Corinium

JANUARY 2, 2020

AI looks set to become an integral part of modern business. Our latest benchmarking survey of more than 600 global data and analytics leaders shows that 80% have already deployed machine learning (ML) algorithms within their organizations.

Machine Learning 221

Machine Learning Analytics 221

KDnuggets

JANUARY 2, 2020

Time series forecasting is a technique for the prediction of events through a sequence of time. In this post, we will be taking a small forecasting problem and try to solve it till the end learning time series forecasting alongside.

Forecasting 152

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Jen Stirrup

JANUARY 2, 2020

I conducted a workshop in Florida recently, aimed at helping people to move from Business Intelligence to Analytics. I thought I’d post the slides here. If you have any questions, please get in touch with me here. I have added some guidelines for using Power BI with marketing and sales data. These are general principles, and I hope it’s useful to people who produce business intelligence dashboards in these areas.

Business Intelligence 75

Business Intelligence Analytics Sales Big Data 75

KDnuggets

JANUARY 2, 2020

In this use case, available to the public on GitHub, we’ll see how a data scientist, project manager, and business lead at a retail grocer can leverage automated machine learning and Azure Machine Learning service to reduce product overstock.

Machine Learning 116

Machine Learning Management Data Science 116

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Visualization

Alation

JANUARY 2, 2020

Large enterprises invest heavily in modern data and analytic environments. That can be seen in growing revenues for big data and analytics — estimated to be $260 billion in the US by 2020, according to IDC. But while the cost and effort it takes to implement and maintain data environments can be pretty easily measured […]. The post Measuring the Value of Your Analytic Investments with the Alation Data Catalog appeared first on Alation.

Measurement 52

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KDnuggets

JANUARY 2, 2020

Delivering accurate insights is the core function of any data scientist. Navigating the development road toward this goal can sometimes be tricky, especially when cross-collaboration is required, and these lessons learned from building a search application will help you negotiate the demands between accuracy and speed.

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BizAcuity

JANUARY 2, 2020

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Data Processing 52

Data Processing Reporting IT Technology 52

Bruno Aziza

JANUARY 2, 2020

The principal challenges to becoming data-driven continue to be people and business process related.

Data-driven 63

Data-driven 63

BizAcuity

JANUARY 2, 2020

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Data Processing 52

Data Processing IT 52

Jet Global

JANUARY 2, 2020

Accounts receivable (A/R) is where the rubber meets the road. Companies can make sales all day and customers can pledge to pay on time and in full. Until those payments arrive, however, sales are just the promise of revenue. They don’t actually do anything for the bottom line until customers pay their bills. Since so much depends on an efficient and effective approach to A/R, companies need to manage it carefully.

Metrics 45

Metrics Sales Measurement Dashboards 45

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.

Management

BizAcuity

JANUARY 2, 2020

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Reporting 52

Reporting IT Management 52

Jedox

JANUARY 2, 2020

Zero-Based Budgeting is a unique accounting practice with specific advantages and disadvantages. It forces businesses to think about how each and every expense is managed in a specific budgeting period. A detailed spending plan is still the fastest way to achieve your finance goals. In general, a budget can be used to determine where every single cent should go each month.

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BizAcuity

JANUARY 2, 2020

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BizAcuity

JANUARY 2, 2020

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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.

Experimentation