Sisense

OCTOBER 21, 2020

We live in a world of data: There’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Dealing with Data is your window into the ways data teams are tackling the challenges of this new world to help their companies and their customers thrive. Picking a direction for your data model.

Data Modelling 71

Data Modelling Embedded Analytics Design Thinking Big Data 71

Astera

OCTOBER 7, 2022

The Rise of Unstructured Data Analytics. Until recently, enterprises solely relied on structured data to make business decisions — as conventional software couldn’t ingest, process, and extract the information from unstructured text mainly due to… the lack of structure. Why Is Unstructured Data Analytics Important?

Data Analytics 52

Data Analytics Data Analytics Documentation Customer Experience 52

Analysts Corner

JUNE 18, 2023

Python, Java, C#) Familiarity with data modeling and data warehousing concepts Understanding of data quality and data governance principles Experience with big data platforms and technologies (e.g., Oracle, SQL Server, MySQL) Experience with ETL tools and technologies (e.g.,

Data Warehouse 130

Data Warehouse Data Quality Documentation Data Governance 130

ElegantJ BI

JANUARY 3, 2020

While predictive analytics techniques and predictive modeling does include complicated algorithms. But, Predictive Analytics and data modeling need not be restricted to data scientists.

Predictive Analytics 130

Predictive Analytics Data Modelling Innovation Data Analytics 130

ElegantJ BI

JANUARY 3, 2020

While predictive analytics techniques and predictive modeling does include complicated algorithms. But, Predictive Analytics and data modeling need not be restricted to data scientists.

Predictive Analytics 130

Predictive Analytics Data Modelling Innovation Data Analytics 130

Tableau

JUNE 26, 2021

You’re building a bigger Tableau portfolio, too, which is great for a career in data analytics. In blogs this month, past winners shared their ideas, including Joshua Smith (2019 co-champion) and Sarah Bartlett (2018 finalist). Beyond the Iron Viz-specific blogs, there are—as always—lots of great tips and tricks to learn from.

Data Modelling 85

Data Modelling Innovation Data Analytics Data Analytics 85

Analysts Corner

JULY 28, 2023

There are numerous blog posts about prompt generation, image generation, and more clickbait about how people lose their job. IT business analyst as part of the data science team If you are working in this hat, you were (or you will soon) be taking advantage of data analytics in your day job.

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Artificial Intelligence Business Analysis Business Analysis Predictive Analytics 130

BizAcuity

JULY 13, 2021

Garnering over more than 6 decades of gaming intelligence experience of our founding team and using advanced technologies like AI & machine learning have a custom-built gaming accelerator platform that provides both visualization and data analytics. Data Enrichment/Data Warehouse Layer. Data Analytics Layer.

Data Warehouse 130

Data Warehouse Artificial Intelligence Data Analytics Data Analytics 130

Sisense

JANUARY 15, 2021

Implementing analytics at your company is a multi-team job. In Building Bridges , we focus on helping end users, app builders, and data experts select and roll out analytics platforms easily and efficiently. We live in a world driven by data. Situation #2: Established company creates a data team for deeper insights.

Skillset 75

Skillset Data Warehouse Data Modelling Business Intelligence 75

Tableau

JUNE 26, 2021

You’re building a bigger Tableau portfolio, too, which is great for a career in data analytics. In blogs this month, past winners shared their ideas, including Joshua Smith (2019 co-champion) and Sarah Bartlett (2018 finalist). Beyond the Iron Viz-specific blogs, there are—as always—lots of great tips and tricks to learn from.

Data Modelling 52

Data Modelling Innovation Data Analytics Data Analytics 52

The BAWorld

JANUARY 25, 2021

It primarily focuses on developing models that use algorithms to learn and detect patterns, trends, and associations from existing data. Models can apply this learning to new data. Let us have a look at the steps of machine learning followed while building a machine learning model.

Logistics 90

Logistics Data Visualization Artificial Intelligence Visualization 90

Sisense

MARCH 14, 2021

Attempting to learn more about the role of big data (here taken to datasets of high volume, velocity, and variety) within business intelligence today, can sometimes create more confusion than it alleviates, as vital terms are used interchangeably instead of distinctly. Big data analytics case study: SkullCandy.

