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?

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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

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. It ensures data consistency, accessibility, and integrity, facilitating efficient data storage, retrieval, and analysis.

Business Analysis 52

Business Analysis Business Analysis Backlog Management Process Modelling 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. The post Fundamentals of Data Analytics appeared first on Business Analysis Blog.

Data Analytics 52

Data Analytics Data Analytics E-Commerce Healthcare 52

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

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

Smart Data Collective

NOVEMBER 6, 2019

Look at your website dashboard and see which blog posts have received the most traffic. This is an organic approach to building your brand that you can improve with the data you collect from your customers. Because they specialize in this aspect of marketing, they have more data, resources, and knowledge that you have.

Big Data 121

Big Data Digital Data Requirement 121

ElegantJ BI

DECEMBER 11, 2019

This analytical agility will help them to see data clearly and gain insight and, while these tools may not produce 100% accuracy in the hands of a business users, there are many times throughout the work day where users need good, solid information but do NOT need strategic, analytical information that is 100% accurate.

Data Quality 130

Data Quality Agile Innovation Data Requirement 130

ElegantJ BI

DECEMBER 11, 2019

This analytical agility will help them to see data clearly and gain insight and, while these tools may not produce 100% accuracy in the hands of a business users, there are many times throughout the work day where users need good, solid information but do NOT need strategic, analytical information that is 100% accurate.

Data Quality 130

Data Quality Agile Innovation Data Requirement 130

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). This presented the first challenge for our product team in building Cascade Insight: What is the data that is most important to capture?

Skillset 52

Skillset Data Requirement Data Quality Documentation 52

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 post 10 Examples of How Big Data in Logistics Can Transform The Supply Chain appeared first on BI Blog | Data Visualization & Analytics Blog | datapine.

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Supply Chain Logistics Big Data Customer Experience 110

BizAcuity

APRIL 19, 2019

Only, the data required to do this is not so easily available. But there are ways businesses can solve this. That too, efficiently. Think about it, using advanced technologies, we can analyse the users’ behaviour, preferences, actions and so much more.

Data Mining 189

Data Mining Real-time Data Data Analytics Data Analytics 189

Domo

DECEMBER 5, 2017

Real-time data requires agile execution Real-time data is only as helpful as your ability to execute on it quickly. Following the example of companies like Amazon and Freddy’s, data-driven success will be increasingly defined by how organizations turn real-time data into real-time decisions and actions.

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Real-time Data Agile User Experience Data Requirement 52

ElegantJ BI

OCTOBER 1, 2020

But, businesses do not have the time or budget to provide unlimited IT resources and the fast pace of business and market changes has made it difficult to satisfy the day-to-day data requirements of business users.

Data Discovery 130

Data Discovery Data Warehouse Business Intelligence Business Intelligence 130

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.

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.

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Data Modelling Data Requirement 130

Astera

DECEMBER 21, 2022

Moreover, when using a legacy data warehouse, you run the risk of issues in multiple areas, from security to compliance. Fortunately for forward-thinking organizations, cloud data warehousing solves many of these problems and makes leveraging insights quick and easy. What is a Cloud Data Warehouse?

Data Warehouse 52

Data Warehouse Supply Chain Business Intelligence Business Intelligence 52

Astera

NOVEMBER 13, 2023

In this blog, we’ll dive into the importance of API design tools, key features to look for and review the top tools in the market. Key features include: Client-Driven Schema Design: Clients can specify their data requirements that allows the server to deliver data as needed, eliminating over-fetching or under-fetching.

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Documentation Visualization Data Modelling Project Management 52

Astera

JULY 20, 2023

Best Practices for Successful EDI Mapping To achieve the most seamless interoperability capabilities and maximize the benefits of utilizing EDI tools, businesses can adhere to key best practices that ensure efficient mapping processes and optimal data compatibility.

Supply Chain 52

Supply Chain Documentation Digital Data Requirement 52

Juice Analytics

MARCH 11, 2021

Part 2: Development If “ Data is the Bacon of Business ” (TM), then customer reporting is the Wendy’s Baconator. In a recent blog post , we described the differences between customer reporting and data products. Those differences result in some very different functional requirements.

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Product Management Product Management Vision Healthcare 128

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

Astera

APRIL 28, 2023

Final Verdict: Intelligent Systems are Changing the Game Intelligent systems are revolutionizing data management by providing new and innovative ways to analyze, process, and interpret vast amounts of data.

Data Management 93

Data Management Artificial Intelligence Predictive Analytics Data Quality 93

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. Qualitative data benefits: Unlocking understanding.

