erwin

MAY 2, 2022

How to create a solid foundation for data modeling of OLTP systems. As you undertake a cloud database migration , a best practice is to perform data modeling as the foundation for well-designed OLTP databases. This makes mastering basic data modeling techniques and avoiding common pitfalls imperative. Data modeling basics.

Modeling 98

Modeling Insurance Cost-Benefit Data Warehouse 98

AWS Big Data

NOVEMBER 16, 2023

Amazon Redshift is a popular cloud data warehouse, offering a fully managed cloud-based service that seamlessly integrates with an organization’s Amazon Simple Storage Service (Amazon S3) data lake, real-time streams, machine learning (ML) workflows, transactional workflows, and much more—all while providing up to 7.9x

Enterprise 84

Enterprise Data Warehouse Snapshot Cost-Benefit 84

FineReport

MAY 9, 2023

A successful marketing strategy includes modern business intelligence software and marketing reports that provide detailed data insights. A marketing report is a collection of data used to assess the success of a particular marketing campaign or effort. There are several ways where you can learn more about your target customer.

Reporting 52

Reporting Marketing Advertising Metrics 52

AWS Big Data

APRIL 26, 2023

In addition, an inventory of all assets is one of the foundational elements of an organization that facilitates the security and compliance team to audit the assets for improving privacy, security posture and mitigate risk to ensure the business operations run smoothly. This is a guest blog post co-written with Corey Johnson from Huron.

Metadata 52

Metadata Dashboards Visualization Consulting 52

AWS Big Data

MAY 4, 2023

Welcome to the era of data. The sheer volume of data captured daily continues to grow, calling for platforms and solutions to evolve. The Amazon Sustainability Data Initiative (ASDI) uses the capabilities of Amazon S3 to provide a no-cost solution for you to store and share climate science workloads across the globe.

Data Processing 94

Data Processing Metadata Informatics Interactive 94

datapine

OCTOBER 21, 2020

Big data has changed the way we manage, analyze, and leverage data across industries. One of the most notable areas where data analytics is making big changes is healthcare. In this article, we’re going to address the need for big data in healthcare and hospital big data: why and how can it help?

Big Data 364

Big Data Data Analytics Analytics Cost-Benefit 364

Cloudera

SEPTEMBER 20, 2022

I’m a research engineer by trade and have been involved in software creation in some way or another for most of my professional life. Moreover, while I endeavor to take a critical view of AI-assisted comic book art generation, I believe it’s impossible for me to write with complete objectivity.

Deep Learning 86

Deep Learning Cost-Benefit Risk Data-driven 86

Insight

NOVEMBER 14, 2019

Snapshot of interactive visualization of the topics identified by Guided LDA and the keywords in each topic (pyLDAvis) Originally posted on A nalytics Vidhya. The prevalent use of online platforms for interaction and the large size of the text data from users’ input makes digesting data increasingly more time-consuming.

Testing 54

Testing Modeling Strategy Interactive 54

bridgei2i

NOVEMBER 3, 2021

8:10] How do you see AI solutions replacing some of the more traditional ways of working? 10:27] There are many companies who are ahead of the curve such as yourselves and then there are companies that are dipping their feet into the water. 12:57] Aditya is known to contribute to society in many ways. Subscribe Now.

Manufacturing 52

Manufacturing Enterprise ROI Digital Transformation 52

datapine

MAY 31, 2022

It provides better data storage, data security, flexibility, improved organizational visibility, smoother processes, extra data intelligence, increased collaboration between employees, and changes the workflow of small businesses and large enterprises to help them make better decisions while decreasing costs.

Risk 237

Risk Cost-Benefit Business Intelligence Data-driven 237

DataKitchen

MAY 10, 2021

Data errors impact decision-making. Data errors infringe on work-life balance. Data errors also affect careers. If you have been in the data profession for any length of time, you probably know what it means to face a mob of stakeholders who are angry about inaccurate or late analytics.

Testing 214

Testing Manufacturing Data Quality Statistics 214

Occam's Razor

JULY 6, 2016

Analysts, honestly, make the world go round when it comes to any successful business – yes, data is that important. Today's post is an adjacent mistake: The cardinal sin of spending too much time with data and in reports! But, perhaps I'm at fault for creating the problem of you spending all your time with data.