Big Data 52

Big Data Supply Chain Data Warehouse Data Analytics 52

Astera

DECEMBER 29, 2023

In this article, we’re going to talk about Microsoft’s SQL Server-based data warehouse in detail, but first, let’s quickly get the basics out of the way. Free Download What is a Data Warehouse? The overarching goal of this architecture is to provide a robust foundation for analytical processing.

Data Warehouse 52

Data Warehouse Data Management Data Modelling Data Quality 52

Astera

DECEMBER 29, 2023

In this article, we’re going to talk about Microsoft’s SQL Server-based data warehouse in detail, but first, let’s quickly get the basics out of the way. Free Download What is a Data Warehouse? The overarching goal of this architecture is to provide a robust foundation for analytical processing.

Data Warehouse 52

Data Warehouse Data Management Data Modelling Data Quality 52

Whizlabs

APRIL 19, 2021

His blog Rick’s Cloud recently celebrated 10 years of cloud computing. When we look back, it’s quite interesting to see how technology has developed over the past decade, and Rick’s Cloud is a testimony of all these changes” – He said in his blog post named Rick’s Cloud – 10 years of Cloud Computing.

Cloud Computing 145

Cloud Computing IBM Support IBM Maintenance IBM cost 145

Astera

APRIL 28, 2023

To address these challenges, approximately 44% of companies are planning to invest in artificial intelligence (AI) to streamline their data warehousing processes and improve the accuracy of their insights. AI is a powerful tool that goes beyond traditional data analytics.

E-Commerce 40

E-Commerce Supply Chain Artificial Intelligence Data Warehouse 40

The BAWorld

APRIL 11, 2022

There’s never been a better time to broaden your data analytics knowledge. Still, if you’re considering getting a data analyst certifications, you’ll want to know if it’s worth it. But which data analytics qualifications are the best? Skills Required to Become a Data Analyst.

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IBM Maintenance IBM cost IBM Support Data Analytics 52

Sisense

JULY 24, 2019

In my previous blog , I wrote about Natural Language Query (NLQ, or search analytics for some), as one of the major topics that we, the AI group in Sisense, are working on. NLQ is one of the oldest AI disciplines, but we’ve only recently started hearing about it in conjunction with BI and analytics. Using AI to its Fullest.

Skillset 89

Skillset Big Data Data Modelling Data Analytics 89

Astera

APRIL 24, 2024

They gather, process, and analyze data from diverse sources. From handling modest data processing tasks to managing large and complex datasets, these tools bolster an organization’s data infrastructure. What are Data Aggregation Tools? Zoho Analytics Zoho Analytics offers a platform for data analytics and aggregation.

IBM Support 52

IBM Support IBM Maintenance IBM cost E-Commerce 52

Astera

AUGUST 22, 2023

Uncover hidden insights and possibilities with Generative AI capabilities and the new, cutting-edge data analytics and preparation add-ons We’re excited to announce the release of Astera 10.3—the the latest version of our enterprise-grade data management platform.

Innovation 52

Innovation Documentation Data Analytics Data Analytics 52

Astera

NOVEMBER 14, 2023

And consequently, having a constantly evolving architecture means you will have access to accurate, up-to-date data to fuel your analytics, allowing teams and departments to meet their respective goals.

Data Warehouse 52

Data Warehouse Agile Data Modelling Data Quality 52

Sisense

AUGUST 22, 2019

Python, R, and Analytics. From accessing to transforming to reporting on data, SQL gives you the power to get the job done. What’s been missing is a way to natively integrate Python and R with the rest of the data analytics stack. SQL is a critical skill for business intelligence. A New Paradigm.

Predictive Analytics 73

Predictive Analytics Data Warehouse Business Intelligence Business Intelligence 73

Sisense

SEPTEMBER 3, 2020

We live in a constantly-evolving world of data. That means that jobs in data big data and data analytics abound. The wide variety of data titles can be dizzying and confusing! In The Future of Work , we explore how companies are transforming to stay competitive as global collaboration becomes vital.

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Chief Data Officer Finance Data Modelling Visualization 97

Sisense

MAY 21, 2020

The movement of data from on-premise systems to the cloud is imperative; the cloud market is nearly $250B and is growing quickly. Net new use cases allow new and better access to tools that help democratize insights to enable better decision making,” says Naveen Punjabi, lead for data analytics partnerships at Google Cloud. “We

Digital Transformation 98

Digital Transformation Innovation Digital Retail 98

Inflexion Analytics

DECEMBER 20, 2021

This covers data sources, queries, visualisations, users and usage, and report scheduling. We can use this information to create an efficient data model and replicate the reports. We are experts in commercial analytics, data science, data engineering, data warehousing and data visualisation.

