ElegantJ BI

SEPTEMBER 30, 2021

In the first article in our two-part series, entitled, ‘ Data Warehouse, Data Lake, Data Mart, Data Hub: A Definition of Terms ’, we defined the terms and differences in the market so that businesses can better understand the possibilities of Data Warehouses, Data Marts, Data Lakes and Data Hubs.

Data Management 130

Data Management Data Warehouse Government Data Governance 130

ElegantJ BI

SEPTEMBER 30, 2021

In the first article in our two-part series, entitled, ‘ Data Warehouse, Data Lake, Data Mart, Data Hub: A Definition of Terms ’, we defined the terms and differences in the market so that businesses can better understand the possibilities of Data Warehouses, Data Marts, Data Lakes and Data Hubs.

Data Management 130

Data Management Data Warehouse Government Data Governance 130

Juice Analytics

MAY 19, 2021

Create a shared document where you define: 1) how your key data/metrics are calculated; 2) where this data comes from; 3) how this data might be improved. Link to it when you present data in a dashboard, report, or data story.

Master Data Management 59

Master Data Management Documentation Data Requirement Data Management 59

Sisense

MARCH 19, 2019

A major issue facing organizations with rapidly changing data requirements is that scaling can be both costly and complex. Massive data sets often contain sensitive data, and even if they don’t, they still hold important information about their organizations.

Data Warehouse 94

Data Warehouse Business Intelligence Business Intelligence Data Requirement 94

Juice Analytics

APRIL 21, 2019

While customers can describe a billing workflow or a mobile app feature, explaining how data should be used is less clear. To ensure that data requirements are relevant and the solution is useful to customers (profitable too) consider the expression Walking a Mile in their Shoes.

Documentation 73

Documentation Data Requirement Monitoring 73

Insight Software

MAY 15, 2020

Under modern day reporting standards, companies are formally obligated to present their financial data in the following statements: balance sheet, income statement, and cash flow statement. These three statements are data rich and full of financial metrics. Net Present Value. Present Value. Earnings Per Share.

Finance 98

Finance Monitoring Banking Documentation 98

Bridging the Gap

FEBRUARY 16, 2023

A change request could be related to the business requirements, the stakeholder requirements, the functional requirements , the data requirements. Again, you can use the change request form to present all of that information to your team. Any aspect of the project. Or it could impact all of those aspects.

Documentation 98

Documentation Planning Business Analysis Business Analysis 98

Sisense

MARCH 31, 2019

Data update frequency. Data requirements. Combining tangential or parallel data points to your datasets can yield correlations that answer questions you hadn’t even thought to ask and present meaningful insights you might otherwise have missed. Complete a planning document covering: An outline.

Business Intelligence 75

Business Intelligence Business Intelligence Documentation Planning 75

Whizlabs

DECEMBER 13, 2020

The following discussion aims to present some of the most eagerly awaited DevOps trends for 2021. The transition towards DevSecOps will present considerable challenges in terms of the cultural shift involved. However, security will be a mandatory requirement in the DevOps landscape.

Monitoring 98

Monitoring Digital Transformation Product Management Product Management 98

Sisense

FEBRUARY 10, 2021

This process necessitated us getting a handle on the data we were already collecting, making sense of the constant stream of new information our clients were pulling in, and presenting it all in an easy-to-understand interface. Whatever your industry and your company, you’ve got some data you can use to drive revenue.

Skillset 52

Skillset Data Requirement Data Quality Documentation 52

Data Pine

OCTOBER 30, 2019

Data report is an evaluation tool used to assess past, present, and future business information while keeping track of the overall performance of a company. It combines various business data, and usually used both on an operational or strategic level of decision-making. Data Reporting Basics. Let’s get started.

Visualization 51

Visualization Retail Data Visualization Government 51

Data Pine

MAY 2, 2023

To work effectively, big data requires a large amount of high-quality information sources. Where is all of that data going to come from? The future is bright for logistics companies that are willing to take advantage of big data. Some items must be signed for, and if a customer isn’t home, the item can’t be delivered.

Supply Chain 110

Supply Chain Logistics Big Data Customer Experience 110

Whizlabs

APRIL 21, 2021

As the IT world is flourishing, Amazon Glacier is the cold ideal storage platform by AWS for taking care of the crucial inactive data that plays a vital role in helping the businesses thrive. Different types of data require different storage requirements. The tape libraries still exist in this present world.

