CIO Business Intelligence

OCTOBER 25, 2023

Enterprises will likely gravitate to data loss prevention (DLP) technologies that allow them to create policies preventing the leakage of sensitive data like source code, structured data like credit card information, and PII. Deliver top-down visualization and reporting. Drive prioritized remediation.

Enterprise 132

Enterprise Risk Manufacturing Finance 132

O'Reilly on Data

APRIL 19, 2021

The second-most significant barrier was the availability of quality data. The percentage of respondents reporting “mature” practices has been roughly the same for the last few years. There’s no significant difference between these three continents in our 2021 data. form data). Asia has clearly caught up.

Enterprise 356

Enterprise Modeling Risk Manufacturing 356

erwin

SEPTEMBER 10, 2020

Yet given this era of digital transformation and fierce competition, understanding what data you have, where it came from, how it’s changed since creation or acquisition, and whether it poses any risks is paramount to optimizing its value. Data Lineage Tells an Important Origin Story. Who are the data owners?

Data Governance 131

Data Governance Key Performance Indicator Digital Transformation Metadata 131

Sisense

APRIL 26, 2020

Structured vs unstructured data. Structured data is far easier for programs to understand, while unstructured data poses a greater challenge. However, both types of data play an important role in data analysis. Structured data. Structured data is organized in tabular format (ie.

Unstructured Data 52

Unstructured Data Data Warehouse Structured Data Data mining 52

AWS Big Data

JANUARY 12, 2024

Before data records land on Amazon S3, we implement an ingestion layer to bring all data streams reliably and securely to the data lake. Kinesis Data Streams is deployed as an ingestion layer for accelerated intake of structured and semi-structured data streams.

Data Lake 95

Data Lake Cost-Benefit Visualization Structured Data 95

Alation

JULY 13, 2021

Accompanying this acceleration is the increasing complexity of data. Many organizations continue to handle structured data, transactional data, and log data. Complex data management is on the rise. She has written hundreds of articles on data mining and information technology.

Strategy 52

Strategy Data mining Structured Data Data Governance 52

Octopai

JUNE 26, 2020

Why aren’t the numbers in these reports matching up? We’re dealing with data day in and day out, but if isn’t accurate then it’s all for nothing!” In a panic, he went from desk to desk asking his teammates if they had been working on the same reports that day. They deal with tens if not hundreds of reports each day….

Metadata 84

Metadata Data Governance Enterprise Reporting 84

CIO Business Intelligence

MARCH 24, 2023

SAS Data Management Built on the SAS platform, SAS Data Management provides a role-based GUI for managing processes and includes an integrated business glossary, SAS and third-party metadata management, and lineage visualization. Informatica Axon Informatica Axon is a collection hub and data marketplace for supporting programs.

Data Governance 142

Data Governance Management Metadata Data Quality 142

DataRobot

APRIL 19, 2021

But for more complex business decisions, including those that use less structured data, we have artificial intelligence systems. Data scientists train the algorithms using datasets that contain curated learning examples. They need data assembly, data science, integration, and visualization skills.

Machine Learning 52

Machine Learning Visualization Data-driven Modeling 52

Sisense

OCTOBER 6, 2020

Most commonly, we think of data as numbers that show information such as sales figures, marketing data, payroll totals, financial statistics, and other data that can be counted and measured objectively. This is quantitative data. It’s “hard,” structured data that answers questions such as “how many?”

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

Jet Global

SEPTEMBER 4, 2020

Consultants and developers familiar with the AX data model could query the database using any number of different tools, including a myriad of different report writers. The SQL query language used to extract data for reporting could also potentially be used to insert, update, or delete records from the database.

Data Lake 88

Data Lake OLAP Data Warehouse Unstructured Data 88

datapine

MAY 27, 2020

In recent years, analytical reporting has evolved into one of the world’s most important business intelligence components, compelling companies to adapt their strategies based on powerful data-driven insights. What Is An Analytical Report? Your Chance: Want to build your own analytical reports completely free?

