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

JUNE 16, 2022

A data warehouse extracts data from a variety of sources and formats, including text files, excel sheets, multimedia files, and so on. The consolidated totals are saved in a data model in the HOLAP technique, while the particular data is maintained in a relational database. The Benefits of OLAP.

Data Warehouse 348

Data Warehouse Data Modelling Monitoring Business Intelligence 348

Smart Data Collective

NOVEMBER 24, 2021

Although teams had vast amounts of data and powerful analytic tools at their fingertips, the pandemic still caught most organizations off guard. As a result, most enterprise executives had to cut their plans and initiatives. Before the pandemic, enterprise managers lived in the illusion that all future events could be predicted.

Data Analytics 336

Data Analytics Data Analytics Real-time Data Business Intelligence 336

The Data Administration Newsletter

NOVEMBER 1, 2022

Many software developers distrust data architecture practices such as data modeling. They associate these practices with rigid and bureaucratic processes causing significant upfront planning and delays.

Data Modelling 64

Data Modelling Data Architecture Planning Data Management 64

Smart Data Collective

APRIL 20, 2023

Big data models make it easier to find the right location and make other important decisions. The business is going to require a site for employees, customers, and suppliers. Needing the right location can mean that you are currently operating from a building that hasn’t been designed keeping modern energy efficiency in mind.

Big Data 363

Big Data Real-time Data Data Modelling Planning 363

Smart Data Collective

NOVEMBER 24, 2019

In the TEM model, you will have complete control over the team members and bringing any sudden change to your existing project will not be an issue. On the contrary, the DDT model works more like an independent entity and they focus on the overall project scope. So, which big data model is the best?

Big Data 254

Big Data Predictive Analytics Data Modelling Planning 254

Smart Data Collective

SEPTEMBER 4, 2020

Not only this, but they can reduce your costs by ensuring that you can harness your data by yourself, without the need to employ a data analyst. The best data analysis software can help you to collect and organize your data, to construct potential data models, and can also help you to write up reports.

Big Data 265

Big Data Data Analytics Data Analytics Data Modelling 265

Ntara

AUGUST 2, 2022

A product data model helps streamline a new or updated ecommerce website so that every product has exactly the right information in exactly the right place. PIM is a software that allows businesses to standardize all product data and related digital assets. A product data model analogy.

Data Modelling 52

Data Modelling Documentation Digital Planning 52

Smart Data Collective

MARCH 30, 2021

According to Mckinsey Global Institute , data-driven organizations are not only 23 times more likely to acquire customers but also six times as likely to retain customers and 19 times more likely to be profitable! . Big data leaves no space for the “box-ticking” approach. Competitor activity analysis.

Big Data 281

Big Data Retail Planning Data Modelling 281

Dataversity

MARCH 22, 2021

We recently read reports about plans for Talend to be acquired by Thoma Bravo, a private equity investment firm. This announcement is interesting and causes some of us in the tech industry to step back and consider many of the factors involved in providing data technology […]. Click here to learn more about Heine Krog Iversen.

Planning 246

Planning Data Warehouse Data Modelling Data Quality 246

ElegantJ BI

AUGUST 5, 2020

A Citizen Data Scientist will use his or her domain knowledge and primary skills and experience to gain insight into the data and hypothesize, prototype, analyze and forecast using data to improve accuracy of decisions and to share data and data models with other users.

Data Modelling 130

Data Modelling Data Analytics Data Analytics Monitoring 130

ElegantJ BI

AUGUST 5, 2020

A Citizen Data Scientist will use his or her domain knowledge and primary skills and experience to gain insight into the data and hypothesize, prototype, analyze and forecast using data to improve accuracy of decisions and to share data and data models with other users.

Data Modelling 130

Data Modelling Data Analytics Data Analytics Monitoring 130

ElegantJ BI

AUGUST 5, 2020

A Citizen Data Scientist will use his or her domain knowledge and primary skills and experience to gain insight into the data and hypothesize, prototype, analyze and forecast using data to improve accuracy of decisions and to share data and data models with other users.

Data Modelling 130

Data Modelling Data Analytics Data Analytics Monitoring 130

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. ID (primary key).

