FineReport

JULY 16, 2021

Among these problems, one is that the third party on market data analysis platform or enterprises’ own platforms have been unable to meet the needs of business development. With the advancement of information construction, enterprises have accumulated massive data base. BI INTELLIGENCE (from google). Data Analysis.

Business Intelligence 98

Business Intelligence Informatics Data Warehouse Data mining 98

FineReport

JUNE 11, 2021

As companies striving to embrace digital transformation and become data-driven, business intelligence and analytics skills and experience are essential to building a data-savvy team. However, if someone puts you on the spot, can you clearly tell the difference between business intelligence and analytics?

Business Intelligence 52

Business Intelligence Analytics Dashboards Statistics 52

CIO Business Intelligence

JUNE 5, 2023

We all know that dealing with taxes can be a complicated and frustrating process, especially for those who have their own businesses or generate investment income. Though we know who’s paying your income taxes this April (sorry to rub it in: it’s you), we have to ask: Who’s paying your data integration tax? Data Management

Data Integration 52

Data Integration ROI Risk Finance 52

erwin

JANUARY 17, 2020

What is Data Modeling? Data modeling is a process that enables organizations to discover, design, visualize, standardize and deploy high-quality data assets through an intuitive, graphical interface. Data models provide visualization, create additional metadata and standardize data design across the enterprise.

Data-driven 138

Data-driven Modeling Metadata Data Governance 138

erwin

JANUARY 9, 2020

Then there’s unstructured data with no contextual framework to govern data flows across the enterprise not to mention time-consuming manual data preparation and limited views of data lineage. Today’s data modeling is not your father’s data modeling software.

Data Governance 144

Data Governance Modeling Metadata Unstructured Data 144

AWS Big Data

JULY 19, 2023

You can structure your data, measure business processes, and get valuable insights quickly can be done by using a dimensional model. Amazon Redshift provides built-in features to accelerate the process of modeling, orchestrating, and reporting from a dimensional model. Declare the grain of your data.

Modeling 66

Modeling Sales Data Warehouse Snapshot 66

DataKitchen

SEPTEMBER 21, 2023

Data in Use pertains explicitly to how data is actively employed in business intelligence tools, predictive models, visualization platforms, and even during export or reverse ETL processes. These applications are where the rubber meets the road and often where customers first encounter data quality issues.

Testing 176

Testing Data Quality Predictive Modeling Metrics 176

CIO Business Intelligence

MAY 9, 2024

In today’s data-driven world, the ability to seamlessly integrate structured and unstructured data in a hybrid cloud environment is critical for organizations seeking to harness the full potential of their data assets. However, many enterprises face significant challenges in achieving this seamlessly.

Digital Transformation 52

Digital Transformation Data Integration Unstructured Data Data-driven 52

FineReport

APRIL 21, 2024

Introduction to the World of SaaS BI Tools In today’s data-driven business landscape, SaaS BI tools have emerged as indispensable assets for companies seeking to harness the power of data. But what exactly are SaaS BI tools , and why do they matter in the realm of modern business intelligence?

Business Intelligence 52

Business Intelligence Visualization Dashboards Data-driven 52

CIO Business Intelligence

JUNE 7, 2022

Data analytics draws from a range of disciplines — including computer programming, mathematics, and statistics — to perform analysis on data in an effort to describe, predict, and improve performance. What are the four types of data analytics? In business analytics, this is the purview of business intelligence (BI).

Data Analytics 133

Data Analytics Diagnostic Analytics Management Analytics 133

Jet Global

MAY 9, 2024

Data pipelines are designed to automate the flow of data, enabling efficient and reliable data movement for various purposes, such as data analytics, reporting, or integration with other systems. There are many types of data pipelines, and all of them include extract, transform, load (ETL) to some extent.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

IBM Big Data Hub

JUNE 29, 2023

Data integration and analytics IBP relies on the integration of data from different sources and systems. This may involve consolidating data from enterprise resource planning (ERP) systems, customer relationship management (CRM) systems, supply chain management systems, and other relevant sources.

