Thu.Oct 29, 2020

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A Definitive Guide for predicting Customer Lifetime Value (CLV)

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The world of business has completely changed and revolves around its. The post A Definitive Guide for predicting Customer Lifetime Value (CLV) appeared first on Analytics Vidhya.

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Why Collaboration Matters in Analytic Processes

David Menninger's Analyst Perspectives

Every organization performing analytics with multiple employees needs to collaborate. They should be collaborating in the analytics process and in communicating the results of those analyses. As I continue my evaluation of analytics and data vendors , I have to admit some disappointment at the level of collaborative capabilities some analytics vendors provide.

Analytics 180
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5 Popular Data Science Languages – Which One Should you Choose for your Career?

Analytics Vidhya

Overview Data Science is one of the fastest-growing industries with an enormous number of tools to satiate your needs Let’s talk about the different. The post 5 Popular Data Science Languages – Which One Should you Choose for your Career? appeared first on Analytics Vidhya.

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Why Data Will Power the Self-Driving Car Revolution

Sisense

Blog. 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. Over the years, some bold predictions have been made about the impact autonomous vehicles (AVs) will have on our daily lives.

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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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NLP Applications in Support Call Centers

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction This article is in continuation of my previous article on using. The post NLP Applications in Support Call Centers appeared first on Analytics Vidhya.

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Creating a Data-Driven Workforce with Blended Learning

DataCamp

Bloomberg’s Global Data Technical Trainer, Sheil Naik, breaks down how a blended learning environment can catalyze a data-driven workforce.

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How Business Partners Have Impact And Drive Value Creation

Jedox

This week we welcome back FP&A expert Anders Liu-Lindberg to the Jedox blog. In this piece, he defines value creation in the context of business partnering and gives answers on how to measure the value of the practice. . Any business partner initiative should start by answering the simple questions: Why should we invest in business partnering? Why would you want a business partner at the table when critical business decisions are made?

Finance 59
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The Role of Data Governance During A Pandemic

Anmut

Data governance - who's counting? 858 212. About the population of Reunion**, and the gap between the WHO’s and John Hopkins’ total confirmed cases of COVID-19 worldwide**. On the 29th of October 2020, the WHO reported 44,002,003 confirmed cases. Worldometer which John Hopkins base their figures on, reported 44,860,215 cases. 858,212 is a big number – a whole island.

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Building a Data-driven Collection Channel Allocation Optimization Strategy for an NBFC

bridgei2i

Case study: Building a Data-driven Collection Channel Allocation Optimization Strategy for an NBFC. Business Context. The client is a leading Financial Services firm that wanted to deploy collection resources optimally, to maximize the overall resolution rate. How BRIDGEi2i Delivered Value? Using its accelerator Optimizer, BRIDGEi2i helped them do better Customer Risk Profiling and prioritize case-level allocation.

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Reimagining Business Amidst the COVID-19 Pandemic

Teradata

COVID-19 has forced many businesses to rethink their business models due to changes in customer requirements, but it has also opened up a world of new opportunities.

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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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Healthcare Data Impact Awards finalists shine in Data for Good category

Cloudera

Cloudera’s annual Data Impact Awards will be announced during a virtual celebration on November 18, 2020. If you’d like to join us and hear more about the winners, you can register here. . As always, we’re excited that the finalists represent a cross-section of industries. Personally, I’m thrilled to talk more about one of our healthcare finalists.

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Our Top 20 Most-Read Data & Analytics Research Last Week (to Oct 25)

Andrew White

Click here for an interactive PDF to connect to the notes directly. Yours truly hit a home run! I had the good fortune of leading our team of Content Leaders to publish our new Leadership Vision for 2021: Data and Analytics. It published last week and went right into “number 1” spot – it was our most-read piece of research across D&A excluding branded research such as Magic Quadrants. “Data and analytics leaders face unprecedented challenges over the next 18 months

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How I cracked my MLE interview at Facebook

MLWhiz

It was August last year and I was in the process of giving interviews.

IT 52
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CDP Data Visualization: Self-Service Data Visualization For The Full Data Lifecycle

Cloudera

With the massive explosion of data across the enterprise — both structured and unstructured from existing sources and new innovations such as streaming and IoT — businesses have needed to find creative ways of managing their increasingly complex data lifecycle to speed time to insight. At Cloudera, we set out to directly address these lifecycle challenges through the Cloudera Data Platform (CDP) — the only hybrid-cloud, multi-cloud enterprise data platform built for the full data lifecycle. .

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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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How to Achieve a Stress-Free, Streamlined Year-End Close

Jet Global

If you work in finance and accounting, a lot of things in your life are probably put on hold at certain times of the year. For most, the annual year-end closing process is one of the more stressful times on the annual calendar. Management wants those final numbers as soon as possible. That means gathering information from a wide variety of sources, checking and re-checking the numbers.

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Automating Data Governance

erwin

Automating data governance is key to addressing the exponentially growing volume and variety of data. erwin CMO, Mariann McDonagh recounts erwin’s vision to automate everything from day 1 of erwin Insights 2020. Data readiness is everything. Whether driving digital experiences, mapping customer journeys, enhancing digital operations, developing digital innovations, finding new ways to interact with customers, or building digital ecosystems or marketplaces – all of this digital transformation is

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Triple Threat: A Trio of Decision Modeling Tales of Terror

Decision Management Solutions

By Gagan Saxena, VP Solutions and a Principal Consultant, Decision Management Solutions. Decision modeling can be a “good-enough” representation of business problems, providing adequate information for automating decisions. And even if there may be a good reason for not automating every single decision, you would not be confident of those reasons unless you’ve done some level of modeling.

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Building a Graph Visualization Tool

Dataiku

In data science, most data is represented in the form of tables that consist of columns and rows and we consider rows as independent (e.g., each row corresponds to a single person). However, these rows can be related (e.g., some people may have relationships with others). The underlying structure of our table now becomes a graph: a set of nodes (e.g., persons) that are connected to each other through edges (e.g., relationships).

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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.