Sisense

JUNE 30, 2020

In a world increasingly dominated by data, users of all kinds are gathering, managing, visualizing, and analyzing data in a wide variety of ways. One of the downsides of the role that data now plays in the modern business world is that users can be overloaded with jargon and tech-speak, which can be overwhelming.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

datapine

AUGUST 14, 2019

Data science has become an extremely rewarding career choice for people interested in extracting, manipulating, and generating insights out of large volumes of data. To fully leverage the power of data science, scientists often need to obtain skills in databases, statistical programming tools, and data visualizations.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

CIO Business Intelligence

JANUARY 9, 2025

In many cases, this eliminates the need for specialized teams, extensive data labeling, and complex machine-learning pipelines. The extensive pre-trained knowledge of the LLMs enables them to effectively process and interpret even unstructured data. and immediately receive relevant answers and visualizations.

Software 128

Software Enterprise Key Performance Indicator Machine Learning 128

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. Visual analytics: Around three million images are uploaded to social media every single day. Artificial Intelligence (AI).

Technology 279

Technology Internet of Things IT IoT 279

CIO Business Intelligence

AUGUST 9, 2024

At Atlanta’s Hartsfield-Jackson International Airport, an IT pilot has led to a wholesale data journey destined to transform operations at the world’s busiest airport, fueled by machine learning and generative AI. He is a very visual person, so our proof of concept collects different data sets and ingests them into our Azure data house.

Data Transformation 126

Data Transformation Machine Learning Data Lake Dashboards 126

datapine

FEBRUARY 22, 2022

Rely on interactive data visualizations. Although it is not a specific step, using intuitive data visualizations still goes into the BI strategy framework as an important element to consider when choosing the right tool for your company. For decades now, data analytics has been considered a segregated task.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Dashboards 218

DataKitchen

APRIL 13, 2021

DataOps needs a directed graph-based workflow that contains all the data access, integration, model and visualization steps in the data analytic production process. It orchestrates complex pipelines, toolchains, and tests across teams, locations, and data centers. Meta-Orchestration . Production Monitoring Only.

Testing 300

Testing Machine Learning Consulting Data Science 300

FineReport

JULY 1, 2021

BI technology is a series of technologies that can handle a large amount of structured and sometimes unstructured data. Their purpose is to help identify, develop and otherwise tap the value of big data and create opportunities for new strategic businesses. Data warehouse. Data querying & discovery.

Business Intelligence 98

Business Intelligence Technology Data Warehouse Dashboards 98

datapine

DECEMBER 4, 2019

Considered a new big buzz in the computing and BI industry, it enables the digestion of massive volumes of structured and unstructured data that transform into manageable content. Visual analytics tools empower business users to perform these actions in a graphic manner, without needing to learn complicated query languages such as SQL.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

datapine

NOVEMBER 19, 2019

Social BI indicates the process of gathering, analyzing, publishing, and sharing data, reports, and information. This is done using interactive Business Intelligence and Analytics dashboards along with intuitive tools to improve data clarity. Analytical tools are used to achieve user understanding and comfort.

Business Intelligence 146

Business Intelligence Knowledge Discovery Dashboards Unstructured Data 146

AWS Big Data

AUGUST 3, 2023

With the rapid growth of technology, more and more data volume is coming in many different formats—structured, semi-structured, and unstructured. Data analytics on operational data at near-real time is becoming a common need. Then we can query the data with Amazon Athena visualize it in Amazon QuickSight.

Data Lake 88

Data Lake Visualization Dashboards Insurance 88

Cloudera

NOVEMBER 10, 2020

HUE also comes with a simplistic form of pre-visualization of results and download result sets as csv files or pdfs, for local exploration or further insight sharing. It, therefore, makes sense to provide a seamless transition from the context of HUE to Cloudera’s new, built-in Data Visualization tool.

Visualization 112

Visualization Optimization Unstructured Data Dashboards 112

FineReport

JULY 28, 2021

Business Intelligence describes the process of using modern data warehouse technology, data analysis and processing technology, data mining, and data display technology for visualizing, analyzing data, and delivering insightful information. financial dashboard (by FineReport). What is Data Science?

