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 95

Data Lake Unstructured Data Data Warehouse Data Quality 95

CIO Business Intelligence

JUNE 14, 2023

This can be achieved by utilizing dense storage nodes and implementing fault tolerance and resiliency measures for managing such a large amount of data. First and foremost, you need to focus on the scalability of analytics capabilities, while also considering the economics, security, and governance implications. Focus on scalability.

Unstructured Data 62

Unstructured Data IT Manufacturing Visualization 62

Cloudera

NOVEMBER 25, 2020

In any pharma, one of the largest data problems is variety, and it has been unsolved for the last 11 years, because: . Sample and treatment history data is mostly structured, using analytics engines that use well-known, standard SQL. Legacy systems do not scale with the new data needs.

Data Warehouse 58

Data Warehouse Unstructured Data Analytics Visualization 58

Jet Global

NOVEMBER 5, 2020

Reporting will change in D365 F&SCM, and those changes could significantly increase complexity and total cost of ownership. To enhance security, Microsoft has decided to restrict that kind of direct database access in D365 F&SCM and replace it with an abstraction layer comprised of something called “data entities”.

Data Lake 98

Data Lake OLAP Data Warehouse Unstructured Data 98

Sisense

JUNE 30, 2020

Everyone wants to get more out of their data, but how exactly to do that can leave you scratching your head. Our BI Best Practices demystify the analytics world and empower you with actionable how-to guidance. When BI and analytics users want to see analytics results, and learn from them quickly, they rely on data visualizations.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

Jet Global

OCTOBER 30, 2020

For leaders in the finance and accounting department, it can often be frustrating to have conversations with IT experts about your reporting needs. Reporting: A Few Technical Basics. Financial and operational reports retrieve master data and transactional information from your ERP databases using something called “SQL.”

Data Lake 52

Data Lake Unstructured Data Reporting Finance 52

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

Cloudera

JUNE 7, 2022

We live in a hybrid data world. In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB.

IT 110

IT Data Architecture Unstructured Data Big Data 110

Smart Data Collective

MARCH 16, 2020

He should elaborate more on the benefits of big data and deep learning. A lot of big data experts argue that deep learning is key to controlling costs. Health IT Analytics wrote an article on the cost benefits of using big data in healthcare. Unstructured or unstructured data is the opposite.

Deep Learning 78

Deep Learning Unstructured Data Cost-Benefit Big Data 78

Sisense

JULY 23, 2021

All of this data is integral to learning and knowledge management.“While While data and analytics are nothing new to the Olympics — they’ve been used in some form or another for many, many years — what is new is the importance of using data to manage the evolving changing models for delivery of the Games,” Chris says. >>>Infused

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105

Jet Global

MAY 9, 2024

A data pipeline is a series of processes that move raw data from one or more sources to one or more destinations, often transforming and processing the data along the way. Data pipelines support data science and business intelligence projects by providing data engineers with high-quality, consistent, and easily accessible data.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

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. Deploying Data Lakes in the cloud. Numbers are only good if the data quality is good.

Data Lake 102

Data Lake Unstructured Data Cost-Benefit Data Quality 102

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. Technicals such as data warehouse, online analytical processing (OLAP) tools, and data mining are often binding.

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

CIO Business Intelligence

AUGUST 18, 2022

Previously, Walgreens was attempting to perform that task with its data lake but faced two significant obstacles: cost and time. Those challenges are well-known to many organizations as they have sought to obtain analytical knowledge from their vast amounts of data. Trading teams wanted to collaborate, but data was scattered.

Data Lake 139

Data Lake Data Warehouse Unstructured Data Business Intelligence 139

Jet Global

NOVEMBER 7, 2023

When extracting your financial and operational reporting data from a cloud ERP, your enterprise organization needs accurate, cost-efficient, user-friendly insights into that data. While real-time extraction is historically faster, your team needs the reliability of the replication process for your cloud data extraction.

Enterprise 52

Enterprise Data Warehouse Operational Reporting Reporting 52

AWS Big Data

FEBRUARY 22, 2023

The data lake implemented by Ruparupa uses Amazon S3 as the storage platform, AWS Database Migration Service (AWS DMS) as the ingestion tool, AWS Glue as the ETL (extract, transform, and load) tool, and QuickSight for analytic dashboards. This long processing time reduced the analytic team’s productivity.

Data Lake 52

Data Lake Dashboards Cost-Benefit Metadata 52

Cloudera

OCTOBER 28, 2021

I’ve had the pleasure to participate in a few Commercial Lines insurance industry events recently and as a prior Commercial Lines insurer myself, I am thrilled with the progress the industry is making using data and analytics. Commercial Lines truly is an “uber industry” with respect to data. Another example is fleet management.

Insurance 96

Insurance Risk Unstructured Data Data-driven 96

CIO Business Intelligence

JUNE 23, 2022

We live in a hybrid data world. In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB.

