ElegantJ BI

DECEMBER 11, 2019

The need for strict analytical accuracy and absolute, binding results is often overkill for what we really need and the idea of absolute accuracy can also be misleading, because that report you are waiting for may be out of date by the time you receive the information.

Data Quality 130

Data Quality Agile Innovation Data Requirement 130

ElegantJ BI

DECEMBER 11, 2019

The need for strict analytical accuracy and absolute, binding results is often overkill for what we really need and the idea of absolute accuracy can also be misleading, because that report you are waiting for may be out of date by the time you receive the information.

Data Quality 130

Data Quality Agile Innovation Data Requirement 130

Smart Data Collective

NOVEMBER 6, 2019

Rather than guessing who will most likely buy from you, you can pull existing data from your website sales, Google analytics, or another data-collecting tool to identify the best-performing audience segments. You can also use the data to test new clients. You can determine how you’d like to reward each customer.

Big Data 133

Big Data Digital Data Requirement 133

BizAcuity

SEPTEMBER 30, 2019

We saw in our earlier blog that businesses today are deciding between cloud-based deployments and on premise solutions. Beyond industry standards and certification, also look for structured processes, effective data management, good knowledge management and service status visibility. Data governance and information security.

Data Governance 140

Data Governance Government Cloud Computing Monitoring 140

Dataversity

JANUARY 25, 2023

Over the past few years, enterprise data architectures have evolved significantly to accommodate the changing data requirements of modern businesses. Data warehouses were first introduced in the […] The post Are Data Warehouses Still Relevant?

Data Warehouse 130

Data Warehouse Data Architecture Cloud Computing Data Requirement 130

Dataversity

DECEMBER 16, 2022

Unsupervised and self-supervised learning are making ML more accessible by lowering the training data requirements. 2022 was a big year for AI, and we’ve seen significant advancements in various areas – including natural language processing (NLP), machine learning (ML), and deep learning.

Data Requirement 130

Data Requirement Artificial Intelligence 130

Domo

MAY 30, 2024

Clean your data set Data cleansing is like preparing your kitchen before you start cooking. Begin with removing duplicate entries to prevent the same information from skewing your analysis. Then move on to making your data formats consistent. It’s essential for keeping your AI effective and efficient.

Data Quality 105

Data Quality Data Governance Government Data Security 105

BizAcuity

SEPTEMBER 30, 2019

We saw in our earlier blog “ How to Choose Between Cloud-based and On-premise solutions ” that businesses today are deciding between cloud-based deployments and on-premise solutions. DATA GOVERNANCE AND INFORMATION SECURITY. Once you make the decision, there is the other big decision on which third-party provider to select.

Data Governance 113

Data Governance Government Cloud Computing Monitoring 113

GAVS Technology

NOVEMBER 5, 2024

Data Loss Prevention (DLP) is a critical security strategy designed to ensure that sensitive or essential information is not transmitted outside the organization’s network. These strategies incorporate a range of tools and software solutions that provide administrative control over the secure transfer of data across networks.

Cybersecurity 52

Cybersecurity Healthcare Monitoring Data Security 52

Sisense

OCTOBER 6, 2020

Digging into quantitative data Why is quantitative data important What are the problems with quantitative data Exploring qualitative data Qualitative data benefits Getting the most from qualitative data Better together. Digging into quantitative data. This is quantitative data.

Visualization 98

Visualization Data Warehouse Innovation Predictive Analytics 98

Juice Analytics

MARCH 11, 2021

.” -- Jessica Livingston, co-founder of Y Combinator With data products the core question of your user is: What information or insights will let you make better decisions and perform better in your job? Look for those unique situations where indecision, ignorance, or lack of information are blocking smart actions.

Product Management 128

Product Management Product Management Vision Healthcare 128

BizAcuity

SEPTEMBER 30, 2019

We saw in our earlier blog “ How to Choose Between Cloud-based and On-premise solutions ” that businesses today are deciding between cloud-based deployments and on premise solutions. DATA GOVERNANCE AND INFORMATION SECURITY. Once you make the decision, there is the other big decision on which third party provider to select.