Key Performance Indicator 84

Key Performance Indicator Forecasting Data Integration Sales 84

BI-Survey

OCTOBER 18, 2018

I t is interesting to see that data integration between on-premises and cloud applications is ranked an equally important use case across all company sizes while data integration between cloud applications becomes more important the smaller the company is. BI and Data Management in the Cloud Report.

Data Integration 40

Data Integration Data mining Reporting Management 40

Jen Stirrup

MARCH 29, 2023

However, to turn data into a business problem, organizations need support to move away from technical issues to start getting value as quickly as possible. SAP Datasphere simplifies data integration, cataloging, semantic modeling, warehousing, federation, and virtualization through a unified interface.

Metadata 120

Metadata Data Warehouse Data Integration Business Intelligence 120

AWS Big Data

NOVEMBER 7, 2023

Third, AWS continues adding support for more data sources including connections to software as a service (SaaS) applications, on-premises applications, and other clouds so organizations can act on their data. Business analysts use SageMaker Canvas to build ML models and generate predictions without needing to write code.

Dashboards 73

Dashboards Data-driven Data Integration Data Lake 73

CIO Business Intelligence

NOVEMBER 21, 2023

Smaller and midsize organizations can address the gaps by developing a communications program to engage businesses and stakeholders, establishing an ideation process to capture new business needs, and leveraging design thinking methodologies.

IT 135

IT Risk Cost-Benefit Risk Management 135

CIO Business Intelligence

APRIL 1, 2024

Data preparation, including anonymizing, labeling, and normalizing data across sources, is key. You’ll also institute guardrails for data governance, data quality, data integrity, and data security. Right-size your model(s). 2024 Artificial Intelligence Choose a workload location.

Data Lake 132

Data Lake Consulting Uncertainty Risk 132

FineReport

APRIL 3, 2024

Unveiling BI Dashboard Tools In today’s data-driven environment, Business Intelligence (BI) visualization tools are indispensable for driving data-informed decisions. Conversely, reports provide in-depth analysis suited for detailed examinations and data exploration. Top BI Dashboard Tools 5.1

Dashboards 52

Dashboards Visualization Metrics Interactive 52

datapine

MAY 17, 2021

Fundamentally, this is a term that describes the process through which businesses collect data from a variety of sources and apply it practically to generate real business value. Being a data-driven organization starts with understanding your data. So, what is data discovery?

Visualization 161

Visualization Data-driven Business Intelligence Metrics 161

AWS Big Data

NOVEMBER 29, 2023

This includes tools to help you customize your foundation models, and new services and features to build a strong data foundation to fuel your generative AI applications. Customizing foundation models The need for data is quite obvious if you are building your own foundation models (FMs).

Data Warehouse 109

Data Warehouse Data Lake Data Integration Dashboards 109

CIO Business Intelligence

MARCH 16, 2022

We are all familiar with the EMR (electronic medial records) adoption and maturity models designed by HIMSS (Healthcare Information and Management Systems Society). But honestly speaking, there exists no unique maturity model which measures the degree of digital transformation. CIO Middle East: Data Analytics is key in healthcare.

Technology 107

Technology Digital Transformation Business Intelligence Data Warehouse 107

FineReport

MARCH 31, 2024

In 2024, business intelligence (BI) software has undergone significant advancements, revolutionizing data management and decision-making processes. These tools empower organizations to glean valuable insights from their data, enhancing decision-making processes and bolstering competitiveness in data-driven markets.

Dashboards 52

Dashboards Visualization Data mining Data-driven 52

Cloudera

DECEMBER 1, 2023

Lastly, trustworthy data forms the foundation of any AI solution. Governments must ensure that the data used for training AI models is of high quality, accurately representing the diverse range of scenarios and demographics it seeks to address.

Data Governance 106

Data Governance Data-driven Strategy Data Architecture 106

FineReport

APRIL 9, 2024

Benefits of Healthcare Business Intelligence Tools Improved Decision-Making: Healthcare BI tools enable informed decision-making by providing real-time data analysis and predictive insights. In addition to security concerns, achieving seamless healthcare data integration and interoperability presents its own set of challenges.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

CIO Business Intelligence

OCTOBER 7, 2022

With data increasingly vital to business success, business intelligence (BI) continues to grow in importance. With a strong BI strategy and team, organizations can perform the kinds of analysis necessary to help users make data-driven business decisions. Top 9 business intelligence certifications.