Reporting 245

Reporting Analytics Dashboards Sales 245

AWS Big Data

MARCH 7, 2023

It includes business intelligence (BI) users, canned and interactive reports, dashboards, data science workloads, Internet of Things (IoT), web apps, and third-party data consumers. Popular consumption entities in many organizations are queries, reports, and data science workloads.

Analytics 73

Analytics Data Warehouse Data Lake Metadata 73

Rocket-Powered Data Science

JULY 7, 2019

Computer Vision: Data Mining: Data Science: Application of scientific method to discovery from data (including Statistics, Machine Learning, data visualization, exploratory data analysis, experimentation, and more). NLG is a software process that transforms structured data into human-language content.

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

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

Sisense

MARCH 14, 2021

However, when investigating big data from the perspective of computer science research, we happily discover much clearer use of this cluster of confusing concepts. As we move from right to left in the diagram, from big data to BI, we notice that unstructured data transforms into structured data.

Big Data 52

Big Data IoT Data-driven Data Warehouse 52

Sisense

JUNE 8, 2020

“This ability to pull data sets together from a cloud-native environment for better transparency and faster decision making, in turn, can give analysts the speed they need to answer questions quickly and more accurately with more data collaboration,” Lee added. Deeper insights from bigger data sets.

Data Warehouse 89

Data Warehouse Data-driven Dashboards Sales 89

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. Numbers are only good if the data quality is good.

Data Lake 102

Data Lake Unstructured Data Cost-Benefit Data Quality 102

Ontotext

JULY 26, 2019

Knowledge graphs are now also a buzzword among companies who are looking to integrate data from multiple sources and break the silos their legacy systems have left them with. As we read in Gartner’s report, knowledge graphs are “ ideally suited to storing data extracted from the analysis of unstructured sources ”.

Technology 75

Technology Enterprise Data Integration Management 75

AWS Big Data

MARCH 13, 2024

Visual layouts in some screenshots in this post may look different than those on your AWS Management Console. Data generation In this section, we discuss the steps to manually or automatically generate journey data. To query the data with Athena, complete the following steps: On the Athena console, open the query editor.

Analytics 96

Analytics IoT Metadata Internet of Things 96

Juice Analytics

MAY 1, 2021

It is a skill that combines elements of artistic expression and structured methods. Then we will discuss how to structure data stories to guide your audience through data. Part 1: Lessons in Data Storytelling from Pixar Pixar is the gold standard in storytelling.

Slice and Dice 133

Slice and Dice Recreation/Entertainment Structured Data Dashboards 133

Ontotext

JULY 6, 2023

This shift of both a technical and an outcome mindset allows them to establish a centralized metadata hub for their data assets and effortlessly access information from diverse systems that previously had limited interaction. There are four groups of data that are naturally siloed: Structured data (e.g.,

Cost-Benefit 52

Cost-Benefit Experimentation Metadata Risk 52

Ontotext

MARCH 8, 2023

Specifically, the increasing amount of data being generated and collected, and the need to make sense of it, and its use in artificial intelligence and machine learning, which can benefit from the structured data and context provided by knowledge graphs. We get this question regularly.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

Ontotext

JULY 26, 2019

Knowledge graphs are now also a buzzword among companies who are looking to integrate data from multiple sources and break the silos their legacy systems have left them with. As we read in Gartner’s report, knowledge graphs are “ ideally suited to storing data extracted from the analysis of unstructured sources ”.

Technology 40

Technology Data Integration Enterprise Structured Data 40

CIO Business Intelligence

OCTOBER 18, 2022

Noel had already established a relationship with consulting firm Resultant through a smaller data visualization project. You’d scan your credit card to get your concessions or your hat, or pay cash, and the team wouldn’t see that report until the next day or the next week.”.

Data Transformation 141

Data Transformation Consulting Data Lake Reporting 141

FineReport

JUNE 24, 2021

Data is the key to gaining great insights for most businesses, but it is also one of the biggest obstacles. Originally, Excel has always been the “solution” for various reporting and data needs. All BI software capabilities, functionalities, and features focus on data. Data preparation and data processing.

