4 Unique Methods to Optimize your Python Code for Data Science

Analytics Vidhya

Overview Writing optimized Python code is a crucial piece in your data science skillset Here are four methods to optimize your Python code (with. The post 4 Unique Methods to Optimize your Python Code for Data Science appeared first on Analytics Vidhya.

Predictive Analytics Use Case: Marketing Optimization!

Smarten

Without a fundamental understanding of how a customer makes a buying decision and how customers choose a product or service, the marketing and advertising process is based only on guesswork, and that guesswork is bound to result in lost revenue and poor optimization of the marketing budget.

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Inventory optimization helps American Metals Supply adapt to change

Phocas

Critical during this time is i nventory optimization, monitoring closely what’s on hand, as well as projected inventory levels to uncover areas to address.

New Analytic Approaches in Decision Optimization

Decision Management Solutions

There’s a lot you can do right now to optimize your decisions. And you can optimize your decisions mathematically. What does the future hold for decision optimization? These models will improve any optimization that uses them. Optimal Decision-Making.

Optimal Decision-Making

Decision Management Solutions

This creates a rich set of information with which to optimize your decision, but to exploit it you will need to use mathematical models to calculate the different permutations and an optimization engine or solver to find the best one. But decision optimization is not a one-off exercise. But to find an optimal approach, you’ll need to use math. — Other posts in this series: The Customer Journey to Decision Optimization.

Go Beyond Predictions. Optimize Business Impact.

Jen Underwood

Industry Perspective Predictive Analytics BI & Analytics Artificial Intelligence Prescriptive Analytics Automation Solution Review automated machine learning Optimizationby Jen Underwood. Why didn’t I think of that?

What the Future Holds for Decision Optimization

Decision Management Solutions

James, thank you for the opportunity to guest blog in your series on Decision Optimization. As James has discussed, optimizing decisions can be complex, requiring the management of many conflicting trade-offs, but often with huge benefits. Optimal Decision-Making.

3 Data-Driven Elements Of Conversion Rate Optimization Strategies

Smart Data Collective

Big data has played a very important role in conversion rate optimization. Audrey Throne, an author with Big Data Analytics News, has shared some details about the benefits of big data in conversion rate optimization. Use e-commerce reporting on Google Analytics.

HyperOpt: Bayesian Hyperparameter Optimization

Domino Data Lab

This article covers how to perform hyperparameter optimization using a sequential model-based optimization (SMBO) technique implemented in the HyperOpt Python package. Feature engineering and hyperparameter optimization are two important model building steps.

Whitepaper: Pooled Sample Testing: Optimal Strategy Determination using BRIDGEi2i Optimizer

bridgei2i

Take a look at how large-scale, sequential optimization can help assess the infection rates of larger groups, promoting faster calls-to-action to contain the pandemic spread!

Data Analytics Optimizes Shipping through KPI Tracking

Smart Data Collective

Data analytics is ideal for monitoring performance across many metrics. The role of new analytics solutions has somehow been overlooked by many experts in the big data community. The post Data Analytics Optimizes Shipping through KPI Tracking appeared first on SmartData Collective. Analytics Big Data SmartData Collective Exclusive big data data analytics kpi KPI tracking shipping industryBig data is affecting every element of logistics in the economy.

KPI 61

WEBCAST: COVID-19 | Pooled Sample Testing using BRIDGEi2i Optimizer – Videos

bridgei2i

WEBCAST: COVID-19 | Pooled Sample Testing using BRIDGEi2i Optimizer TM. The post WEBCAST: COVID-19 | Pooled Sample Testing using BRIDGEi2i Optimizer – Videos appeared first on Home Page – BRIDGEi2i: AI for the Digital Enterprise | Analytics and AI solutions for Enterprises

MicroStrategy World: Optimizing Healthcare with Mobile Analytics

Perficient Data & Analytics

Juliet Silver, Chief Strategist for Healthcare , presented on optimizing healthcare operations with mobile analytics. There exists opportunity to improve this with analytics. Analytics with predictive analysis can give you insight. customer journey analytics.

How To Use Big Data To Deliver Optimized Customer Experiences

Smart Data Collective

Companies have been able to perform more in-depth customer analysis—above and beyond social media commentary and feedback surveys—with the development and proliferation of analytics. Big analytics empowers retention growth by revealing customer preferences as indicated by past buyer behavior.