Healthcare 97

Healthcare Government Digital Finance 97

Sisense

OCTOBER 6, 2020

Consequently, using quantitative data, you can make strategic and tactical decisions that will benefit your organization and drive growth. What are the problems with quantitative data? Despite its many uses, quantitative data presents two main challenges for a data-driven organization.

Visualization 98

Visualization Data Warehouse Innovation Predictive Analytics 98

Sisense

AUGUST 11, 2019

So, BI deals with historical data leading right up to the present, and what you do with that information is up to you. Not only that, a good BI platform describes this to you in real-time in as much granular, forensic detail you need. Are you more interested in understanding how you got here or getting an idea of where you’ll go next?

Business Intelligence 75

Business Intelligence Business Intelligence Data Mining Predictive Analytics 75

TIBCO

FEBRUARY 22, 2019

White House for her contributions to education, illustrates the importance of clearly displaying your data with a couple of examples: John Snow’s (not the Game of Thrones character, but an English physician) work on the great cholera outbreak of 1854, and the Challenger space shuttle. Rankin found her inspiration in a pharmacy aisle.

Data Visualization 40

Data Visualization Documentation Visualization Data Requirement 40

Roman Pichler

JUNE 7, 2021

I find it useful to have UX design, architecture, programming, and testing skills present to make the right decision. Is it you, the people present, or possibly the management sponsor? Use Data to Make Decisions. Use data instead to make the decision. Use a Dedicated Facilitator.

Finance 62

Finance Data Requirement Planning 62

Domo

MARCH 24, 2020

The start of a new decade presents a fresh incentive for CMOs to reform and innovate their marketing processes. The volume of data required to make these decisions adds increasing levels of complexity. ” In marketing especially, the pace of change has become unrelenting.

Digital 52

Digital Government Vision Customer Experience 52

Insight Software

JANUARY 17, 2022

These common self-service capabilities may affect your business intelligence requirements: User personas: Increase the adoption of analytics by providing a broad range of users with a tailored experience that matches their needs and skills. Interactivity and automation: Do users need to be able to interact with your dashboards?

Business Intelligence 52

Business Intelligence Business Intelligence User Experience Embedded Analytics 52

Insight Software

MARCH 8, 2021

Let’s say that a user wants to specify a cutoff value within their Excel formula, so that the information presented in Excel only shows customers with balances greater than the amount specified by the user at the time they run the report. Updating the data requires that you perform part or all of the copy/paste processes again.

Finance 98

Finance Data Requirement 98

Netmind

MARCH 9, 2021

Knowledge arises when we stop thinking about the past and present and look to the future. In conclusion, developing the ability to adapt to change through data requires working on these three key characteristics: What decisions do we need to make? How do we ensure good data governance?

Data Governance 52

Data Governance Government Data Requirement Vision 52

Netmind

NOVEMBER 1, 2020

Knowledge arises when we stop thinking about the past and present and look to the future. In conclusion, developing the ability to adapt to change through data requires working on these three key characteristics: What decisions do we need to make? How do we ensure good data governance?

Data Governance 52

Data Governance Government Data Requirement Vision 52

Tableau

JUNE 8, 2021

Applying a DEI lens to how we analyze, visualize, and communicate data requires empathizing with both the communities whose data we are visualizing as well as the readers and target audiences for our work. Jonathan became interested in data viz in 2012 while working as an economist at the Congressional Budget Office.

Visualization 52

Visualization Data Visualization Government Documentation 52

Bridging the Gap

JUNE 8, 2023

If you are interested in enhancing your data modeling skills, download our free data modeling training! If you are interested in enhancing your data modeling skills, we have a great resource for you. A rollout of a business intelligence system often is both your migrating or integrating data into that system.

Business Intelligence 52

Business Intelligence Business Intelligence Data Modelling Business Analysis 52

The BAWorld

SEPTEMBER 18, 2024

Properly executed, data integration cuts IT costs and frees up resources, improves data quality, and ignites innovation—all without systems or data architectures needing massive rework. How does data integration work? There exist various forms of data integration, each presenting its distinct advantages and disadvantages.

