Corinium

JANUARY 13, 2020

In the last decade regulatory requirements in financial services increased significantly. Datacon Africa DataCon Africa Insights Data and Analytics

Data Quality 272

Data Quality Analytics 272

Analytics Vidhya

JANUARY 14, 2020

Overview Looking to transition into data science? Here are 5 paths for a non-data science person to land a role in this space The. The post 5 Thoughts on How to Transition into Data Science from Different Backgrounds appeared first on Analytics Vidhya.

Data Science 269

Data Science Deep Learning Machine Learning Analytics 269

datapine

FEBRUARY 4, 2020

Let’s face it: every serious business that wants to generate leads and revenue needs to have a marketing strategy that will help them in their quest for profit.

Reporting 240

Reporting Marketing Slice and Dice Advertising 240

Phocas

JANUARY 2, 2020

Advancements in technology have changed the role of the IT department from that of a cost center to a strategic asset. Modern IT managers are developing strategies that match a company’s vision and goals.

Business Intelligence 193

Business Intelligence Software IT Management 193

Speaker: Chris McLaughlin, Chief Marketing Officer and Chief Product Officer, Nuxeo

After 20 years of Enterprise Content Management (ECM), businesses still face many of the same challenges with finding and managing information. Join Chris McLaughlin, CMO and CPO of Nuxeo, as he examines four common business challenges that these legacy ECM systems pose and how they can be addressed with a more modern approach.

Management

David Menninger's Analyst Perspectives

FEBRUARY 21, 2020

Ventana Research recently announced its 2020 research agenda for data, continuing the guidance we’ve offered for nearly two decades to help organizations derive optimal value and improve business outcomes. Data volumes continue to grow while data latency requirements continue to shrink.

Optimization 164

Optimization Data Lake Data Governance IT 164

DataFloq

FEBRUARY 20, 2020

Robotic Process Automation (RPA) and Artificial Intelligence (AI) are the current wave of technologies that companies are embracing with the goals of eliminating human error, increasing system efficiency and improving human productivity.Enterprises have implemented all kinds of software across the organization to automate business processes. Large organizations have installed numerous types of software to automate many tasks such as ERP, CRM, HRM, Financials, ITSM, Supply Chain, Logistics, etc. Even after using numerous software, there are several tasks that are required to be done manually. These manual and repetitive tasks are hindrances to employee productivity and customer service.Some of the daily tasks such as sending emails, performing data entry, updating systems of record, and fetching files are performed by business process experts who have familiarity in using the tools. Repetitive tasks consume at least 50% of employee’s time. The benefit with robots is that they are available 24x7 both in supervised and unsupervised mode and can be programmed to work across systems and workflows. For example, if you need to send an email, you can just talk to the Bot and it will type the text using speech-to-text tool. Subsequently, Read More on Datafloq. Artificial Intelligence Internet of Things

Digital Transformation 219

Digital Transformation Internet of Things Software Technology 219

erwin

JANUARY 3, 2020

Understanding the data governance trends for the year ahead will give business leaders and data professionals a competitive edge … Happy New Year! Regulatory compliance and data breaches have driven the data governance narrative during the past few years.

Data Governance 108

Data Governance Digital Transformation Metadata IoT 108

Cloudera

JANUARY 7, 2020

A new year is upon us and that means it’s time to look ahead to what’s coming next. In cloud computing, organizations are going to be making adjustments in 2020 – to accommodate overstrained budgets, new regulations, and shifting technologies.

Strategy 103

Strategy Technology IT 103

Smart Data Collective

FEBRUARY 14, 2020

Big data is a great asset for countless people all over the world. A growing number of companies are relying on data to deliver more value for their customers. One report shows the market for big data could reach $103 billion in the next seven years. Unfortunately, big data comes with a price.

Big Data 97

Big Data Reporting Risk Advertising 97

Data Science 101

JANUARY 24, 2020

It was an exciting cloud data science week. Lots of interesting stuff to cover, so let’s get started. Microsoft DP-100 Certification Updated – The Microsoft Data Scientist certification exam has been updated to cover the latest Azure Machine Learning tools.

Data Science 95

Data Science Machine Learning Deep Learning Analytics 95

Speaker: Terhi Hanninen, Senior Product Manager, Zalando, and Dr. Franziska Roth, Senior User Researcher, Zalando

It's important to know your users - what are their preferences, pain points, ultimate goals? With user research and usage data, you can get a great idea of how your users act. The tricky part is, very few users reliably act the same way every time they use your product. Join Terhi Hanninen, Senior Product Manager, and Dr. Franziska Roth, Senior User Researcher at Zalando, as they explain how they were able to reach a new level of user understanding - by taking their user research and segmenting their users by point-in-time intent. You'll leave with a strategy to change how your product team, and organization at large, understands your users.

