.

Reporting 52

Reporting Data-driven Software Risk 52