Testing 86

Testing Marketing Experimentation Cost-Benefit 86

datapine

APRIL 15, 2020

When it comes to implementing and managing a successful BI strategy we have always proclaimed: start small, use the right BI tools , and involve your team. We know that the best approach is an iterative and flexible approach, no matter the size of your company, industry or simply a department. Without further ado, let’s begin.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

datapine

JULY 3, 2019

In a hyper-connected digital world driven by data, there has never been a better time for businesses to gather meaningful insights on their target prospects, in addition to measuring ongoing levels of commercial growth and performance. But how do you squeeze the most value from your various efforts? In which ways?

Metrics 219

Metrics KPI Strategy ROI 219

AWS Big Data

SEPTEMBER 7, 2023

Customers of all sizes and industries use Amazon Simple Storage Service (Amazon S3) to store data globally for a variety of use cases. Customers want to know how their data is being accessed, when it is being accessed, and who is accessing it. With exponential growth in data volume, centralized monitoring becomes challenging.

Metadata 99

Metadata Dashboards Metrics Visualization 99

datapine

FEBRUARY 4, 2020

Today’s digital data has given the power to an average Internet user a massive amount of information that helps him or her to choose between brands, products or offers, making the market a highly competitive arena for the best ones to survive. If you are doing things in the right way, should you do more of it? How do you know that?

Reporting 280

Reporting Marketing Advertising Metrics 280

datapine

JANUARY 14, 2020

Brands with the ability to build flawless customer experiences and offer exceptional standards of customer service (CS) stand to set themselves apart from their competitors in a notable way. That said, if you’re able to answer customer queries quickly and effectively, you stand to increase your brand loyalty ten-fold.

Reporting 168

Reporting KPI Metrics Dashboards 168

Occam's Razor

JANUARY 7, 2019

Some moments in time are perfect to reflect on where you are, what your priorities are, and then consider what you should start-stop-continue. In this post, my hope is to both enrich your consideration set and encourage the breadth of your goals. First… The Analytics top ten things to focus on to elevate your game this year….

Marketing Analytics 88

Marketing Analytics Marketing Analytics Strategy 88

Sisense

AUGUST 21, 2020

AI and machine learning are the future of every industry, especially data and analytics. In Growing Up with AI , we help you keep up with all the ways these pioneering technologies are changing the world. Let’s dive into these trends and see what else is on the horizon.

Analytics 112

Analytics Machine Learning Dashboards Visualization 112

Jet Global

JULY 29, 2020

For users of Oracle E-Business Suite (EBS), data access is about to get a bit more difficult now that the company has phased out the Oracle Discoverer product. Step 1: Define Your Oracle Discoverer Replacement Requirements. That way the replacement is an actual upgrade. Real-Time Reporting Solutions for Oracle EBS.

Reporting 98

Reporting Cost-Benefit Consulting Finance 98

IBM Big Data Hub

NOVEMBER 9, 2023

To unlock Kafka’s full potential, you need to carefully consider the design of your application. It’s all too easy to write Kafka applications that perform poorly or eventually hit a scalability brick wall. Fortunately, Kafka clients provide ways for you to avoid waiting on these round-trip times.

Metrics 69

Metrics IT Measurement Visualization 69

Sisense

AUGUST 16, 2021

New software companies are born, live, and grow on the cloud, their cloud data teams never handling a single server. Every other type of company is quickly transforming into a data company, whether it knows it or not, and the rapidly growing volumes of information organizations deal with have to get stored someplace.

Data Warehouse 52

Data Warehouse Analytics Cost-Benefit Visualization 52

Occam's Razor

SEPTEMBER 21, 2015

As in, the former is in the business of providing data, the latter in the business of understanding the performance implied by the data. Reflect on the implication of that why and so what on your current skills/career. The difference between a Reporting Squirrel and Analysis Ninja? In fact 86.4%

Visualization 160

Visualization Key Performance Indicator Slice and Dice Strategy 160

Smart Data Collective

JANUARY 31, 2022

One of the biggest changes is the combination of big data and search engine marketing. Understanding the Role of Data-Driven SEO and SEO. billion websites in existence, any website owner interested in improving their visibility in the search results and optimal usability needs to take data seriously during the design process.

Data-driven 100

Data-driven Big Data Statistics Optimization 100

Occam's Razor

FEBRUARY 25, 2014

There are three elements to our "big data" efforts, or unhyped normal data efforts: Data Collection, Data Reporting, and Data Analysis. Data presentation! The thing that is the difference between an organization that data pukes and the one that influences actions based on understandable insights.