Business Intelligence 98

Business Intelligence Data Science Data Analytics Analytics 98

FineReport

FEBRUARY 5, 2020

Overall, as users’ data sources become more extensive, their preferences for BI are changing. They prefer self-service development, interactive dashboards, and self-service data exploration. To put it bluntly, users increasingly want to do their own data analysis without having to find support from the IT department.

Metadata 98

Metadata Dashboards Informatics Visualization 98

AWS Big Data

FEBRUARY 26, 2025

The next generation of SageMaker also introduces new capabilities, including Amazon SageMaker Unified Studio (preview) , Amazon SageMaker Lakehouse , and Amazon SageMaker Data and AI Governance. This feature is now available in all the AWS commercial Regions where Amazon DataZone is supported.

Analytics 59

Analytics Data Lake Metadata Data Warehouse 59

CIO Business Intelligence

SEPTEMBER 14, 2023

They’re often responsible for building algorithms for accessing raw data, too, but to do this, they need to understand a company’s or client’s objectives, as aligning data strategies with business goals is important, especially when large and complex datasets and databases are involved.

Analytics 135

Analytics Data Science Unstructured Data Data mining 135

AWS Big Data

JULY 29, 2024

In the era of big data, data lakes have emerged as a cornerstone for storing vast amounts of raw data in its native format. They support structured, semi-structured, and unstructured data, offering a flexible and scalable environment for data ingestion from multiple sources.

Metadata 119

Metadata Snapshot Data Lake Metrics 119

Sisense

JULY 22, 2020

They hold structured data from relational databases (rows and columns), semi-structured data ( CSV , logs, XML , JSON ), unstructured data (emails, documents, PDFs), and binary data (images, audio , video). Sisense provides instant access to your cloud data warehouses. Building dashboards and widgets.

Slice and Dice 98

Slice and Dice Digital Transformation Data Warehouse Data Lake 98

BizAcuity

MARCH 29, 2019

Data lakes are centralized repositories that can store all structured and unstructured data at any desired scale. The power of the data lake lies in the fact that it often is a cost-effective way to store data. In the future of healthcare, data lake is a prominent component, growing across the enterprise.

Data Lake 102

Data Lake Unstructured Data Cost-Benefit Data Quality 102

CIO Business Intelligence

AUGUST 9, 2022

Data engineers are often responsible for building algorithms for accessing raw data, but to do this, they need to understand a company’s or client’s objectives, as aligning data strategies with business goals is important, especially when large and complex datasets and databases are involved. Data engineer vs. data architect.

Analytics 131

Analytics Data Science Statistics Unstructured Data 131

Cloudera

AUGUST 16, 2021

CDF-PC enables Apache NiFi users to run their existing data flows on a managed, auto-scaling platform with a streamlined way to deploy NiFi data flows and a central monitoring dashboard making it easier than ever before to operate NiFi data flows at scale in the public cloud.

Dashboards 122

Dashboards Metrics KPI Data-driven 122

Sisense

AUGUST 21, 2020

One result is that systems become much more intuitive: Users can take advantage of the “Simply Ask” feature to check “what are my sales next two months” and receive chatbot messages with projected visualizations and suggestions for further exploration routes. Trend 2: Decline of the dashboard. It’s visual, it’s spoken, it’s audible.

Analytics 112

Analytics Machine Learning Dashboards Visualization 112

Domino Data Lab

JANUARY 21, 2021

While these tools are extremely useful for creating polished, reusable, visual dashboards for presenting data-driven insights, they are far less flexible in their ability to produce the information required to form the basis of a predictive modeling task. Data visualization blog posts are a dime a dozen.

Statistics 106

Statistics Unstructured Data Data Science Visualization 106

AWS Big Data

JANUARY 8, 2024

In this post, we will review the common architectural patterns of two use cases: Time Series Data Analysis and Event Driven Microservices. All these architecture patterns are integrated with Amazon Kinesis Data Streams. Stream ingestion – The stream ingestion layer is responsible for ingesting data into the stream storage layer.