Data Warehouse 52

Data Warehouse Finance Data Architecture Banking 52

Marutitech

DECEMBER 17, 2021

Unlike the classification and forecast model, which works on the historical data, the outliers model of predictive analytics considers the anomalous data entries from the given dataset for predicting future outcomes. . The model can analyze the unusual data either by itself or by combining it with other categories and numbers present.

Predictive Analytics 140

Predictive Analytics Data Mining Finance Data Analytics 140

Astera

JULY 20, 2023

The digital era has ushered in a massive heap of data, presenting businesses with the opportunity to exchange information with their partners and stakeholders more effectively. According to an IDC study , the volume of digital data generated worldwide is projected to reach a staggering 175 zettabytes by 2025.

Supply Chain 52

Supply Chain Documentation Digital Data Requirement 52

Astera

SEPTEMBER 4, 2024

Choose and Implement The Right Data Strategy with Astera Leverage our data expertise to figure out the best data architecture for your organization. Discuss your data strategy with us. What Is Data Mesh? Data mesh was first presented as a concept by Zhamak Dehghani in 2019. What is Data Fabric?

Data Architecture 52

Data Architecture Data Governance Government Data Discovery 52

MindsMapped

JULY 9, 2020

Finally, experienced project managers know how essential final reports and proper documentation are. Does the Individual have the Relevant Skillsets to take on a Hybrid Role?

Project Management 78

Project Management Skillset Requirements Life Cycle Management Business Analysis 78

The BAWorld

DECEMBER 6, 2023

Consider pursuing certifications to validate your understanding of key data analysis tools and methodologies, enhancing your credibility among potential employers. Step 2: Obtaining essential skills Data analysts play a crucial role in extracting meaningful insights from data, requiring a blend of technical and analytical skills.

Data Analytics 52

Data Analytics Data Analytics Artificial Intelligence Visualization 52

Cprime

NOVEMBER 28, 2023

During the test migration, it became evident that Zephyr presented a formidable challenge, requiring several days to complete. While the standard Jira Cloud Migration Assistant (JCMA) can typically manage the majority of required data and apps for most customers, some of PowerPlan’s critical data could not be migrated with the tool.

User Experience 52

User Experience Government Data Security Customer Experience 52

Astera

AUGUST 15, 2023

Data Format Standardization: EDI relies on standardized data formats and protocols for seamless data exchange between different parties. Ensuring uniformity in data formats and protocols can be challenging when dealing with multiple stakeholders who may have varying systems and data requirements.

Finance 52

Finance Data Security Customer Experience Customer Experience 52

Insight Software

NOVEMBER 17, 2020

Pre-defined SAP reports are inflexible when working with hierarchies, and they require help from IT for any changes. Data required for management reports are often pulled from many different SAP modules to create a consolidated analysis. Some of the most common tools such as SAP Analysis for Microsoft Office are inflexible.

Finance 52

Finance Business Process Management Data Requirement 52

Astera

AUGUST 16, 2024

Lack of Planning Lack of planning around data migration can cost organizations time, resources, and, most importantly, competitive advantage. This can lead to the organization losing a lot of valuable data after migration. Without a proper data migration plan in place, organizations can lose track of the data points they’re using.

Digital Transformation 52

Digital Transformation Planning Government Cloud Computing 52

Astera

MAY 25, 2023

Scalability : MySQL is known for its scalability and can handle large amounts of data efficiently. SQL Server also offers scalability, but it is better suited for larger enterprises with more complex data requirements. Similarities Between MySQL and SQL Server At a high-level, MySQL and SQL Server are quite similar.

Data Warehouse 52

Data Warehouse Data Requirement Finance Data Security 52

Astera

MAY 31, 2024

Two key disciplines have emerged at the forefront of this approach: data science vs data analytics. While both fields help you extract insights from data, data analytics focuses more on analyzing historical data to guide decisions in the present. It allows you to retrieve and manipulate data efficiently.

Data Analytics 52

Data Analytics Data Analytics Data Warehouse Healthcare 52

Marutitech

OCTOBER 8, 2021

This kind of representation helps to improve the performance of classifiers by making it possible for words with similar meanings to have similar presentations. . Since tagging data requires consistency for accurate results, a good definition of the problem is a must. Classification Algorithms .

Monitoring 98

Monitoring Documentation Logistics Customer Experience 98