Visualization 144

Visualization Key Performance Indicator Dashboards Metrics 144

Occam's Razor

NOVEMBER 15, 2010

What if I was given the login and password to someone's web analytics data and asked to "find something interesting? What if I was given the login and password to someone's web analytics data and asked to "find something interesting?" " How would I start the process of web data analysis right?

Reporting 139

Reporting Metrics Strategy Measurement 139

Insight

MARCH 28, 2019

For the Fall 2018 session of the Insight Fellows Program in NYC, we launched a new partnership with Thinknum , a company that provides alternative data indexed from the web to institutional investors and corporations?—?think think online product listings, store location data, job listings, social media presence, and more?—?and

Dashboards 70

Dashboards Visualization Data Science Machine Learning 70

Occam's Razor

JANUARY 28, 2013

Innocent: Passionate Copy and Heart-warming Visual Design. ~ My goal with this post is that by the time you are finished reading, you'll have identified 7 specific things to work on in your digital experience (though there are 18 lessons listed here). As a Digital Marketing Evangelist you can imagine how much that pains me.

Marketing 164

Marketing Insurance Visualization IT 164

Depict Data Studio

SEPTEMBER 10, 2019

Emily Rose Barter is one member of the Data, Reporting, and Evaluation team at Emerge Community Development in Minneapolis, Minnesota. This has multiplied the impact of the class, leveling up the data visualizations the team can produce for the entire agency. When I can’t make any more improvements.

Visualization 40

Visualization Dashboards Metrics Reporting 40

Domino Data Lab

FEBRUARY 4, 2019

In Paco Nathan ‘s latest column, he explores the role of curiosity in data science work as well as Rev 2 , an upcoming summit for data science leaders. Welcome back to our monthly series about data science. and dig into details about where science meets rhetoric in data science. Introduction. This is not that.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Domino Data Lab

AUGUST 22, 2019

Data scientists and researchers require an extensive array of techniques, packages, and tools to accelerate core work flow tasks including prepping, processing, and analyzing data. Utilizing NLP helps researchers and data scientists complete core tasks faster. Preprocessing Natural Language Data. Introduction.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

AWS Big Data

MARCH 3, 2023

In this post, we share how the AWS Data Lab helped Tricentis to improve their software as a service (SaaS) Tricentis Analytics platform with insights powered by Amazon Redshift. Although Tricentis has amassed such data over a decade, the data remains untapped for valuable insights.

Software 52

Software Data Lake Testing Cost-Benefit 52

Occam's Razor

OCTOBER 22, 2008

Along the way I'll share three different segments that you must have in your web analytics tool. Regardless of why your website exists or what tool you use, Google Analytics or an alternative. Advanced visualizations: Motion Charts! Automatic importing of AdWords cost data into Urchin. Custom Reports!

Analytics 105

Analytics Testing Reporting Metrics 105

Domino Data Lab

AUGUST 20, 2019

Many thanks to AWP Pearson for the permission to excerpt “Manual Feature Engineering: Manipulating Data for Fun and Profit” from the book, Machine Learning with Python for Everyone by Mark E. Feature engineering is useful for data scientists when assessing tradeoff decisions regarding the impact of their ML models.

Testing 68

Testing Modeling Interactive Measurement 68

Occam's Razor

JANUARY 7, 2014

First… it is important to realize that big data's big imperative is driving big action. Second… well there is no second, it is all about the big action and getting a big impact on your bottom-line from your big investment in analytics processes, consulting, people and tools.

Data-driven 140

Data-driven Consulting Reporting Marketing 140

AWS Big Data

MARCH 21, 2023

The Machine Learning, Data and Analytics (MLDA) team at AWS Payments enables data-driven decision-making across payments processes and partners by delivering data, business insights, and causal and ML inferences through a scalable set of data, insights, and ML inference services.

Cost-Benefit 75

Cost-Benefit Dashboards Visualization Data-driven 75

Occam's Razor

MARCH 7, 2016

I want you to sign up for something very, very special I'm doing: Writing short stories from the intersection of marketing and analytics. Facebook, YouTube, LinkedIn are platforms where you rent your existences. You own audiences on your email lists, on forums you host etc. Please do sign up. Should you own or rent?

Marketing Analytics 86

Marketing Analytics Marketing Analytics KPI 86