Sisense

MAY 28, 2020

Product teams are already having to manage the growing complexities that come with modern data environments. Chandana Gopal, Business Analytics Research Director, IDC. They should then look to deliver measurable value with short term projects to build business cases for more expensive or longer projects.”.

Internet of Things 83

Internet of Things Metadata Data-driven Unstructured Data 83

Cloudera

FEBRUARY 8, 2021

CML creates, updates, and manages the connected vehicles machine learning models facilitating secure and fast ML workflows, has the power and scale AI use cases everywhere, provides self-service compute, IDEs, libraries, and frameworks, and can deliver models across hybrid-clouds.

Machine Learning 109

Machine Learning Manufacturing Unstructured Data Modeling 109

datapine

AUGUST 14, 2019

Geet our bite-sized free summary and start building your data skills! What Is A Data Science Tool? In the past, data scientists had to rely on powerful computers to manage large volumes of data. Geet our bite-sized free summary and start building your data skills!

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

BizAcuity

NOVEMBER 26, 2019

Microsoft Power BI is a business analytics tool, which is a collection of apps, connectors, and software services that work together to turn unrelated sources of data into coherent information. You can work with unstructured data, use modern rendering, publish, integrate and collaborate easily across platforms.

Reporting 84

Reporting Recreation/Entertainment Interactive Data Processing 84

Smart Data Collective

FEBRUARY 2, 2021

Also, thanks to Big Data, recruitment is now more accurate. Keep in mind that recruitment agencies have to deal with huge volumes of unstructured data, and analyzing all this data by traditional means is not only slow, but also ineffective.

Big Data 85

Big Data Recreation/Entertainment Cost-Benefit Finance 85

Sisense

NOVEMBER 12, 2020

Cloud data warehouses took the benefits of the cloud and applied them to data warehouses — bringing massive parallel processing to data teams of all sizes. Scaling the warehouse as business analytics needs grow is as simple as clicking a few buttons (and in some cases, it is even automatic).

Data Warehouse 52

Data Warehouse Data Lake OLAP Data-driven 52

BizAcuity

NOVEMBER 27, 2019

Microsoft Power BI is a business analytics tool, which is a collection of apps, connectors, and software services that work together to turn unrelated sources of data into coherent information. You can work with unstructured data, use modern rendering, publish, integrate and collaborate easily across platforms.

Reporting 52

Reporting Recreation/Entertainment Interactive Data Processing 52

BizAcuity

NOVEMBER 27, 2019

Microsoft Power BI is a business analytics tool, which is a collection of apps, connectors, and software services that work together to turn unrelated sources of data into coherent information. You can work with unstructured data, use modern rendering, publish, integrate and collaborate easily across platforms.

Reporting 52

Reporting Recreation/Entertainment Interactive Data Processing 52

Sisense

MAY 26, 2020

In this post, we’ll discuss these challenges in detail and include some tips and tricks to help you handle text data more easily. Unstructured data and Big Data. Most common challenges we face in NLP are around unstructured data and Big Data. is “big” and highly unstructured.

Unstructured Data 98

Unstructured Data Big Data Testing Machine Learning 98

CIO Business Intelligence

MARCH 9, 2022

As a result, users can easily find what they need, and organizations avoid the operational and cost burdens of storing unneeded or duplicate data copies. Newer data lakes are highly scalable and can ingest structured and semi-structured data along with unstructured data like text, images, video, and audio.

Data Lake 119

Data Lake Unstructured Data Data Warehouse Data Quality 119

Rita Sallam

JULY 22, 2016

Summary of Differences Between Traditional and Modern Business Intelligence Platforms by Analytic Workflow Component. Q2: Would you consider Sisense better than others in handling big and unstructured data? Research VP, Business Analytics and Data Science. Answer: Better than every other vendor?

Analytics 40

Analytics Business Intelligence Metadata Statistics 40

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

Grooper

AUGUST 19, 2019

Applied analytics Business analytics Machine learning and data science. Applied Analytics. Applied analytics is all about building a business analytics portfolio of actionable insights which directly affect and improve business processes. Data pipelines. Business Analytics.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

Sisense

DECEMBER 12, 2019

Again: business intelligence is no longer optional for understanding data and gaining a competitive edge. No competitive business is still using Excel to crunch large, scattered and unstructured data sets? No employee has a week to kill cleaning up data so it all makes sense together. Those days are over.

Business Intelligence 88

Business Intelligence Software Data-driven Visualization 88

datapine

FEBRUARY 22, 2022

With this issue in mind, the BI industry has developed multiple solutions that rely on data visualizations to give a more friendly and intuitive approach to business analytics. It takes time and knowledge to make the best out of such assets, as well as a solid planification.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

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 64

Data Architecture Data Lake Machine Learning Data Governance 64

Jet Global

MAY 9, 2024

The architecture may vary depending on the specific use case and requirements, but it typically includes stages of data ingestion, transformation, and storage. Data ingestion methods can include batch ingestion (collecting data at scheduled intervals) or real-time streaming data ingestion (collecting data continuously as it is generated).

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52