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.

Data Analytics 52

Data Analytics Data Analytics Data Warehouse Healthcare 52

Astera

MAY 30, 2024

Statistical Analysis : Using statistics to interpret data and identify trends. Predictive Analytics : Employing models to forecast future trends based on historical data. Data Visualization : Presenting data visually to make the analysis understandable to stakeholders.

Data Analytics 52

Data Analytics Data Analytics Data Mining Supply Chain 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.

Business Analysis 147

Business Analysis Business Analysis UML Artificial Intelligence 147

ElegantJ BI

JANUARY 3, 2019

These business users have adopted business intelligence and advanced analytical tools to gather and analyze data from varied data sources and use that analysis to identify the root cause of problems, identify opportunities, solve problems and share crucial data to support business decisions.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Data Modelling 130

ElegantJ BI

JANUARY 3, 2019

These business users have adopted business intelligence and advanced analytical tools to gather and analyze data from varied data sources and use that analysis to identify the root cause of problems, identify opportunities, solve problems and share crucial data to support business decisions.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Data Modelling 130

ElegantJ BI

JANUARY 3, 2019

These business users have adopted business intelligence and advanced analytical tools to gather and analyze data from varied data sources and use that analysis to identify the root cause of problems, identify opportunities, solve problems and share crucial data to support business decisions.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Data Modelling 130

Astera

APRIL 24, 2024

This blog reviews the top 7 data aggregation tools, exploring how each solution ensures that every byte of an organization’s data is harnessed for strategic insights. What are Data Aggregation Tools? At its core, Astera boasts a potent ETL engine that automates data integration.

IBM Support 52

IBM Support IBM Maintenance IBM cost E-Commerce 52

Astera

FEBRUARY 14, 2024

Data vault is an emerging technology that enables transparent, agile, and flexible data architectures, making data-driven organizations always ready for evolving business needs. What is a Data Vault?  A data vault is a data modeling technique that enables you to build data warehouses for enterprise-scale analytics.

Data Warehouse 52

Data Warehouse Data Modelling Agile Data Quality 52

Astera

JANUARY 25, 2024

Guide to the Workflow of Reverse ETL There are four main aspects to reverse ETL: Data Source: It refers to the origin of data, like a website or a mobile app. Data Models: These define the specific sets of data that need to be moved. On-going Monitoring The final step is to keep an eye on the process.

E-Commerce 52

E-Commerce Data Warehouse Retail Customer Experience 52

Astera

AUGUST 22, 2023

Reusable Artifacts: Astera’s data preparation scripts are reusable across various artifacts (dataflow, workflow, analytics workbench), promoting efficient and consistent data processing throughout multiple workflows. It offers an instant preview and feedback on data quality, helping you ensure the accuracy and integrity of your data.

Innovation 52

Innovation Documentation Data Analytics Data Analytics 52

Marutitech

MARCH 10, 2022

It’s a good idea to regularly examine and monitor your product and test it with the new data set to ensure it hasn’t lost its importance. Even though implementing predictive analytics solutions enables managers to make informed decisions, there is no perfect predictive model. False-positive and false-negatives.

Predictive Analytics 130

Predictive Analytics IBM Maintenance E-Commerce IBM Support 130

Astera

MAY 13, 2024

Consolidating, summarized data from wide-ranging sources ensures you aren’t considering just one perspective in your analysis. Performance Monitoring Data aggregation facilitates you in monitoring key performance indicators (KPIs) more effectively.

Supply Chain 52

Supply Chain E-Commerce Healthcare Data Quality 52

The BAWorld

NOVEMBER 5, 2023

MuSoft's Business analyst has conducted the elicitation and has modelled the processes and has created data model for the change. A section of the data model is shown here. MuSoft's Business analyst has conducted the elicitation and has modelled the processes and has created data model for the change.

Banking 52

Banking Documentation Business Analysis Business Analysis 52

Sisense

MAY 27, 2019

This is usually done when the data scientist hands their findings and insights to a business analyst. To extend our analogy, if the data scientist is the diamond cutter, then they pass the material on to the last expert in the chain – the jeweler (business analyst) – to create something valuable for a non-expert audience.

Skillset 75

Skillset Cloud Computing Big Data Visualization 75

Data Pine

SEPTEMBER 29, 2022

As quality issues are often highlighted with the use of dashboard software , the change manager plays an important role in the visualization of data quality. Business/Data Analyst: The business analyst is all about the “meat and potatoes” of the business. 2 – Data profiling. Data Quality Management Best Practices.