Why prescriptive analytics and decision optimization are crucial

IBM Big Data Hub

Prescriptive analytics helps identify the best course of action that can enable businesses to achieve organizational goals. Although figuring out what you should do is a crucial aspect of business, the value of prescriptive analytics is often missed.

Optimized Planning with Artificial Intelligence

Jedox

The ability to quickly analyze trends, visualize analytics, and apply AI to budgets and forecasts shortens the cycle and eliminates the guessing games and negotiation that typically takes place, and reduces overall time and effort.

Embedded Analytics Provide Meaningful Insights

David Menninger's Analyst Perspectives

Analytics and business intelligence (BI) play an instrumental role in enabling an organization’s business units and IT to utilize its data in both tactical and strategic ways to perform optimally. embedded analytics Analytics Business Intelligence Digital Technology

From Analytics to Action Requires Collaboration

David Menninger's Analyst Perspectives

All too often, software vendors view analytics as the end rather than the beginning of a process. Data Science Machine Learning Analytics Business Intelligence Collaboration Data Governance Information Optimization Digital Technology collaboration for business

Analytics in 2020: Ventana Research Agenda

David Menninger's Analyst Perspectives

Ventana Research recently announced its 2020 research agenda for analytics , continuing the guidance we’ve offered for nearly two decades to help organizations derive optimal value from their technology investments and improve business outcomes.

How Predictive Analytics Impact Distribution

DataFloq

Analytics tools are one of the most crucial parts of business success in the twenty-first century. While it's not as magical as a crystal ball, analytics can provide in-depth knowledge about the state of a company and help it predict with some certainty what will happen.

Big Data Advances Lead to More Optimal SEO-Predicated Hosting

Smart Data Collective

There are a number of reasons that machine learning, data analytics and Hadoop technology are changing SEO: Machine learning is becoming more widely used in search engine algorithms. One is the evolution of predictive analytics.

More Brands Use AI Driven PPC Strategies For Optimal Exposure

Smart Data Collective

Machine learning and predictive analytics are changing the field of PPC in fantastic ways. You should keep this in mind while optimizing your campaigns. The post More Brands Use AI Driven PPC Strategies For Optimal Exposure appeared first on SmartData Collective.

Optimizing Marketing Spend with IBM Watson Studio

Jen Underwood

In our previous article, we introduced IBM Watson Studio and discussed helping our CMO and marketing team better utilize limited resources with advanced analytics. Predictive Analytics BI & Analytics Data Science IBM Machine Learning Sponsoredby Jen Underwood.

Analytics and Business Intelligence for a Data-Driven World

David Menninger's Analyst Perspectives

Ventana Research provides unique insight into the analytics and business intelligence (BI) industry. To accomplish this, organizations must provide technology that can access the data, generate and apply insights from analytics, communicate the results and support collaboration as needed.

Can My Business Achieve Optimal Analytics Without Hiring Dozens of Data Scientists?

Smarten

As the need for advanced analytics increases in organizations, enterprises large and small struggle to find and sustain the professional resources they need to meet their requirements for data, analysis and strategic direction.

How Up-And-Coming Music Companies Use Big Data For Optimal Results

Smart Data Collective

One of the biggest ways that it is disrupting the industry is by creating new engagement strategies and optimizing relationships. Spotify developed a new tool last year called Publishing Analytics that helps music companies get the most value of their data.

Optimizing Analytics in Retail with Geospatial Data

Perficient Data & Analytics

Predictive analytics solutions have incorporated the fundamentals of location-based analytics for years, but these were typically cumbersome tools that were confined to small groups of specialists. Advanced Analytics business intelligence cognos geospatial data location analytics pitney bowes watson

Driving optimization with BI reporting and advanced analytics

3AG Systems

You’ve likely been barraged by a seemingly endless stream of data terms: BI technologies, big data techniques, advanced analytics, machine learning and AI. The benefits associated with BI technologies, big data techniques and advanced analytics are not revolutionary. These technologies allow companies to enhance existing skills and optimize existing processes. This is not BI nor advanced analytics.

Optimization technology and AI in the real world: Operational efficiency stories

IBM Big Data Hub

In this blog post, we’ll share real-world stories of how decision optimization technology delivers prescriptive analytics capabilities and opens the door to operational efficiency.