Visualization 98

Visualization Data Warehouse Innovation Predictive Analytics 98

Astera

JULY 18, 2023

They enable data professionals to clean, transform, and organize raw data efficiently, saving countless hours of manual work while ensuring data quality and consistency. In this blog, we will explore the benefits of data wrangling tools and the top contenders in the market.

Data Quality 52

Data Quality Visualization Data Visualization Documentation 52

Astera

MAY 25, 2023

As such, it is critical for businesses and organizations to not only collect and store big data, but also ensure its security to protect sensitive information and maintain trust with customers and stakeholders. In this blog, we will discuss the importance of big data security and the measures that can be taken to ensure it.

Big Data 40

Big Data Data Security Monitoring Data Quality 40

Astera

OCTOBER 19, 2023

An agile tool that can easily adopt various data architecture types and integrate with different providers will increase the efficiency of data workflows and ensure that data-driven insights can be derived from all relevant sources. Adaptability is another important requirement.

IBM Support 40

IBM Support Data Quality IBM Maintenance Real-time Data 40

Whizlabs

DECEMBER 13, 2020

The configuration insights will be an important aspect of DevOps trends empowering DevOps teams with data required for making informed decisions. Furthermore, businesses could also require the ability to control their releases to the end-users. The post Upcoming DevOps Trends for 2021 appeared first on Whizlabs Blog.

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Monitoring Digital Transformation Product Management Product Management 98

Astera

AUGUST 22, 2023

Automated Insurance Claim Processing The insurance claim processing in healthcare can be a labyrinth of procedures involving various stakeholders, each with unique data requirements. Missteps along the way, from incorrect patient information to improper billing codes, may lead to rejections, adding more processing time and effort.

Healthcare 52

Healthcare Data Management Supply Chain Pharmaceutical 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

Bridging the Gap

MAY 18, 2023

And then your individual business analysts are responsible for analyzing the business processes , defining the functional requirements , and analyzing the data requirements within their assigned area of work. This could be by software system or by stakeholder group, or by a category of features.

Business Analysis 52

Business Analysis Business Analysis Project Management Skillset 52

Astera

JANUARY 23, 2024

Their data architecture should be able to handle growing data volumes and user demands, deliver insights swiftly and iteratively. Traditional data warehouses with predefined data models and schemas are rigid, making it difficult to adapt to evolving data requirements.

Agile 52

Agile Data Warehouse Data Quality Government 52

The BAWorld

APRIL 11, 2022

However, these critical responsibilities of a data analyst vary from organization to organization. . Convert business needs into data requirements. Clean, transform, and mine data from primary and secondary sources. The post 10 Best Data Analyst Certifications In 2022 appeared first on Business Analysis Blog.

IBM Maintenance 52

IBM Maintenance IBM cost IBM Support Data Analytics 52

Astera

MAY 11, 2023

The Power of Synergy: AI and Data Extraction Transforming Business Intelligence The technologies of AI and Data Extraction work in tandem to revolutionize the field of Business Intelligence. AI can analyze vast amounts of data but needs high-quality data to be effective.

Business Intelligence 40

Business Intelligence Business Intelligence Supply Chain Logistics 40

Astera

MAY 9, 2023

Choosing the Right Data Integration Solution As the explosion in data volume continues, traditional methods of data management and integration cannot be used anymore. While AI-based data integration is now the talk of the town, it’s important to choose the right solution to handle modern data requirements.

Healthcare 40

Healthcare Retail Finance Data Quality 40

Astera

NOVEMBER 1, 2023

An All-Round Platform for Finance Data Warehouse Astera DW Builder is a part of Astera’s data ecosystem that has parallel processing ETL/ELT engine and data transformation, validation, and monitoring features. It provides a tailored set of data warehouse automation features to meet your specific data requirements.

Data Warehouse 52

Data Warehouse Finance Data Quality Banking 52

Astera

FEBRUARY 7, 2024

Unable to Handle Complex Transformations Since the zero-ETL approach depends on in-place processing, it is not ideal for scenarios demanding data transformations or combining data from different sources. Moreover, highly complex data require more development and maintenance resources to maintain zero-ETL solutions.

Real-time Data 52

Real-time Data Cybersecurity Data Quality Monitoring 52

Astera

JANUARY 24, 2024

Overcoming Common C hange D ata C apture Challenges Bulk Data Management Handling the bulk of data requiring extensive changes can pose challenges for the CDC. Technically, the transformation and loading occur simultaneously with CDC, making it a more efficient procedure. Its efficiency diminishes notably in such cases.

E-Commerce 52

E-Commerce Data Warehouse Real-time Data Monitoring 52