‘Phase Two’ of Europe’s Data Transformation

Corinium

For the UK and Europe’s most data-led companies, phase one of the data transformation is now complete. Data StrategyThe strategies have been agreed, the foundations have been laid and the real work is well underway.

‘Phase Two’ of Europe’s Data Transformation

Corinium

For the UK and Europe’s most data-led companies, phase one of the data transformation is now complete. Data StrategyThe strategies have been agreed, the foundations have been laid and the real work is well underway.

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Unicorns Will Power Latin America’s Data Transformation

Corinium

Data leaders at Latin America’s tech ‘unicorns’ are in a unique position. Young companies often have data in their bones but lack the budget for truly innovative data projects. Data and Analytics

Why You Should Prioritize Data Transformation Above Other Digital Transformation Initiatives

DataFloq

Chance are you’re aiming to invest in a BI and analytics program to capitalize on the big data your company has been acquiring over the years. But before you spend millions on opting for expensive BI programs, take a step back and ask yourself three questions:Do I have data I can trust?Do

Best-of-Breed Data Transformations for Pipelining

Tamr

Before we get into how Tamr is tackling data transformation, let’s start with the definition. Data transformation is defined as the process of converting data from one format or structure into another format or structure. Tamr enhances the data pipeline management process by giving users the ability to perform transformations at scale within the Unify UI. Tamr transformations are Spark-powered for speed and scalability.

5 Questions every CEO should ask before embarking on a Data Transformation

Peter James Thomas

But the 5 questions I highlight are as follows: Why does my organisation need to embark on a Data Transformation – what will it achieve for us? Do I have the expertise and experience on hand to scope a Data Transformation and then deliver it? How long will a Data Transformation take and how much will it cost? Is there an end state to our Data Transformation, or do we need a culture of continuous data improvement?

Accelerating Digital And Data Transformation In A Remote-Work World

Bruno Aziza

Leading companies are undertaking a wholesale transformation to enable remote work leveraging digital capabilities and data. Innovation /innovation cionetwork technology

First-ever IBM Analytics University empowers data transformation

IBM Big Data Hub

If you’re holding an event for the very first time, what helps you gauge its success? At IBM Analytics University, we turned to social media analytics. Here’s a summary of what we learned from the experts and from Watson Analytics for Social Media

How Compliance And Cost Reduction Are Funding Data Transformation

Bruno Aziza

Although CIO’s and CDO’s aspire to be on the offensive in using data to drive revenue generation and business growth, it is defensive initiatives that are providing cover for forward-looking transformation ambitions

GroupBy in Pandas: Your Guide to Summarizing and Aggregating Data in Python

Analytics Vidhya

The post GroupBy in Pandas: Your Guide to Summarizing and Aggregating Data in Python appeared first on Analytics Vidhya. Beginner Data Exploration Python Structured Data Technique aggregation data transformation filtration groupby pandas python split-apply-combine

Feature Transformation and Scaling Techniques to Boost Your Model Performance

Analytics Vidhya

Overview Understand the requirement of feature transformation and training techniques Get to know different feature transformation and scaling techniques including- MinMax Scaler Standard Scaler.

BHP Leverages the Denodo Platform to Create a Logical Data Fabric

Data Virtualization

Business Real Cases Advanced analytics AWS BHP Cloud Data Architecture data driven organization data fabric Data Science Data Sources data strategy data transformation data virtualization Denodo Platform logical data fabric

IT 52

Successful Data Virtualisation: more than the right choice of platform

Data Virtualization

Learn in 12 minutes: What makes a strong use case for data virtualisation How to come up with a solid Proof of Concept How to prepare your organisation for data virtualisation You’ll have read all about data virtualisation and you’ve.

Top-Down vs. Bottom-Up Culture Change

Dataiku

Last year when we surveyed over one hundred data professionals, they ranked organizational change as their third biggest data challenge (behind data cleaning and model productionalization). However, this year, organizational change moved up to the second place slot, suggesting that organizations have not yet overcome the culture change obstacles to data integration. organization Culture Data Transformation

How AI is Transforming Banks & Banking

Dataiku

Data has always been the foundation of the banking industry. What has changed in recent years, of course, is the amount of data available and the speed at which it is processed as well as the need to quickly respond to market changes. EnterpriseAI financial services Data Transformation

Start Thinking About DataOps

TDAN

Everyone’s talking about data. Data is the key to unlocking insight— the secret sauce that will help you get predictive, the fuel for business intelligence. The transformative potential in AI? It relies on data. The good news is that data has never […].