Data Analytics 52

Data Analytics Data Analytics Data Modelling Planning 52

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

Data Pine

MARCH 25, 2022

Well, what if you do care about the difference between business intelligence and data analytics? The most straightforward and useful difference between business intelligence and data analytics boils down to two factors: What direction in time are we facing; the past or the future? How Does This Work In Business?

Business Intelligence 105

Business Intelligence Business Intelligence E-Commerce Predictive Analytics 105

Astera

APRIL 7, 2023

However, a powerful data warehousing tool can help establish a secure environment for storing critical data. Let’s see how? Firstly, within a data warehousing tool, we can use separate data models to create abstraction layers between original databases and reporting layers.

Data Warehouse 52

Data Warehouse Healthcare Data Management Data Quality 52

Watermark Learning

MARCH 29, 2023

A post from the Watermark Learning Project Brief Blog. IIBA offers four specialized certifications in agile analysis, data analytics, cybersecurity, and product ownership. data flow diagram, swimlane, data model, etc.) so that you can answer the corresponding questions about that model.

Planning 52

Planning Business Analysis Business Analysis Cybersecurity 52

Sisense

JULY 8, 2020

We live in a world of data: there’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Dealing with Data is your window into the ways Data Teams are tackling the challenges of this new world to help their companies and their customers thrive. From ETL to ELT and beyond.

Data Warehouse 90

Data Warehouse Embedded Analytics Real-time Data Documentation 90

Marutitech

DECEMBER 17, 2021

You must be wondering what the different predictive models are? What is predictive data modeling? Which predictive analytics algorithms are most helpful for them? This blog will help you answer these questions and understand the predictive analytics models and algorithms in detail.

Predictive Analytics 140

Predictive Analytics Data Mining Finance Data Analytics 140

Sisense

JUNE 15, 2021

Marketing can be one of the most data-driven departments in a company, regardless of industry. That being said, not every marketing org is making the best use of the data at its disposal. Ashley is passionate about data, analytics, AI, and machine learning.

Vision 52

Vision Customer Experience Customer Experience Data Modelling 52

Sisense

JUNE 12, 2019

we gave attendees a sneak preview into AI Exploration Paths which provide an AI-guided experience for business users to dig deeper and explore their analytics. Stay tuned for more blogs by me as we roll these capabilities out!). Back to my session. Building a Better Tomorrow. This is a tall order.

Artificial Intelligence 75

Artificial Intelligence Big Data Data Analytics Data Analytics 75

The BAWorld

SEPTEMBER 2, 2021

This is a classic example of structured data and can be efficiently managed through a database. Unstructured Data. Unstructured data has no definite structure or data model and is stored in its native format. The post Structured Vs. Unstructured Data appeared first on Business Analysis Blog - Techcanvass.

Big Data 52

Big Data Data Warehouse Data Visualization Visualization 52

Astera

OCTOBER 27, 2023

Transitioning to a different cloud provider or adopting a multi-cloud strategy becomes complex, as the migration process may involve rewriting queries, adapting data models, and addressing compatibility issues. Dimensional Modeling or Data Vault Modeling? We've got both!

Data Warehouse 52

Data Warehouse Data Quality Big Data Predictive Analytics 52

Whizlabs

DECEMBER 23, 2020

However, organizations also face the need for ideal infrastructure for the storage, analysis, and processing of large volumes of data. Apache Cassandra has been one of the prominent names in the field of big data analytics for quite some time. On the contrary, users can avail a high-performance ‘column family’ data model.

Big Data 52

Big Data Data Analytics Data Analytics Data Modelling 52

Astera

JANUARY 25, 2024

Operationalizing insights from stored data and making them actionable in day-to-day business operations. Use Cases Data warehousing, business intelligence, reporting, and data analytics. Data enrichment for CRM, targeted marketing campaigns, real-time customer interaction, and personalized experiences.

E-Commerce 52

E-Commerce Data Warehouse Retail Customer Experience 52