Data Quality 96

Data Quality Monitoring Big Data Government 96

MindsMapped

SEPTEMBER 10, 2020

Knowledge Areas Percentage Weight (%) Business Analysis Planning and Monitoring 14% Elicitation and Collaboration 12% Requirements Life Cycle Management 15% Strategy Analysis 15% Requirements Analysis and Design Definition 30% Solution Evaluation 14% IIBA CBAP® Exam Blueprint. Redraw any visual diagrams or notes from memory.

Requirements Life Cycle Management 53

Requirements Life Cycle Management Business Analysis Business Analysis Design Definition 53

Marutitech

DECEMBER 11, 2020

Low code platforms do this by offering a robust visual development environment where developers can define the user interface using drag and drop functionality, adding actions, animations, and much more. It allows developers to define business logic, workflow processes, data model, and UIs for mobile and web apps.

Visualization 72

Visualization User Experience Agile Government 72

MindsMapped

JANUARY 5, 2021

Business Analysis Planning and Monitoring. Business analysis work will need to be monitored and assessed throughout a project. This task covers managing and monitoring the ‘how’ of business analysis work, ensuring that commitments are being met and continuous learning and improvement opportunities are realised.

Business Analysis 94

Business Analysis Business Analysis Skillset Solution Evaluation 94

Marutitech

DECEMBER 17, 2021

You must be wondering what the different predictive models are? What is predictive data modeling? This blog will help you answer these questions and understand the predictive analytics models and algorithms in detail. What is Predictive Data Modeling? Monitor models and measure the business results.

Predictive Analytics 140

Predictive Analytics Data Mining Finance Data Analytics 140

Sisense

AUGUST 11, 2019

BI lets you apply chosen metrics to potentially huge, unstructured datasets, and covers querying, data mining , online analytical processing ( OLAP ), and reporting as well as business performance monitoring, predictive and prescriptive analytics.

Business Intelligence 75

Business Intelligence Business Intelligence Data Mining Predictive Analytics 75

Marutitech

JANUARY 21, 2022

Lastly, perform the data visualization to identify significant trends and patterns of your data. Simply putting your data in the form of a bar or line chart will enable you better to picture the importance and interdependency of the data. Modeling data . Integrate ethics into everything.

Project Management 113

Project Management Data Mining Data Analytics Data Analytics 113

Sisense

AUGUST 21, 2020

One result is that systems become much more intuitive: Users can take advantage of the “Simply Ask” feature to check “what are my sales next two months” and receive chatbot messages with projected visualizations and suggestions for further exploration routes. My take: The world is wider than the traditional BI tabular data.

Supply Chain 112

Supply Chain Data Modelling Decision Modelling Visualization 112

Data Pine

MARCH 25, 2022

There is not a clear line between business intelligence and analytics, but they are extremely connected and interlaced in their approach towards resolving business issues, providing insights on past and present data, and defining future decisions. What Is Business Intelligence And Analytics?

Business Intelligence 105

Business Intelligence Business Intelligence E-Commerce Predictive Analytics 105

Tableau

DECEMBER 1, 2021

Click to view the full interactive visualization. I was a member of Chris’ dissertation committee, having done a Stanford PhD on automatic design of graphical presentations that Chris had used in his dissertation. VizQL: A domain-specific language for visual, self-service analysis. Release v1.0

Innovation 144

Innovation Visualization User Experience Documentation 144

Tableau

DECEMBER 1, 2021

Click to view the full interactive visualization. I was a member of Chris’ dissertation committee, having done a Stanford PhD on automatic design of graphical presentations that Chris had used in his dissertation. VizQL: A domain-specific language for visual, self-service analysis. Release v1.0

Innovation 98

Innovation Visualization User Experience Documentation 98

Tableau

APRIL 12, 2022

When navigating through results, content is brought into one unified view—showing all content types—with each presented in the format they’re best viewed. . The new viz toolbar is grouped into buttons that help you interact with and modify content, monitor performance, explore deeper insights, keep track of updates, and collaborate.

Data Modelling 96

Data Modelling Monitoring Innovation Visualization 96

Tableau

APRIL 12, 2022

When navigating through results, content is brought into one unified view—showing all content types—with each presented in the format they’re best viewed. . The new viz toolbar is grouped into buttons that help you interact with and modify content, monitor performance, explore deeper insights, keep track of updates, and collaborate.

Data Modelling 96

Data Modelling Monitoring Innovation Visualization 96

Insight Software

MAY 1, 2023

This is in contrast to traditional BI, which extracts insight from data outside of the app. We rely on increasingly mobile technology to comb through massive amounts of data and solve high-value problems. Plus, there is an expectation that tools be visually appealing to boot. Their dashboards were visually stunning.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52