IT 72

IT Data Architecture Unstructured Data Big Data 72

AWS Big Data

APRIL 19, 2023

Data creation, consumption, and storage are predicted to grow to 175 zettabytes by 2025, forecasted by the 2022 IDC Global DataSphere report. As data workloads grow, costs to scale and manage data usage with the right governance typically increase as well. With the right analytics approach, this is possible.

Data Warehouse 55

Data Warehouse Data Lake Unstructured Data Optimization 55

Laminar Security

AUGUST 21, 2023

As we hit 2023, Gartner’s Hype Cycle for Data Security sheds light on the latest advancements and technologies that can bolster data security including data security posture management (DSPM). Organizations should assess integration capabilities and standardize remediation processes.

Management 40

Management Risk Unstructured Data Data Strategy 40

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

FineReport

DECEMBER 27, 2021

Usually, enterprise BI incorporates relatively rigid, well-structured data models on data warehouses or data marts. The data sources are enterprise-class and monolithic, requiring long read times and IT engagement to adjust to changes in business requirements. The data is managed, secure and tested for accuracy.

Enterprise 59

Enterprise Dashboards Business Intelligence Visualization 59

Sisense

MAY 11, 2021

You can’t talk about data analytics without talking about data modeling. These two functions are nearly inseparable as we move further into a world of analytics that blends sources of varying volume, variety, veracity, and velocity. But this was only the tip of the analytics iceberg.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

erwin

JUNE 26, 2020

A data catalog uses metadata, data that describes or summarizes data, to create an informative and searchable inventory of all data assets in an organization. Automating the cataloging of data assets saves initial development time and streamlines its ongoing maintenance and governance.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

Cloudera

DECEMBER 11, 2020

This is what really stood out about the finalists of the Data Security and Governance category. These customers have embedded security and governance throughout their entire data and analytics lifecycle by design. Merck KGaA’s advanced analytics team had the solution. Underpinning everything with security and governance.

Data Lake 98

Data Lake Cost-Benefit Unstructured Data Data Governance 98

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 Warehouse Data-driven 52

FineReport

FEBRUARY 5, 2020

Based on the study of the evaluation criteria of Gartner Magic Quadrant for analytics and Business Intelligence Platforms, I have summarized top 10 key features of BI tools for your reference. Overall, as users’ data sources become more extensive, their preferences for BI are changing. Analytics dashboards.

Metadata 98

Metadata Dashboards Informatics Visualization 98

Ontotext

FEBRUARY 26, 2024

RED’s focus on news content serves a pivotal function: identifying, extracting, and structuring data on events, parties involved, and subsequent impacts. Strategic planning and predictive analytics : Companies can use this analysis for strategic planning. Let’s have a quick look under the bonnet.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

CIO Business Intelligence

APRIL 4, 2023

A complex data landscape prevents data scientists and data engineers from easily linking the right data together at the right time. Additionally, multiple systems of record create a confusing environment when those sources do not report the same answers.

Data Architecture 52

Data Architecture Data Lake Data Warehouse Cost-Benefit 52

Cloudera

JULY 26, 2021

PoS and transaction data to optimize supply chain operations). A growing desire for self-service analytics among internal data consumers and knowledge workers, external partners and clients. hybrid or public, multi-cloud) and advanced analytical frameworks (e.g., Deep Java Learning, Apache Spark 3.x,

Strategy 117

Strategy Data Science Marketing Unstructured Data 117

AWS Big Data

JULY 19, 2023

We’ve seen that there is a demand to design applications that enable data to be portable across cloud environments and give you the ability to derive insights from one or more data sources. With this connector, you can bring the data from Google Cloud Storage to Amazon S3.

Big Data 85

Big Data Software Consulting Unstructured Data 85

AWS Big Data

OCTOBER 20, 2023

We’ve seen a demand to design applications that enable data to be portable across cloud environments and give you the ability to derive insights from one or more data sources. With these connectors, you can bring the data from Azure Blob Storage and Azure Data Lake Storage separately to Amazon S3. Learn more in README.

Data Lake 86

Data Lake Big Data Consulting Data Warehouse 86

Smarten

MAY 17, 2017

Smart Data Visualization provides many benefits to the organization and to the business users, who will leverage the selected BI tools to gather, analyze, share and report on data. Traditional data visualization is static and while it may offer a choice of graphs and displays, it is not interactive beyond a point.

Visualization 40

Visualization Business Intelligence Unstructured Data Interactive 40

Cloudera

OCTOBER 7, 2021

Those decentralization efforts appeared under different monikers through time, e.g., data marts versus data warehousing implementations (a popular architectural debate in the era of structured data) then enterprise-wide data lakes versus smaller, typically BU-Specific, “data ponds”.

Metadata 124

Metadata Cost-Benefit Enterprise Interactive 124