Data Architecture Crash Course: Key Terms

Dataiku

We’ve set out to demystify the jargon surrounding data architecture to enable every team to understand how it impacts their objectives. Hadoop Enterprise Ai Data Transformation data architectureNot sure what Hadoop actually is? A little fuzzy on what the difference is between cloud and on-prem storage?

DataOps Should Be Part of Everyone on the Data Team

DataKitchen

Data Transformers podcast hosts Peggy Tsai & Ramesh Dontha chat with DataKitchen CEO Chris Bergh about how DataOps should be 10% of every data team member's job. The post DataOps Should Be Part of Everyone on the Data Team first appeared on DataKitchen.

Steering Clear of Security Breaches: Maintaining Cloud Integrity in 2020

Sirius Computer Solutions

When people hear the term “cloud,” they have some idea of a technology functioning somewhere in space that can store, run and manage data applications. Where will your data actually be stored? Blog Cloud Cloud Security Cybersecurity data transformation Security

Data Preparation and Data Mapping: The Glue Between Data Management and Data Governance to Accelerate Insights and Reduce Risks

erwin

Organizations have spent a lot of time and money trying to harmonize data across diverse platforms , including cleansing, uploading metadata, converting code, defining business glossaries, tracking data transformations and so on. But the attempts to standardize data across the entire enterprise haven’t produced the desired results. The problem usually starts by relying on manual integration methods for data preparation and mapping. Data Quality Obstacles.

Prevent Rain Clouds Along Your Snowflake Migration

Sirius Computer Solutions

As we review data transformation and modernization strategies with our clients, we find many are investigating Snowflake as a data warehouse solution due to its ease of use, speed, and increased flexibility over a traditional data warehouse offering. However, potential storm clouds can build on the horizon in two key areas: Data migration and ongoing transformation of data. In this post, we focus on data migration and ongoing transformation.

Data is the new ingredient at Everest Ice Cream

Phocas

However to carry out continual improvement and gain efficiencies – Everest sought some extra assistance – in data analytics. The management team turned to the Phocas’ data analytics solution to help them track sales, pinpoint poor performing products and reduce waste.

Oracle BI Data Sync: How to Add a New Dimension

Perficient Data & Analytics

In this and the following post, I will cover the steps entailed in adding dimension and fact tasks in Oracle Data Sync. The latest releases of Data Sync included a few important features such as performing look-ups during an ETL job. These instructions are based on Oracle BI Data Sync version 2.3.2 and may not apply to previous versions of Data Sync. Under the Project tab, select Relational Data, and then Data From SQL.

How do Transformers Work in NLP? A Guide to the Latest State-of-the-Art Models

Analytics Vidhya

Overview The Transformer model in NLP has truly changed the way we work with text data Transformer is behind the recent NLP developments, including. The post How do Transformers Work in NLP? NLP Python data science deep learning Natural language processing nlp transformer python transformerA Guide to the Latest State-of-the-Art Models appeared first on Analytics Vidhya.

AI Maturity Survey: Where Are We in the Path to Enterprise AI?

Dataiku

With all the media hype and coverage around AI, one might think that every company out there has Enterprise AI all figured out and is extremely mature in their data journey. However, we surveyed more than 350 data professionals and found a different story. ai Data Strategy Data Transformation

Oracle BI Data Sync: How to Add a New Fact

Perficient Data & Analytics

Following my previous blog post on how to add a new Dimension to a Data Sync task , this post looks at how to add a Fact and perform a lookup on dimensions while loading the target fact table in a data warehouse using Data Sync. The latest releases of Data Sync included a few important features such as performing look-ups during an ETL job. These instructions are based on Oracle BI Data Sync version 2.3.2 and may not apply to previous versions of Data Sync.

How to use SQL with Pandas?

MLWhiz

Pandas is one of the best data manipulation libraries in recent times. It lets you slice and dice, groupby, join and do any arbitrary data transformation.

BMW creates data hub with Amazon to boost efficiency

DataFloq

LONDON (Reuters) - BMW has developed a data hub with Amazon's cloud computing division, in a sign of how companies are increasingly using "big data" to try to boost efficiency. "We We have a few hundred data scientists at BMW, but the aim is to make the data accessible to everyone.".

Data is Risky Business: The Darker Side of Data Monetization

The Data Administration Newsletter

We have seen an impressive amount of hype and hoopla about “data as an asset” over the past few years. And one of the side effects of the COVID-19 pandemic has been an acceleration of data transformation in organisations of all sizes.