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

datapine

APRIL 28, 2023

Another example is when building reports using code. While many modern SQL reporting tools automate code-generation saving programmers a lot of time, it is still necessary to have knowledge on the topic to solve any issues that might arise and ensure efficient reports are built.

Reporting 200

Reporting Data-driven Visualization Software 200

FineReport

DECEMBER 27, 2021

Dashboards and visualizations are the primary user interfaces of many tools and platforms. Usually, enterprise BI incorporates relatively rigid, well-structured data models on data warehouses or data marts. The data is managed, secure and tested for accuracy. Self-service BI. Enterprise BI solution.

Enterprise 59

Enterprise Dashboards Business Intelligence Visualization 59

AWS Big Data

MARCH 26, 2024

Without C360, businesses face missed opportunities, inaccurate reports, and disjointed customer experiences, leading to customer churn. You can use the same capabilities to serve financial reporting, measure operational performance, or even monetize data assets. QuickSight offers scalable, serverless visualization capabilities.

Data Strategy 69

Data Strategy Strategy Data Warehouse Prescriptive Analytics 69

Jet Global

FEBRUARY 6, 2024

The landscape of business intelligence (BI) is undergoing a metamorphosis, demanding solutions that transcend static reports and siloed data. Hidden patterns in your data are illuminated in real-time, fostering intuitive, interactive exploration that unlocks the true narrative within your numbers.

Dashboards 52

Dashboards Visualization Data-driven Reporting 52

FineReport

APRIL 11, 2023

Every user can now create interactive reports and utilize data visualization to disseminate knowledge to both internal and external stakeholders. These dashboards are more interactive than traditional static reports, allowing users to access underlying data for further analysis.

Dashboards 40

Dashboards Business Intelligence Cost-Benefit Metrics 40

AWS Big Data

APRIL 20, 2023

Customers use Amazon Redshift to run their business-critical analytics on petabytes of structured and semi-structured data. Apache Spark enables you to build applications in a variety of languages, such as Java, Scala, and Python, by accessing the data in your Amazon Redshift data warehouse.

Data Lake 79

Data Lake Data Warehouse Sales Data-driven 79

FineReport

JULY 18, 2022

The features you or your company need are core factors influencing your selection of the data analytics tool. For example, if you want the features of data visualization , such as stunning dashboards and rich charts, business intelligence tools are more suitable for you than a pure programming tool. Free Download. From FineBI.

Forecasting 52

Forecasting Dashboards Statistics Visualization 52

Ontotext

FEBRUARY 26, 2024

Further, RED’s underlying model can be visually extended and customized to complex extraction and classification tasks. RED’s focus on news content serves a pivotal function: identifying, extracting, and structuring data on events, parties involved, and subsequent impacts. Here’s how our tool makes it work.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

FineReport

FEBRUARY 5, 2020

At the same time, the system supports administrators to associate and integrate metadata processed and stored by users with the underlying data connected to the BI platform. Create highly interactive dashboards and content with visual exploration operations and embedded advanced geospatial analysis. Interactive visual exploration.

Metadata 98

Metadata Dashboards Informatics Business Intelligence 98

Juice Analytics

MARCH 27, 2021

First, you can choose from a variety of PowerPoint plug-ins that will allow you to connect your PowerPoint slides to different data sources and automate the generation of those slides (we’ve listed three such solutions below). Alternatively, you may consider web-based solutions to deliver your report or presentation. Reach Reporting ?

Reporting 122

Reporting Visualization Software Interactive 122

CIO Business Intelligence

JUNE 14, 2023

Admittedly, it’s still pretty difficult to visualize this difference. Consider data types. How is it possible to manage the data lifecycle, especially for extremely large volumes of unstructured data? Evaluate data across the full lifecycle. Here is how Cloudera visualizes and controls the data lifecycle.

Unstructured Data 64

Unstructured Data IT Manufacturing Visualization 64