Business Analysis 147

Business Analysis Business Analysis UML Artificial Intelligence 147

Timo Elliott

NOVEMBER 30, 2022

Using these solutions together helps provide better, more useable data to the business while minimizing complexity and wasteful duplication of data. And the number one way that organizations turn analytics into action today is through planning processes. Conclusion.

Innovation 246

Innovation Vision Data Warehouse Logistics 246

Astera

FEBRUARY 1, 2024

Data modeling is the process of structuring and organizing data so that it’s readable by machines and actionable for organizations. In this article, we’ll explore the concept of data modeling, including its importance, types , and best practices. What is a Data Model?

Data Modelling 40

Data Modelling Retail Documentation Visualization 40

BizAcuity

APRIL 1, 2023

The Data Warehouse can scale up to 2048 nodes, thus offering data storage ability up to 94 petabytes. One of the Teradata data warehouse’s features is its hybrid storage, where frequently used hot data is stored on very high-performance solid state drives while less frequently used cold data is placed on traditional hard disk drives.

Data Warehouse 130

Data Warehouse Monitoring Planning Data Modelling 130

BizAcuity

SEPTEMBER 22, 2022

The Data Warehouse can scale up to 2048 nodes, thus offering data storage ability up to 94 petabytes. The Data Model is designed to be fault-tolerant and be scalable with redundant network connectivity to ensure reliability for critical use case. Data disk space allocation. Determination of usable data space.

Data Warehouse 130

Data Warehouse Monitoring Planning Data Modelling 130

The BAWorld

SEPTEMBER 25, 2024

Business Analysis Plan A plan listing all the business analysis activities, to be carried out in the project. Generally, it is part of the project plan. Stakeholder Management Plan Business analysts create this document to document the strategy to handle stakeholders based on the stakeholder maps.

Documentation 98

Documentation Stakeholder Management Agile Business Analysis 98

The BAWorld

JANUARY 8, 2025

Suitable for professionals interested in working with larger-scale data ecosystems and optimizing data flows for analytics. Detailed Syllabus and Cost PL-300 Certification Learning Path: Data Preparation: Importing, cleaning, and transforming data. Data Modeling: Building relationships, creating measures with DAX.

Business Intelligence 52

Business Intelligence Business Intelligence Data Visualization Data Analytics 52

The BAWorld

FEBRUARY 18, 2025

Works with datasets to discover trends and insights, maintaining data accuracy. Power BI Data Engineer: Manages data pipelines, integrates data sources, and makes data available for analysis. Creates data models, streamlines ETL processes, and enhances Power BI performance.

Data Modelling 40

Data Modelling Data Warehouse Data Security Government 40

Watermark Learning

MARCH 29, 2023

How to prepare for a Business Analysis exam – Application Tips Create a Study Plan with the BABOK Guide Resources to create your Study Plan What to expect from each IIBA Business Analysis (BA) certification exam Summary What is the professional organization for Business Analysts seeking certification?

Planning 52

Planning Business Analysis Business Analysis Visualization 52

Insight Software

FEBRUARY 8, 2021

If your business is running Microsoft Dynamics 365 Business Central (D365 BC) , or if you are planning to do so in the near future, then you are probably hearing a lot about Power BI as Microsoft’s preferred reporting and analytics platform for the company’s business applications.

Data Modelling 98

Data Modelling Planning Visualization 98

Sisense

APRIL 21, 2019

With a comprehensive, BI-focused data strategy, you and your stakeholders will know what your ideal data model should look like once all your data is moved over. BI-Focus and Your Data Infrastructure. What does all this have to do with my data model ?” you might be wondering. you might be wondering.

Data Modelling 72

Data Modelling Logistics Planning 72

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. Keeping your Excel skills honed allows you to focus on what’s really important—results and planning. Superpower Data Model. Troubleshooting VLOOKUP. Charting.

Finance 105

Finance Data Modelling Planning Visualization 105

The BAWorld

NOVEMBER 20, 2024

Human Resources – HR team uses Power BI to perform analysis of employee data and track hiring trends regarding people engagement, as well as turnover rates. Using Power BI also helps in workforce planning and performance management in these organizations. Entry-Level (0–2 Years): Salary Range: ₹3.5 Lakhs to ₹5.5 Lakhs per annum.