Big Data Analytics-A Key Differentiator In Driving Digital Transformation

DataFloq

But the question arises that how fast they will undergo this digital transformation. Big data analytics acts as the major catalyst in driving digital transformation. the words of Gartner, data and analytics are the key accelerants of an organization’s digitization and transformation efforts. Modern big data analytics help businesses making analytical processes faster and more efficient, offering a competitive advantage to businesses. Big Data

A new data platform revitalizes a century-old manufacturer

IBM Big Data Hub

After decades of growth, spanning 78 plants in 23 countries on 5 continents, O-I is undertaking a data transformation from the ground up by reassessing their data infrastructure, and they came to IBM for help A company only survives for 115 years by reinventing itself, questioning assumptions, and constantly looking for an edge.

Data is Risky Business: The Next Normal

The Data Administration Newsletter

Taking Stock A year ago, organisations of all sizes around the world were catapulted into a cycle of digital and data transformation that saw many industries achieve in a matter of weeks in what would otherwise have taken many years to achieve.

Is Data Mesh Right for Your Organisation?

DataFloq

In a previous article, we discussed the new enterprise data architecture spreading like wildfire among the data community – Data Mesh architecture. We mentioned that it presents a paradigm shift in data architecture that sees the data industry follow suit by moving away from massive data teams prioritising centralised, monolithic data lakes and databases, to one that prioritises data domains and data products as first-class citizens.

Interviews from PASS Summit 2018: Matthew Roche, Matt Masson, Adam Saxton & Patrick LeBlanc

Paul Turley

Speaking with Matthew Roche and Matt Masson about the new Power BI Dataflows announcement, they told me that Power Query is becoming a truly enterprise-class data transformation technology. I had a chance to catch up with two of the three Matts from the Power BI product team at PASS Summit 2018. Matt Roche explained that … Continue reading → Microsoft BI Platform

Improve Business Agility by Hiring a DataOps Engineer

DataKitchen

Data-driven companies sense change through data analytics. Companies turn to their data organization to provide the analytics that stimulates creative problem-solving. The speed at which the data team responds to these requests is critical.

The Future of Content Marketing Infused With Big Data Analysis

DataFloq

quintillion bytes of data, and 90% of the existing data has been produced over the last two years alone. Big Data is the sheer enormity of information that users generate every second of every day, both online and offline. Big Data can be any type of data, including but not limited to: Sensor data. An effective Big Data system is able to collect, analyze, and manage these data for insights that lead to better decisions and strategic business moves.

Watch the Fifth Video in Our Snowflake Tutorial Series

Sirius Computer Solutions

Snowflake is the data cloud that boasts instant elasticity, secure data sharing and per-second pricing across multiple clouds. Its ability to natively load and use SQL to query semi-structured and structured data within a single system simplifies your data engineering.

How to Implement Data Lineage Mapping Techniques

Octopai

Ever reflect on what it would be like to be a piece of data that enters your BI system? It ain’t easy being data. Then again, it ain’t easy to be a BI developer trying to track data through a stream of twists, turns, transformations, and multiple BI systems.

4 Considerations When Building Your Government Data Strategy

Cloudera

If you’ve followed Cloudera for a while, you know we’ve long been singing the praises—or harping on the importance, depending on perspective—of a solid, standalone enterprise data strategy. But this is exactly the reason why a thoughtful application and data strategy comes in.

The Journey to DataOps Success: Key Takeaways from Transformation Trailblazers

DataKitchen

There are a limited number of folks on the data team that can manage all of these things. The trends are stacked up against the data team and we started to realize that there had to be a better way.”. Some people have relatively good data, so errors are not necessarily a problem.

The Best Data Management Tools For Small Businesses

Smart Data Collective

As the world is gradually becoming more dependent on data, the services, tools and infrastructure are all the more important for businesses in every sector. Solutions for the various data management processes need to be carefully considered. What is data management?

Top 6 Benefits of Automating End-to-End Data Lineage

erwin

Replace manual and recurring tasks for fast, reliable data lineage and overall data governance. It’s paramount that organizations understand the benefits of automating end-to-end data lineage. Doing Data Lineage Right. Data quality is crucial to every organization.

Sirius About Snowflake Demo: How to Create a Reporting Dashboard

Sirius Computer Solutions

Snowflake is a modern cloud data platform that boasts instant elasticity, secure data sharing and per-second pricing across multiple clouds. Its ability to natively load and use SQL to query semi-structured and structured data within a single system simplifies your data engineering.