‘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. Meanwhile, established enterprises have the resources for data initiatives, but are stubborn and resistant to change. Data and AnalyticsUnicorns represent the best of both worlds.

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 Do I understand my data?Do Do I have a data transformation & data quality framework in place?A, Big Data Strategy

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.

Is Big Data Transforming Our Broken Hospital Management Systems?

Smart Data Collective

The healthcare industry is happily embracing big data. Hospitals around the world are finding that data can have a profound impact on their operations. A lot of the emphasis so far has been on the use of big data to better engage with external third-parties, but big data can be equally valuable for managing internal hospital systems. Big Data is the Key to Improving the Efficiency of Hospital Management Systems? Big Data is the Key to Hospital Management.

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

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-combineWhat if I told you that we can derive effective and impactful insights from our dataset in just a few lines of code? That’s.

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

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 […]. The thing that powers your CRM, your monthly report, your Tableau dashboard.

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?

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.

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.

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. Some of the numerous characteristics and options to consider when researching and consulting with cloud providers are: Your company size, current data application environment, and the business pain point(s) you want to solve with cloud adoption. Where will your data actually be stored?

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 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.

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.

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.

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

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.

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.

Happy Birthday, CDP Public Cloud

Cloudera

On September 24, 2019, Cloudera launched CDP Public Cloud (CDP-PC) as the first step in delivering the industry’s first Enterprise Data Cloud. Enrich – Data Engineering (Apache Spark and Apache Hive). Predict – Data Engineering (Apache Spark).

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. Data management has become a fundamental business concern, and especially for businesses that are going through a digital transformation. A survey from Tech Pro Research showed that 70 percent of organisations already have a digital transformation strategy or are developing one. What is data management?

Data Integrity, the Basis for Reliable Insights

Sisense

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.

Transforming Healthcare with the Tamr Real World Evidence Integration Solution

Tamr

The digitization of healthcare has made a flood of real world data (RWD) available for collection and analysis. RWD comes from electronic health records, medical claims and billing systems, patient-generated data, product and disease registries, and many other sources. Until now, it has been challenging to standardize and store operational data models for RWE. Among them, it: Integrates messy, disparate data sources. Automates and streamlines data analysis.

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.

‘We want to be agile and not just do agile.’ Alex Tran shares key leadership insights at DI Day

Data Insight

Analytics in an agile organisation Data Insight’s very first DI Day welcomed an array of inspiring speakers. One of the members of our ‘Leaders in Data Transformation’ panel, Alex Tran, shared the lessons learnt on working Agile, a hot topic in organisations today. When faced with the question, ‘does agile help or hinder the use of data in organisations?’,

Gartner – Introducing DataOps Into Your Data Management Discipline

Tamr

“Within the next year, the number of data and analytics experts in business units will grow at three times the rate of experts in IT departments, which will force companies to rethink their organizational models and skill sets.” – Gartner , Introducing DataOps Into Your Data Management Discipline, 31 October 2019, Ted Friedman, Nick Heudecker. For example, Gartner notes that end-user client inquiry data shows a 200% YoY increase in 2019 DataOps related questions.

Streamlining Digitized Patient Data into Analysis-Ready, Real-World Evidence

Tamr

In the world of digitized healthcare, including electronic health records and claim databases, companies are struggling to keep up with the amount of data gathered about patients. This real-world data (RWD) isn’t just vast, it’s gathered in a number of different ways and formats—all designed to be easy for the healthcare professionals to submit. Everyone, from hospitals and insurance companies to connected device companies like Fitbit and Apple, collects data their own way.

Birst automates the creation of data warehouses in Snowflake

Birst BI

Managing large-scale data warehouse systems has been known to be very administrative, costly, and lead to analytic silos. The good news is that Snowflake, the cloud data platform, lowers costs and administrative overhead. Customers such as Crossmark , DJO Global and others use Birst with Snowflake to deliver the ultimate modern data architecture. The result is a lower total cost of ownership and trusted data and analytics.

What is Data Lineage? Top 5 Benefits of Data Lineage

erwin

Data lineage is the journey data takes from its creation through its transformations over time. Tracing the source of data is an arduous task. Many large organizations, in their desire to modernize with technology, have acquired several different systems with various data entry points and transformation rules for data as it moves into and across the organization. Data Lineage Use Case: From Tracing COVID-19’s Origins to Data-Driven Business.

5 Ways Big Data Has Revolutionized Invoicing Software

Smart Data Collective

Big data is changing the nature of invoicing software in many ways. In 2015, Spend Matters wrote a detailed report on the applications of big data in the e-invoicing industry. Big Data Transforms Invoicing Software Applications. Before big data became a prominent aspect of invoicing, many SME owners don’t initially see much value in the concept of invoicing software. These benefits are leveraged by the big data features it has provided.

Measuring Maturity

Peter James Thomas

In the thirteen years that have passed since the beginning of 2007, I have helped ten organisations to develop commercially-focused Data Strategies [1]. I last wrote about the process of creating a Data Strategy back in 2014 and – with the many changes that the field has seen since then – am overdue publishing an update, so watch this space. Such a model presents a series of states into which an organisation may fall with respect to its data.

Unified Clinical Data: the Key to Faster Pharma Breakthroughs

Tamr

There are a wide variety of causes for expensive drug failures, but key among them is the inability for scientists to efficiently process study data and drive faster, more data-driven processes in the drug development life cycle. Without access to unified clinical data, scientists are burdened with either the inability to find the data they need, or must manually clean, transform, and harmonize study data from different sources and formats.

PODCAST: AI for Digital Enterprise – Episode 5: How Intelligent Operations can become prime advantage for enterprises

bridgei2i

AI-led Intelligent Operations can help a lot and, in fact, already transforming these areas—be it developing smart apps for banking or using drones to do damage surveys for insurance—with its exceptional ability to detect anomalies and recommend next-best options.

Apache Spark on Kubernetes: How Apache YuniKorn (Incubating) helps

Cloudera

Natively support Big Data workloads. YuniKorn is designed for Big Data app workloads, and it natively supports to run Spark/Flink/Tensorflow, etc efficiently in K8s. Cloudera’s CDP platform offers Cloudera Data Engineering experience which is powered by Apache YuniKorn (Incubating).

What's trending in data in 2020?

Data Insight

Last year almost 200 data leaders attended DI Day, demonstrating an abundant thirst for knowledge and support to drive data transformation projects throughout their diverse organisations. This year we expect to see organisations continue to leverage the power of data to deliver business value and growth. As our clients will know, our people are what Data Insight is all about. Attracting and keeping great data science talent is another obstacle in itself.