Data Governance 100

Data Governance Government Cloud Computing Monitoring 100

BizAcuity

SEPTEMBER 30, 2019

We saw in our earlier blog “ How to Choose Between Cloud-based and On-premise solutions ” that businesses today are deciding between cloud-based deployments and on premise solutions. DATA GOVERNANCE AND INFORMATION SECURITY. Once you make the decision, there is the other big decision on which third party provider to select.

Data Governance 100

Data Governance Government Cloud Computing Monitoring 100

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? Proactivity: Another key benefit of big data in the logistics industry is that it encourages informed decision-making and proactivity. Now’s the time to strike.

Supply Chain 110

Supply Chain Logistics Big Data Customer Experience 110

Sisense

AUGUST 14, 2020

In the case of a stock trading AI, for example, product managers are now aware that the data required for the AI algorithm must include human emotion training data for sentiment analysis. Artificial intelligence is transforming products in surprising and ingenious ways.

Healthcare 98

Healthcare Cybersecurity Predictive Analytics Artificial Intelligence 98

The BAWorld

MARCH 13, 2024

This blog dives into the top 10 most valuable business analysis techniques, equipping you to navigate complex challenges and deliver game-changing solutions. User Stories: Embracing Customer Centricity Imagine short, informal descriptions of a system’s functionality told from the user’s perspective.

Business Analysis 52

Business Analysis Business Analysis Backlog Management Process Modelling 52

Sisense

AUGUST 11, 2019

The sheer quantity and scope of data produced and stored by your company can make it incredibly hard to peer through the number-fog to pick out the details you need. This is where Business Analytics (BA) and Business Intelligence (BI) come in: both provide methods and tools for handling and making sense of the data at your disposal.

Business Intelligence 75

Business Intelligence Business Intelligence Data Mining Predictive Analytics 75

Inflexion Analytics

APRIL 15, 2024

In this blog post, we’ll dive deep into the world of LLMs, exploring what makes them tick, why they matter, and how they’re reshaping industries across the board. Question Answering: They can answer questions based on the information they’ve been trained on, often rivaling human performance in this regard.

Artificial Intelligence 52

Artificial Intelligence Documentation Digital Innovation 52

Inflexion Analytics

APRIL 15, 2024

In this blog post, we’ll dive deep into the world of LLMs, exploring what makes them tick, why they matter, and how they’re reshaping industries across the board. Question Answering: They can answer questions based on the information they’ve been trained on, often rivaling human performance in this regard.

Artificial Intelligence 52

Artificial Intelligence Documentation Digital Innovation 52

BizAcuity

APRIL 1, 2023

Among other differences between the two options, data storage is a main factor – depending on the data requirement, you can choose which option of the tool to use. With a Power BI Pro license, you can upload up to 10 GB of data to the Power BI Cloud. The more the granularity, the more rows of data you will have.

Data Modelling 130

Data Modelling Data Requirement 130

BizAcuity

SEPTEMBER 21, 2022

Among other differences between the two options, data storage is a main factor – depending on the data requirement, you can choose which option of the tool to use. With a Power BI Pro license, you can upload up to 10 GB of data to the Power BI Cloud. The more the granularity, the more rows of data you will have.

Data Modelling 130

Data Modelling Data Requirement 130

Whizlabs

DECEMBER 13, 2020

Chief Information Security Officers or CISOs are more likely to prioritize cloud-native security with the adoption of serverless, Kubernetes as well as other cloud-native technologies. Chief Information Officers are more likely to have a higher dependency on development teams for guiding the technical direction of the enterprise.

Monitoring 98

Monitoring Digital Transformation Product Management Product Management 98

ElegantJ BI

SEPTEMBER 30, 2021

Data Volume, Transformation and Location Data Warehouse Datawarehouses (DWH) typically serve the entire organization and may have several Data Marts combined within the DWH to serve individual business units or departments (see Data Marts below for more information).

Data Management 130

Data Management Data Warehouse Government Data Governance 130

ElegantJ BI

SEPTEMBER 30, 2021

Datawarehouses (DWH) typically serve the entire organization and may have several Data Marts combined within the DWH to serve individual business units or departments (see Data Marts below for more information). Suitable For: Large volumes of data, integration of data sources, data sources do not change often.

