Dataversity

MAY 31, 2024

In the contemporary business environment, the integration of data modeling and business structure is not only advantageous but crucial. This dynamic pair of documents serves as the foundation for strategic decision-making, providing organizations with a distinct pathway toward success.

Business Architecture 130

Business Architecture Data Modelling Documentation Data Architecture 130

Dataversity

OCTOBER 4, 2021

And we have short delivery cycles, sprints, and a lot of peers to share data models with. The post Quick, Easy, and Flexible Data Model Diagrams appeared first on DATAVERSITY. Many of us have a lot to do. In search of something lightweight, which is quick and easy, and may be produced (or consumed) by other programs?

Data Modelling 130

Data Modelling Data Architecture 130

Dataversity

MAY 16, 2022

As more and more companies start to use data-related applications to manage their huge assets of data, the concepts of data modeling and analytics are becoming increasingly important. Companies use data analysis to clean, transform, and model their sets of data, whereas they […].

Data Modelling 130

Data Modelling 130

Dataversity

FEBRUARY 14, 2024

This requires a strategic approach, in which CxOs should define business objectives, prioritize data quality, leverage technology, build a data-driven culture, collaborate with […] The post Facing a Big Data Blank Canvas: How CxOs Can Avoid Getting Lost in Data Modeling Concepts appeared first on DATAVERSITY.

Big Data 147

Big Data Data Modelling Data Quality 147

Dataversity

FEBRUARY 4, 2022

But decisions made without proper data foundations, such as well-constructed and updated data models, can lead to potentially disastrous results. For example, the Imperial College London epidemiology data model was used by the U.K. Government in 2020 […].

Data Modelling 130

Data Modelling Government Data Quality Data Governance 130

Dataversity

JULY 26, 2021

aka Data Modeling What?) Sometimes the obvious is not that … obvious. Many people know that I am on the graph-y side of the house. But explaining a simple matter like […]. The post What’s in a Name? appeared first on DATAVERSITY.

Data Modelling 130

Data Modelling 130

Smart Data Collective

MAY 16, 2022

Data management software helps in reducing the cost of maintaining the data by helping in the management and maintenance of the data stored in the database. It also helps in providing visibility to data and thus enables the users to make informed decisions. They are a part of the data management system.

Data Management 333

Data Management Data Mining Data Warehouse Data Modelling 333

Smart Data Collective

AUGUST 9, 2022

NoSQL databases became possible fairly recently, in the late 2000s, all thanks to the decrease in the price of data storage. Just like that, the need for complex and difficult-to-manage data models has dissipated to give way to better developer productivity. Databases of this type store data in edges and nodes.

Documentation 294

Documentation Big Data Data Modelling Data Management 294

Smart Data Collective

DECEMBER 19, 2021

Elaborately, the steps and methods to organize and reshape the data to execute it suitably for use or mining, the entire process, in short, known as Data Preprocessing. With technological advancement, information has become one of the most valuable elements in this modern era of science.

Data Mining 347

Data Mining Banking Data Modelling Artificial Intelligence 347

Smart Data Collective

MARCH 14, 2022

As well as pulling in data in real time, the latest route planning tools can use historic data to determine the best way to orchestrate individual drivers as well as entire teams, taking into account road conditions, congestion and more besides. Market Research for Customer Engagement. Final Thoughts.

Big Data 321

Big Data Logistics Monitoring Planning 321

Sisense

MAY 11, 2021

You can’t talk about data analytics without talking about data modeling. The reasons for this are simple: Before you can start analyzing data, huge datasets like data lakes must be modeled or transformed to be usable. Building the right data model is an important part of your data strategy.

Data Modelling 84

Data Modelling Big Data Data Analytics Data Analytics 84

Smart Data Collective

JANUARY 26, 2021

Big Data Analytics News has hailed big data as the future of the translation industry. You might use predictive analysis-based data that can help you analyse buying trends or look at how the business might perform in a range of new markets. That’s the data source part of the big data architecture.

Data Architecture 317

Data Architecture Big Data Documentation Monitoring 317

Simplilearn

JUNE 15, 2021

It can be a study about disease cures, a company’s revenue strategy, efficient building construction, or those targeted ads on your social media page; it is all due to data. This data refers to information that is machine-readable as opposed to human-readable. For example, customer data is meani. Read More.