IT

Corinium

FEBRUARY 13, 2020

How the role of the CDAO is changing, data culture is spreading and organisations are scaling data-driven capabilities dominated the agenda at this year’s conference.

ROI 244

ROI Data-driven Analytics 244

Analytics Vidhya

FEBRUARY 11, 2020

Introduction Have you ever struggled to improve your rank in a machine learning hackathon on DataHack or Kaggle? You’ve tried all your favorite hacks. The post What is Bootstrap Sampling in Statistics and Machine Learning? appeared first on Analytics Vidhya.

Statistics 230

Statistics Machine Learning Analytics 230

datapine

JANUARY 28, 2020

The ability to monitor, visualize, and analyze relevant data gives today’s businesses, across a host of sectors, the power to understand their prospects, make informed decisions, increase efficiencies, and work towards a set of rewarding long term goals.

Dashboards 201

Dashboards KPI Snapshot Key Performance Indicator 201

Phocas

JANUARY 16, 2020

There are many benefits for companies in manufacturing, distribution and retail to invest in enterprise resource planning (ERP) technology, including enhanced automation for the ability to deal with a complex data landscape.

Data Analytics 190

Data Analytics Manufacturing Analytics Enterprise 190

Speaker: Richard Cardran, Chief Creative Officer and VP Strategy, HIA Technologies

Innovation is both a process and an outcome. The best way to begin innovating your products is by innovating your internal process. We'll explore the challenges, solutions, and hands-on techniques for becoming a successful "agent of change" within a well-established product culture. We'll examine the importance of UX and user-centric feature analysis, the adaptation of Agile Methodologies to the creative process, as well as a way to drive successful culture change for setting expectations and winning approvals with cross-functional stakeholders. Innovation and Leadership go hand in hand. Join Richard Cardran, Chief Creative Officer and VP Strategy, HIA Technologies, as we assess some case studies to see how to lead with a clear strategy well-defined tactics, and an unbiased understanding of the fundamental question: "why are you innovating?"

Strategy

David Menninger's Analyst Perspectives

FEBRUARY 18, 2020

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.

Internet of Things 130

Internet of Things Analytics Optimization Technology 130

DataFloq

FEBRUARY 17, 2020

The web development of today is fast-paced. It requires the rapid deployment and quick collaboration between teams as feedback and issues constantly flows throughout the process. This makes the use of bug tracking tools crucial to keep the project moving forward effectively.Why Visual Bug Tracking?Bug

Visualization 216

Visualization IT 216

KDnuggets

JANUARY 22, 2020

This post is about explaining the various techniques you can use to handle imbalanced datasets. 2020 Jan Tutorials, Overviews Balancing Classes Datasets Metrics Python Sampling Unbalanced

Metrics 106

Metrics 106

erwin

JANUARY 9, 2020

Enterprises are trying to manage data chaos. They might have 300 applications, with 50 different databases and a different schema for each one.

Modeling 104

Modeling Data Governance Metadata Unstructured Data 104

Speaker: Dean Yao, Sr. Director of Product Marketing, Logi Analytics

Businesses are run with analytics - but companies continue to struggle with interpreting, analyzing, and distributing data. Operational reports help get information to the people who need it most, in formats they understand, and in a timeframe that matters. Join the webinar to learn how embedding operational reports can give your users a precisely formatted, ready-to-analyze view of their operational activities. World-class software teams are embedding operational reports to empower end users with interactive data visualizations, detailed information, and highly precise formats that can be shared via email, PDF, print, or online.

Operational Reporting

Cloudera

FEBRUARY 14, 2020

Apache Hadoop Ozone was designed to address the scale limitation of HDFS with respect to small files and the total number of file system objects. On current data center hardware, HDFS has a limit of about 350 million files and 700 million file system objects.

Testing 91

Testing Data Processing Big Data Measurement 91

Smart Data Collective

FEBRUARY 19, 2020

Injection molding is vital to the mass production of plastics and plastic products. Due to the variety of complications with mold design and mold manufacturing, and the combining of plastics and molding machines, there is difficulty in molding products with high quality and precision.