Data Management 130

Data Management Data Warehouse Government Data Governance 130

ElegantJ BI

SEPTEMBER 30, 2021

Datawarehouses (DWH) typically serve the entire organization and may have several Data Marts combined within the DWH to serve individual business units or departments (see Data Marts below for more information). Suitable For: Large volumes of data, integration of data sources, data sources do not change often.

Data Management 130

Data Management Data Warehouse Government Data Governance 130

Astera

APRIL 28, 2023

The rise of AI has led to an explosion in the amount of available data, creating new opportunities for businesses to extract insights and make informed decisions. Grappling with the Data Management Puzzle This explosion in data has also led to challenges in managing and processing this information effectively.

Data Management 93

Data Management Artificial Intelligence Predictive Analytics Data Quality 93

Astera

MARCH 26, 2023

Vast amount of information is collected and analyzed daily for different purposes including risk assessment, product development, and making informed business decisions. But managing this data can be a significant challenge, with issues ranging from data volume to quality concerns, siloed systems, and integration difficulties.

Documentation 52

Documentation Data Quality Data Warehouse Data Management 52

Sisense

FEBRUARY 10, 2021

In order to do this, my team uses data to identify problem areas and potential issues for our customers (ideally before they happen). Like many organizations, our utility company clients are sitting on copious amounts of data from a variety of sources, including mobile applications and streaming data captured by grid-edge technologies.

Skillset 52

Skillset Data Requirement Data Quality Documentation 52

Astera

APRIL 3, 2023

While this wealth of data can help uncover valuable insights and trends that help businesses make better decisions and become more agile, it can also be a problem. Data silos are a common issue, where data is stored in isolated repositories that are incompatible with one another.

IBM Maintenance 52

IBM Maintenance IBM cost Data Security IBM Support 52

The BAWorld

NOVEMBER 24, 2023

As the volume and complexity of data increase, DA will become increasingly important in managing the digital age’s difficulties and opportunities. Finding patterns and trends in data is done by applying machine learning techniques and statistical algorithms.

Data Analytics 52

Data Analytics Data Analytics E-Commerce Predictive Analytics 52

Astera

FEBRUARY 22, 2023

There are many instances of dangerous medical errors due to a lack of healthcare data interoperability. In 2008, a patient in Utah died from chest pains due to inaccessibility to the information stored in EHR system of their previous healthcare provider. FHIR provides a flexible and modular approach to exchanging healthcare data.

Healthcare 52

Healthcare Government Information Technology Information Technology 52

Domo

MARCH 24, 2020

The volume of data required to make these decisions adds increasing levels of complexity. 1 – Dark data The boundaries of marketing are no longer encompassed by ad-tech/mar-tech/CRM, but instead comprise all sources of information. In 2020, it won’t be the case of looking through simple linear reports.

Digital 52

Digital Government Vision Customer Experience 52

The BAWorld

DECEMBER 6, 2023

Data analytics, the practice of gathering, cleaning, and studying information to extract valuable insights, stands as a highly sought-after and rewarding career path. The increasing reliance on data-driven decision-making in businesses has led to a growing demand for data analysts.

Data Analytics 52

Data Analytics Data Analytics Artificial Intelligence Visualization 52

Astera

SEPTEMBER 27, 2024

Smart data pipelines. Smart data pipelines manage complex ETL and data processes so that everyone in your organization, from executives to new hires, has access to timely and reliable information. They eliminate delays and simplify data access, allowing your team to make decisions without the usual manual hassle.

Data Management 52

Data Management Innovation Retail Real-time Data 52

Data Pine

OCTOBER 30, 2019

What Is A Data Report? 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.

Visualization 51

Visualization Retail Data Visualization Government 51

The BAWorld

APRIL 11, 2022

Data analysts collect and analyze data to solve a particular business problem. The position necessitates a lot of data analysis, along with communicating the findings. . Data is a vast arena of information, and most companies rely on data for growth. Convert business needs into data requirements.

IBM Maintenance 52

IBM Maintenance IBM cost IBM Support Data Analytics 52

Astera

DECEMBER 22, 2022

Enterprises will soon be responsible for creating and managing 60% of the global data. Traditional data warehouse architectures struggle to keep up with the ever-evolving data requirements, so enterprises are adopting a more sustainable approach to data warehousing. Technical Assets .

Data Warehouse 52

Data Warehouse IBM Maintenance IBM Support Data Architecture 52