Data Modelling 130

Data Modelling 130

Modern Analyst

JANUARY 9, 2022

Many BAs struggle to produce ‘normalized’, function-independent data models (or don’t produce them at all). Very few business stakeholders can appreciate such models as “… a picture worth a thousand words.”

Data Modelling 86

Data Modelling 86

Insight Software

DECEMBER 21, 2020

COVID-19 brought a new urgency to financial reporting, with businesses needing to have an accurate view of their cash flow in order to inform future planning. Superpower Data Model. The post Inform Your 2021 By Looking At the Most Popular Finance Content of 2020 appeared first on insightsoftware. Sort Filter and Unique.

Finance 105

Finance Data Modelling Planning Visualization 105

Timo Elliott

JANUARY 6, 2022

The point of finding your dark data is to generate insight from it. To this end, SAP offers a wide range of tools that support the following capabilities: Data orchestration. Information landscapes are complex. Storing data isn’t enough. Data analysis and exploration. Data is useless unless it can yield insights.

Chief Data Officer 338

Chief Data Officer Embedded Analytics Data Governance Data Warehouse 338

Smart Data Collective

NOVEMBER 18, 2020

Definition: Data Mining vs Data Science. Data mining is an automated data search based on the analysis of huge amounts of information. Complex mathematical algorithms are used to segment data and estimate the likelihood of subsequent events. Data Mining Techniques and Data Visualization.

Data Mining 360

Data Mining Big Data Artificial Intelligence Data Warehouse 360

Smart Data Collective

MARCH 29, 2022

So, whether you’ve been using Excel, SQL, CRMs, or other platforms to keep track of your data, this new technology will make accessing and configuring your data simpler. But alone, the numerical values may not offer much information. What are Fact Tables vs Dimension Tables? That’s great, you may say.

Data Modelling 222

Data Modelling Data Analytics Data Analytics Digital 222

Smart Data Collective

JUNE 16, 2022

Data is fed into an Analytical server (or OLAP cube), which calculates information ahead of time for later analysis. A data warehouse extracts data from a variety of sources and formats, including text files, excel sheets, multimedia files, and so on. Types: HOLAP stands for Hybrid Online Analytical Processing.

Data Warehouse 338

Data Warehouse Data Modelling Monitoring Business Intelligence 338

Smart Data Collective

SEPTEMBER 16, 2020

Once you’ve found the right data segments and you’re ready to develop a predictive analysis based on these large data sets, you need to determine exactly how useful your data is. Objectives and Usage.

Predictive Analytics 319

Predictive Analytics Pharmaceutical Artificial Intelligence Data Mining 319

Smart Data Collective

APRIL 14, 2021

Business intelligence is simply a tool, computer software, and practice used to collect, integrate, analyze, and present raw business data that can be used to create actionable and informative business data. Formerly known as Periscope, Sisense is a business intelligence tool ideal for cloud data teams. Boost revenue.

Business Intelligence 342

Business Intelligence Business Intelligence Big Data Visualization 342

Smart Data Collective

OCTOBER 20, 2021

The data integration landscape is under a constant metamorphosis. In the current disruptive times, businesses depend heavily on information in real-time and data analysis techniques to make better business decisions, raising the bar for data integration. Legacy solutions lack precision and speed while handling big data.

Artificial Intelligence 325

Artificial Intelligence Big Data Data Modelling Data Management 325

Smart Data Collective

NOVEMBER 24, 2021

It’s been almost two years since the COVID-19 pandemic started, and now we have enough information to assume that most enterprises weren’t prepared for the crisis. Although teams had vast amounts of data and powerful analytic tools at their fingertips, the pandemic still caught most organizations off guard.

Data Analytics 332

Data Analytics Data Analytics Real-time Data Business Intelligence 332

Smart Data Collective

AUGUST 31, 2020

Big data is changing the tide with stock futures trading. They build complex machine learning models that rely on numerous pieces of information. Some of the data that is incorporated into these algorithms is listed below. Identifying possible sources of lesser known information.

Big Data 233

Big Data Predictive Analytics Data Modelling 233

Smart Data Collective

NOVEMBER 24, 2020

The current BI trends show that in the future, the BI software will be more accessible, so that even non-techie workers will rely on data insights in their working routine. Using the information in making business predictions is not a new trend. It will be used to simplify access to information and boost operations. SAP Lumira.