Technology 95

Technology Big Data Manufacturing Measurement 95

Kirk Borne

JANUARY 16, 2020

Written by Dr. Kirk Borne. One of my first consulting assignments with my current employer began several years ago. I was part of a team advising a large organization in how to design and implement an enterprise analytics solution group for the organization’s full end-to-end business activities.

Experimentation 87

Experimentation Uncertainty Testing Metadata 87

Corinium

FEBRUARY 3, 2020

Using data to inform business decisions only works when the data is correct. Unfortunately for the insurance industry’s data leaders, many data sources are riddled with inaccuracies. Data is the lifeblood of the insurance industry.

Insurance 212

Insurance Data Quality Risk Management 212

Speaker: Sam McAfee, Product Development Consultant, Startup Patterns

You know what they say: what's measured improves. As product managers we're in a golden age of being able to get all sorts of metrics and run all sorts of experiments. But what are your measurements and analytics focused on? Are they really truly objective? Do they contribute to the ultimate vision of your product? And is everybody clear on that vision? Join Sam McAfee, Product Development Consultant, as he takes you through a two-part measurement audit. First, you'll learn how to make sure your measurements actually align with your product strategy. And second, you'll learn how to evaluate your culture of using measurements, so future experiments will more consistently provide high-value results.

Measurement

Analytics Vidhya

FEBRUARY 13, 2020

What is the difference between loc and iloc in Pandas? Put this down as one of the most common questions you’ll hear from Python. The post How to use loc and iloc for Selecting Data in Pandas (with Python code!) appeared first on Analytics Vidhya.

Analytics 225

Analytics 225

datapine

FEBRUARY 18, 2020

The financial health, flow, and fluidity of your business will ultimately dictate its long-term success, which is why monitoring your money matters carefully, comprehensively, and accurately is absolutely essential.

Metrics 156

Metrics Finance Dashboards KPI 156

Phocas

JANUARY 14, 2020

White has grown to become one of the world’s leading manufacturers of direct-fired heaters for the agricultural, construction, and rental industries. Approximately 50 employees support the production and global distribution of more than 50,000 SKUs from the company’s headquarters in Wisconsin.

Manufacturing 188

Manufacturing Data Analytics Software Reporting 188

Data Science 101

FEBRUARY 15, 2020

Welcome to Cloud Data Science 7. Announcements around an exciting new open-source deep learning library, a new data challenge and more. Microsoft Releases DeepSpeed for Training very large Models DeepSpeed is a new open-source library for deep learning optimization.

Data Science 80

Data Science Deep Learning Modeling Optimization 80

Speaker: Magnus Penker, CEO & Founder, Innovation360 Group

Welcome to an interactive empowering session on how to sharpen your future through innovation management, which can help guide your company’s goals. During this webinar, Magnus Penker, international thought leader and author, will dive into how to assess and foster culture and capabilities for innovation.

Interactive

DataFloq

FEBRUARY 20, 2020

Despite their strong pain-relieving properties, opioids have become a scourge on society in recent years. Opioids, the class of drugs either naturally or synthetically derived from the opium poppy, bind to the body’s opioid receptors in order to relieve pain.

Data Analytics 209

Data Analytics Technology Analytics IT 209

KDnuggets

JANUARY 8, 2020

The standard job description for a Data Scientist has long highlighted skills in R, Python, SQL, and Machine Learning. With the field evolving, these core competencies are no longer enough to stay competitive in the job market.

Data Science 104

Data Science Machine Learning Marketing Deep Learning 104

Dataiku

FEBRUARY 17, 2020

Our 2019 ended with a bang with the announcement that Dataiku became a unicorn valued at $1.4 billion and gained a new investor (CapitalG).

Machine Learning 80

Machine Learning Data Science 80

Cloudera

FEBRUARY 20, 2020

Introduction. We are continuing our blog series about implementing real-time log aggregation with the help of Flink. In the first part of the series we reviewed why it is important to gather and analyze logs from long-running distributed jobs in real-time.

Dashboards 85

Dashboards Data Processing Metadata Interactive 85

Speaker: Sari Harrison, Product Management Instructor, Product School

As a product manager, it's your job to realize your product’s vision by executing your chosen strategy. It’s also your job to deliver value to the business. Ultimately, these two outcomes are aligned so the temptation is to focus primarily on business metrics. Doing this can cause you to lose focus on the real value you are trying to achieve, in favor of moving the vanity metrics such as launches and time spent. Join Sari Harrison, Product Management Instructor at Product School, as she explains how to use immeasurable success criteria along with your more standard KPIs to deliver products that don't just get used a lot, but deliver real value.

Metrics