Tue.Aug 04, 2020

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Time Intelligence in Power BI: Capitalize on time

Analytics Vidhya

Overview Understand the importance of Time Intelligence functions in Power BI Implement Time Intelligence functions in Power BI with a simple example Introduction. The post Time Intelligence in Power BI: Capitalize on time appeared first on Analytics Vidhya.

Analytics 331
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Who Does the Machine Learning and Data Science Work?

Business Over Broadway

A survey of over 19,000 data professionals showed that nearly 2/3rds of respondents said they analyze data to influence product/business decisions. Only 1/4 of respondents said they do research to advance the state of the art of machine learning. Different data roles have different work activity profiles with Data Scientists engaging in more different work activities than other data professionals.

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Playing with YOLO v1 on Google Colab

Analytics Vidhya

Object Detection is a computer vision task in which you build ML models to quickly detect various objects in images, and predict a class. The post Playing with YOLO v1 on Google Colab appeared first on Analytics Vidhya.

Modeling 331
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Data Analytics Is Vital To Digital Marketing Training During Pandemic

Smart Data Collective

Digital marketing is becoming more important during the pandemic. One study in the UK found that 65% of consumers increased spending during the crisis. Companies are investing more in digital marketing to respond to changing consumer behavior. Unfortunately, they have also found it difficult to train employees. Fortunately, new data analytics advances can help.

Marketing 118
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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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3 Ways Technology Is Hurting Your Financial Close Process

Jet Global

Is your financial close process run by institutional memory? People with knowledge and a background in the close process are able to execute its procedures on the basis of their expertise , regardless of whether the complexities of the close process are creating burdens and inefficiencies that those leaders aren’t able to get under control. Compared to that antiquated scenario, the adoption of any financial close software would seem to be a massive improvement.

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5 Amazing Benefits Of Big Data For Business Owners In 2020

Smart Data Collective

The big data market is exploding. According to Markets and Markets, it will be worth $229 billion in the next five years. Despite the rapid evolution of big data, many small businesses are overlooking its benefits. You should not make this mistake. You should consider the vast benefits of big data and invest in it accordingly. Why Small Businesses Overlook Big Data (And Should Start Embracing it).

Big Data 117

More Trending

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An expanded and more mobile-friendly version of the Data & Analytics Dictionary

Peter James Thomas

A revised and expanded version of the peterjamesthomas.com Data and Analytics Dictionary has been published. The previous Dictionary was not the easiest to read on mobile devices. Because of this, the layout has been amended in this release and the mobile experience should now be greatly enhanced. Any feedback on usability would be welcome. The new Dictionary includes 22 additional definitions, bringing the total number of entries to 220, totalling well over twenty thousand words.

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PODCAST: COVID19 | Redefining Digital Enterprises – Episode 13: Digital Sales Enablement is a gamechanger in the post-COVID era

bridgei2i

PODCAST: COVID 19 | Redefining Digital Enterprises. Episode 13: Digital Sales Enablement is a gamechanger in the. post-COVID era. Listening time: 11 minutes. Digital Sales Enablement is a gamechanger in the post-COVID era. In order to bring more value to the table in post COVID times, B2B sales organisations today are continuously looking out for the right insights to pursue the right opportunities.

Sales 93
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Reports Portal?Free You From Time-Consuming O&M Work

FineReport

When selecting the reporting software , whether the reporting system will enable report developers to develop reports quickly would be the priority of the enterprise’s consideration. However, it’s common to ignore choosing the reports portal. This would increase the O&M department’s burden to maintain the reporting system. For example, after our company launched the ERP system, it is convenient to develop simple reports after a period of debugging.

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Information Governance Goes Beyond Record Keeping

TDAN

The coronavirus lockdown prompted a quick shift by many financial institutions to business continuity modes and consumers to online banking interactions. But will this movement ultimately impact information management and governance? In responding to the immediacy of the pandemic situation, many credit unions, and banks, exacerbated by a survival methodology, moved to remote customer contacts […].

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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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Accelerating Spark 3.0 Google DataProc Project with NVIDIA GPUs in 6 simple steps

MLWhiz

Data Exploration is a key part of Data Science. And does it take long? Ahh. Don’t even ask. Preparing a data set for ML not only requires understanding the data set, cleaning, and creating new features, it also involves doing these steps repeatedly until we have a fine-tuned system. As we moved towards bigger datasets, Apache Spark came as a ray of hope.

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DAMA International Community Corner: August 2020 Update

TDAN

Each update includes announcements and news from DAMA International and Local Chapter members! Welcome to DAMA Corner, a source of information for data management professionals here in TDAN.com the industry leading publication for people interested in learning about data administration and data management disciplines and best practices. Each column provides an update on the professional organization DAMA International, and […].

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How to Create an End to End Object Detector using Yolov5

MLWhiz

Ultralytics recently launched YOLOv5 amid controversy surrounding its name. For context, the first three versions of YOLO (You Only Look Once) were created by Joseph Redmon. Following this, Alexey Bochkovskiy created YOLOv4 on darknet, which boasted higher Average Precision (AP) and faster results than previous iterations. Now, Ultralytics has released YOLOv5, with comparable AP and faster inference times than YOLOv4.

IT 72
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Tales & Tips from the Trenches: Data Catalogs are a Landmark

TDAN

451 Research begins its paper on the “unstoppable rise of the Data Catalog” with the following: Could the data catalog be the most important data management breakthrough to have emerged in the last decade? There’s certainly a case to be made given its importance in enabling modern analytics architecture.[1] The data catalog is indeed the […].

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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Deployment could be easy?—?A Data Scientist’s Guide to deploy an Image detection FastAPI API using Amazon ec2

MLWhiz

Just recently, I had written a simple tutorial on FastAPI, which was about simplifying and understanding how APIs work, and creating a simple API using the framework. That post got quite a good response, but the most asked question was how to deploy the FastAPI API on ec2 and how to use images data rather than simple strings, integers, and floats as input to the API.

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PODCAST: COVID19 | Redefining Digital Enterprises – Episode 13: Digital Sales Enablement a gamechanger in the post-COVID era

bridgei2i

PODCAST: COVID 19 | Redefining Digital Enterprises. Episode 13: Digital Sales Enablement a gamechanger in the. post-COVID era. Listening time: 11 minutes. Digital Sales Enablement a gamechanger in the post-COVID era. In order to bring more value to the table in post COVID times, B2B sales organisations today continuously looking out for the right insights to pursue the right opportunities.

Sales 52
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ERP implementations usually suck—but they don’t have to

3AG Systems

Large-scale Enterprise Resource Planning (ERP) implementation projects are notoriously, almost legendarily, awful for all involved—except maybe for the vendors selling them. What is it about ERPs that cause so much consternation? We’ll address this shortly; the real question is: Is the massive data do-over of a traditional ERP implementation really necessary for your company?

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EU Data Strategy: Helping Themselves

Andrew White

I read the EU Data Strategy some weeks ago. The document was made available for public comment. I posted to my blog some comments and challenges I felt it contained back in March: The Value of Data. The biggest challenge of all is that the EU is seeking to create a market for data. There are of course already many markets for data. There are also numerous use cases for data.

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Manufacturing Sustainability Surge: Your Guide to Data-Driven Energy Optimization & Decarbonization

Speaker: Kevin Kai Wong, President of Emergent Energy Solutions

In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.