Business Intelligence 145

Business Intelligence Data Warehouse Visualization Dashboards 145

FineReport

MAY 13, 2020

And, with Tableau Public, published workbooks are “disconnected” from the underlying data sources and require periodic updates when the data changes. Birt is an open-source Eclipse-based business intelligence platform for small businesses. It allows users to ask questions about data. From Google.

OLAP 105

OLAP KPI Data mining Business Intelligence 105

CIO Business Intelligence

APRIL 17, 2024

Salesforce’s reported bid to acquire enterprise data management vendor Informatica could mean consolidation for the integration platform-as-a-service (iPaaS) market and a new revenue stream for Salesforce, according to analysts.

Cost-Benefit 128

Cost-Benefit B2B Marketing Enterprise 128

CIO Business Intelligence

MARCH 24, 2023

It encompasses the people, processes, and technologies required to manage and protect data assets. The Data Management Association (DAMA) International defines it as the “planning, oversight, and control over management of data and the use of data and data-related sources.”

Data Governance 142

Data Governance Management Metadata Data Quality 142

CIO Business Intelligence

FEBRUARY 16, 2024

Developing a data-led strategy The first, and most critical step in the process is accessing, integrating, and curating the underlying data that will be used to train and power AI models. This is a challenge for many CIOs.

Strategy 134

Strategy Insurance Digital Transformation Enterprise 134

O'Reilly on Data

FEBRUARY 11, 2019

Foundational data technologies. Machine learning and AI require data—specifically, labeled data for training models. Data lineage, data catalog, and data governance solutions can increase usage of data systems by enhancing trustworthiness of data. Data Platforms.

Big Data 209

Big Data Technology Machine Learning Deep Learning 209

erwin

OCTOBER 8, 2020

Companies everywhere are building innovative business applications to support their customers, partners and employees and are increasingly migrating from legacy to cloud environments. But even with the “need for speed” to market, new applications must be modeled and documented for compliance, transparency and stakeholder literacy.

Data Governance 145

Data Governance Metadata Testing Data Lake 145

Ontotext

AUGUST 4, 2023

After all, when businesses lack domain context, and unified semantics hinder data usage within the organization, a data fabric approach can be a game-changer. Major goals of data fabric include: Create smart semantic data integration and engineering: with governed access to improve findability and comprehensibility of data.

Metadata 52

Metadata Data-driven Data Architecture Data Quality 52

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. FineRepor t.

Forecasting 52

Forecasting Dashboards Visualization Statistics 52

Jedox

JANUARY 13, 2023

Finance leaders should look for these five capabilities when selecting financial planning software that will drive business value for their enterprise. Configurable models. An integrated business planning software like Jedox supports human planning by shortening the planning cycle significantly while keeping the data clear.

Software 52

Software Finance Forecasting Data Lake 52

erwin

NOVEMBER 6, 2019

In most companies, an incredible amount of data flows from multiple sources in a variety of formats and is constantly being moved and federated across a changing system landscape. They need their data mappings to fall under governance and audit controls, with instant access to dynamic impact analysis and data lineage.

Metadata 102

Metadata Data Governance Management Cost-Benefit 102

CIO Business Intelligence

MARCH 18, 2024

But when it comes to getting the most value out of hybrid cloud, one of the most crucial capabilities required is data replication and synchronization—what enables businesses to efficiently capture data changes and unify various data stores while ensuring low latency, high availability, and data integrity.

Cost-Benefit 94

Cost-Benefit Data Lake Machine Learning Data Integration 94

Smart Data Collective

OCTOBER 5, 2020

Business intelligence is a crucial component in the chase to be on the top in this competitive corporate sphere. As a venture grows, it becomes tedious to keep track of the analytical data of the enterprise which, in turn, forms a road-block to decision making.

Interactive 91

Interactive Visualization Dashboards Business Intelligence 91