Business Intelligence 336

Business Intelligence Business Intelligence Supply Chain Visualization 336

Smart Data Collective

JULY 9, 2023

By understanding the power of ETL, organisations can harness the potential of their data and gain valuable insights that drive informed choices. ETL is a three-step process that involves extracting data from various sources, transforming it into a consistent format, and loading it into a target database or data warehouse.

Data Warehouse 235

Data Warehouse Data Quality Data Analytics Data Analytics 235

Smart Data Collective

OCTOBER 19, 2022

What Are Their Ranges of Data Models? MongoDB has a wider range of datatypes than DynamoDB, even though both databases can store binary data. For these reasons, your data integrity in MongoDB is more strongly consistent than in DynamoDB. It is compatible with a laptop to mainframe and on-premise through a hybrid cloud.

Big Data 302

Big Data Data Management Documentation Data Modelling 302

Smart Data Collective

APRIL 20, 2023

Big data models make it easier to find the right location and make other important decisions. Having information on how shoppers or occupants are moving with the building will also help you make agreements with suppliers that want to benefit from product placement.

Big Data 344

Big Data Real-time Data Data Modelling Planning 344

Smart Data Collective

MAY 29, 2023

The rate of growth at which world economies are growing and developing thanks to new technologies in information data and analysis means that companies are needing to prepare accordingly. As a result of the benefits of business analytics , the demand for Data analysts is growing quickly.

Big Data 213

Big Data Healthcare Data Modelling Data Analytics 213

Smart Data Collective

OCTOBER 5, 2020

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. Employing an analytical system in a data-driven business can help it to discover useful trends, information, conclusions and elevated decision making.

Visualization 233

Visualization Business Intelligence Business Intelligence Data Modelling 233

Timo Elliott

DECEMBER 14, 2022

Gartner calls it the Composable Enterprise , for example – it’s about having a solid information foundation that enables fast and flexible creation of what they call composable applications that allow you to create new applications and workflows by just bringing together modular components. Business Content.

Innovation 264

Innovation Artificial Intelligence Data Warehouse Government 264

The BAWorld

SEPTEMBER 27, 2024

And therefore, to figure all this out, data analysts typically use a process known as data modeling. It forms the crucial foundation for turning raw data into actionable insights. Data modeling designs optimal data structures and relationships for storage, access, integrity, and analytics.

Data Modelling 40

Data Modelling IBM Maintenance IBM Support IBM cost 40

Smart Data Collective

APRIL 4, 2022

However, many companies are struggling to figure out how to use data visualization effectively. One of the ways to accomplish this is with presentation templates that can use data modeling. Taking Advantage of Data Visualization with Presentation Templates. Keep reading to learn more.

Data Visualization 299

Data Visualization Visualization Data Modelling Big Data 299

Astera

MARCH 20, 2023

As data warehousing technologies continue to grow in demand , creat ing effective data models has become increasingly important. However, creating an OLTP data model presents various challenges. Well, there’s a hard way of designing and maintaining data models and then there is the Astera’s way.

Data Modelling 52

Data Modelling Data Warehouse Visualization Business Intelligence 52

Astera

MARCH 20, 2023

As data warehousing technologies continue to grow in demand , creat ing effective data models has become increasingly important. However, creating an OLTP data model presents various challenges. Well, there’s a hard way of designing and maintaining data models and then there is the Astera’s way.

Data Modelling 52

Data Modelling Data Warehouse Visualization Business Intelligence 52

Analysts Corner

FEBRUARY 12, 2023

AI : The BABOK Guide defines various tasks and concepts related to business analysis, including requirements elicitation and analysis, process and data modeling, and stakeholder communication and management. This could help save time and effort in process and data modeling. Some suggestions include: 1. Main flow: 1.

Business Analysis 147

Business Analysis Business Analysis UML Artificial Intelligence 147

Dataversity

JANUARY 13, 2021

In marketing, artificial intelligence (AI) is the process of using data models, mathematics, and algorithms to generate insights that marketers can use. Click here to learn more about Gilad David Maayan. What Is Artificial Intelligence Marketing?

Artificial Intelligence 173

Artificial Intelligence Data Modelling Big Data Digital 173