Supply Chain 52

Supply Chain Pharmaceutical Healthcare Real-time Data 52

ElegantJ BI

SEPTEMBER 15, 2017

Requirements Planning for Data Analytics Many organizations are so anxious to get into analytics that they fail to consider the depth and breadth of their needs. This planning process is key to the successful selection, implementation, deployment and management of an advanced analytical solution.

Data Governance 130

Data Governance Data Discovery Government Data Analytics 130

ElegantJ BI

SEPTEMBER 15, 2017

Requirements Planning for Data Analytics Many organizations are so anxious to get into analytics that they fail to consider the depth and breadth of their needs. This planning process is key to the successful selection, implementation, deployment and management of an advanced analytical solution.

Data Governance 130

Data Governance Data Discovery Government Data Analytics 130

ElegantJ BI

SEPTEMBER 15, 2017

Requirements Planning for Data Analytics. One of the crucial success factors for advanced analytics is to ensure that your data is clean and clear and that your users have a good understanding of the source of the data so that they can put results in perspective. Don’t become a failure statistic!

Data Governance 130

Data Governance Data Discovery Government Data Analytics 130

Sisense

AUGUST 21, 2020

Planning for every feature starts with questions about how the user will be able to play around with and modify the input to see how it affects the result. How exactly is all that data going to talk to each other and come together to provide the end-to-end analysis? Trend 5: Augmented data management. Trend 6: Cloud is a given.

Data Modelling 112

Data Modelling Supply Chain Decision Modelling Visualization 112

Sisense

JUNE 26, 2019

This goes way back to the 1990s when the big companies realized that they had way too many places where their data was sitting, so they started to introduce enterprise resource planning or ERP systems that centralized all their data sources. Then, you can put your live data model next to your cached data model, side by side.

Data Warehouse 75

Data Warehouse Data Modelling Big Data Monitoring 75

Sisense

OCTOBER 27, 2020

This can be useful in describing your past recruiting and retention efforts or measuring their efficacy, but it stops just short of helping you plan your future actions. Your BI platform will pull data from your disparate sources and apps to help you get a better idea of what moves to make next. Planning people analytics.

Digital Transformation 74

Digital Transformation Data Modelling Planning Digital 74

The Data Administration Newsletter

AUGUST 17, 2021

If you are planning on using predictive algorithms, such as machine learning or data mining, in your business, then you should be aware that the amount of data collected can grow exponentially over time.

Data Mining 115

Data Mining Big Data Planning Data Modelling 115

Insight Software

JUNE 27, 2024

Unfortunately, ESG reporting is complex, requiring data from multiple sources, such as enterprise resource planning, sustainability systems, customer relationship management, and human resource management. Its pre-configured, expandable data model streamlines compliance while supporting various reporting frameworks.

Data Management 64

Data Management Human Resource Management Data Modelling Government 64

Tableau

APRIL 20, 2022

Your calendar will fill up quickly, so we recommend planning ahead to make the most of your conference experience, whether you’re attending in person in Vegas or virtually from anywhere. . Session: From Data to Dashboard: Key Features for Analytical Success. Christine Zuniga. April 20, 2022 - 5:52pm. April 21, 2022.

Chief Data Officer 123

Chief Data Officer Embedded Analytics Predictive Analytics Product Management 123

Bridging the Gap

SEPTEMBER 7, 2023

Business Analysis Plan Once you have the scope, the next type of requirements documentation is the business analysis plan. The business analysis plan will often be driven by the organization’s business analysis or software development methodology. Again, that might be formal or it might be really informal.

Documentation 98

Documentation Business Analysis Business Analysis Data Requirement 98

Tableau

OCTOBER 8, 2021

We are excited for the next phase of the Tableau and Google Cloud partnership, including plans for deeper integration between Tableau and Looker. Leveraging Looker’s semantic layer will provide Tableau customers with trusted, governed data at every stage of their analytics journey.

Government 138

Government Digital Transformation Retail Healthcare 138