BI reporting, advanced analytics and the discipline of business optimization

3AG Systems

You’ve likely been barraged by a seemingly endless stream of data terms: BI technologies, big data techniques, advanced analytics, machine learning and AI. The benefits associated with BI technologies, big data techniques and advanced analytics are not revolutionary. These technologies allow companies to enhance existing skills and optimize existing processes. This is not BI nor advanced analytics.

The Internet of Things: Real-Time Data and Analytics Enable Business Innovation

David Menninger's Analyst Perspectives

To do this IoT requires a set of event-centered information and analytic processes that enable people to use that event information to make optimal decisions and take act effectively.

Prescriptive Analytics: An Introduction

Jen Underwood

Where descriptive analytics reveals what has happened in the past, prescriptive analytics delivers insight into optimizing future decisions. As data-driven organizations mature, they will begin to apply prescriptive analytics. by Jen Underwood.

Optimizing SaaS Pricing Strategy Based On Data Analysis

Smart Data Collective

Well, that’s where data analytics and their interpretation come in. The post Optimizing SaaS Pricing Strategy Based On Data Analysis appeared first on SmartData Collective. SaaS SmartData Collective Exclusive BI Data data analysis data analytics pricing strategy saasTrying to create the ultimate SaaS pricing strategy is tricky, to say the least.

Digital Marketing And Analytics: Two Ladders For Magnificent Success

Occam's Razor

Progress in digital marketing and analytics in either scenario becomes painful (the organization / systems / thinking is simply not in the optimal position). One for digital marketing and one for digital analytics. It is a part of multi-channel analytics chapter.

Top 10 Analytics And Business Intelligence Trends For 2020

datapine

The rise of self-service analytics democratized the data product chain. Suddenly advanced analytics wasn’t just for the analysts. The analytics trends in data quality grew greatly this past year. 4) Predictive And Prescriptive Analytics Tools. 7) Augmented Analytics.

Why You Get Faster Query Results with Teradata’s Adaptive Optimizer

Teradata

Carrie Ballinger explores the capabilities of Teradata’s Adaptive Optimizer and how it builds better query plans for faster answers to analytic queries

Transforming With Optimism in the Insurance Industry

Perficient Data & Analytics

That optimism comes from the stability these companies have managed to develop. Mario Greco, CEO of Zurich Insurance Group, one of the world’s largest insurance companies, sat down with CNBC following the release of the company’s Q4 2017 earnings. He shared his views on how the industry is doing as a whole, as well as how Zurich is maintaining its leadership position in such a competitive environment. The industry is in a fantastic state of transformation.

Lagrange multipliers with visualizations and code

KDnuggets

In this story, we’re going to take an aerial tour of optimization with Lagrange multipliers. Whenever we have an optimization problem with constraints. 2019 Aug Tutorials, Overviews Analytics Mathematics Optimization PythonWhen do we need them?

Analytics Use Cases in Consumer Product Industry

DataFloq

Having advanced analytics techniques like predictive analytics in place, CPG companies can go ahead with reactive operations and take smart decisions. Let’s look at 4 analytics use cases in consumer product industry:-.

Pricing Optimization for a Fortune 500 Consumer & Professional Products Company

bridgei2i

Pricing Optimization for a Fortune 500 Consumer & Professional Products Company. The post Pricing Optimization for a Fortune 500 Consumer & Professional Products Company appeared first on Home Page – BRIDGEi2i: AI for the Digital Enterprise | Analytics and AI solutions for Enterprises. Case study. Business Context.

The Lean Analytics Cycle: Metrics > Hypothesis > Experiment > Act

Occam's Razor

Sometimes, we escape the clutches of this sub optimal existence and do pick good metrics or engage in simple A/B testing. This thought was in my mind as I was reading Lean Analytics a new book by my friend Alistair Croll and his collaborator Benjamin Yoskovitz.

Excellent Analytics Tip #24: Obsess About Real Business Profitability

Occam's Razor

" comfort zone, and out of your Google Analytics, Site Catalyst, WebTrends worldview silo. Part of the reason is that the data you to which you have access narrows your worldview – "Hey, all I have is Google Analytics, so all I'll look at is Google Analytics data!"

Call Center Dashboard – Reporting & Analytics In Our Data-driven World

datapine

A call center dashboard is an intuitive visual reporting tool that displays a range of relevant call center metrics and KPIs that allow customer service managers and teams to monitor and optimize performance and spot emerging trends in a central location.