Analytics 124

Analytics IoT Data-driven Snapshot 124

FineReport

MARCH 7, 2024

As we explore examples of data analysis reports and interactive report data analysis dashboards, we embark on a journey to unravel the nuanced art of transforming raw data into meaningful narratives that empower decision-makers. Try FineReport Now 1.1 This will be elaborated on in the third part of this article.

Dashboards 52

Dashboards Reporting Advertising Statistics 52

AWS Big Data

MARCH 7, 2024

You can take all your data from various silos, aggregate that data in your data lake, and perform analytics and machine learning (ML) directly on top of that data. You can also store other data in purpose-built data stores to analyze and get fast insights from both structured and unstructured data.

Data Lake 125

Data Lake Analytics Dashboards Metrics 125

erwin

JUNE 27, 2019

Additional challenges, such as increasing regulatory pressures – from the General Data Protection Regulation (GDPR) to the Health Insurance Privacy and Portability Act (HIPPA) – and growing stores of unstructured data also underscore the increasing importance of a data modeling tool.

Measurement 81

Measurement Modeling Unstructured Data Metadata 81

Cloudera

AUGUST 20, 2021

As a result, CDP-enabled data products can meet multiple and varying functional and non-functional requirements that correspond to product attributes, each fulfilling specific customer needs. A Holistic Visual Exploration of Data. Those major functional and non-functional requirements include: .

Strategy 98

Strategy Cost-Benefit Visualization Data Warehouse 98

Cloudera

APRIL 1, 2024

We scored the highest in hybrid, intercloud, and multi-cloud capabilities because we are the only vendor in the market with a true hybrid data platform that can run on any cloud including private cloud to deliver a seamless, unified experience for all data, wherever it lies.

Unstructured Data 105

Unstructured Data Cost-Benefit Metadata Machine Learning 105

Sisense

OCTOBER 16, 2019

This might sound bafflingly obvious, but you’d be surprised how many times I’ve seen organizations skipping this step and going straight to building their KPI dashboards , without stopping for a second to think whether these KPIs are even relevant to the current project. Who will use the dashboard, and who will receive its outputs?

Management 76

Management IT Dashboards Business Intelligence 76

CIO Business Intelligence

JUNE 14, 2023

Admittedly, it’s still pretty difficult to visualize this difference. How is it possible to manage the data lifecycle, especially for extremely large volumes of unstructured data? However, with the Cloudera Image Warehouse (CIW), it has become possible to sort and analyze large volumes of unstructured data.

Unstructured Data 64

Unstructured Data IT Manufacturing Visualization 64

Cloudera

APRIL 20, 2021

In today’s demand for more business and customer intelligence, companies collect more varieties of data — clickstream logs, geospatial data, social media messages, telemetry, and other mostly unstructured data.

Analytics 95

Analytics Unstructured Data IoT Visualization 95

FineReport

JUNE 24, 2021

All BI software capabilities, functionalities, and features focus on data. Data preparation and data processing. Initially, data has to be collected. Then, once it has turned the raw, unstructured data into a structured data set, it can analyze that data. Data visualization analysis.

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

AWS Big Data

JUNE 18, 2024

Multimodal search enables both text and image search capabilities, transforming how users access data through search applications. Text embeddings capture document semantics, while image embeddings capture visual attributes that help you build rich image search applications.

Dashboards 107

Dashboards Metadata Modeling Visualization 107

IBM Big Data Hub

SEPTEMBER 19, 2023

Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics. It focuses on data collection and management of large-scale structured and unstructured data for various academic and business applications.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

datapine

NOVEMBER 19, 2019

Social BI indicates the process of gathering, analyzing, publishing, and sharing data, reports, and information. This is done using interactive Business Intelligence and Analytics dashboards along with intuitive tools to improve data clarity. Analytical tools are used to achieve user understanding and comfort.

Business Intelligence 20

Business Intelligence Knowledge Discovery Unstructured Data Dashboards 20

BizAcuity

NOVEMBER 26, 2019

Power BI connects to data sources and analyzes what is important while allowing users to create and view reports and dashboards for a 360-degree view of the business from all the diverse sources. It is widely used for modeling and structuring of unshaped data. It can process a large amount of data.

Recreation/Entertainment 84

Recreation/Entertainment Reporting Interactive Data Processing 84