‘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

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.

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. 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?

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

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

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). 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 Transformatio

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?

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?

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

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.

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.

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.

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. and may not apply to previous versions of Data Sync.

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. Click on the Relational Data tab under Projects.

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. Using Big Data for effective distribution of content.

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

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

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.

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.

Talk Data to Me: Why Employee Data Literacy Matters  

erwin

Organizations are flooded with data, so they’re scrambling to find ways to derive meaningful insights from it – and then act on them to improve the bottom line. To do this, employees need to “talk data,” aka data literacy. Data Literacy & the Rise of the Citizen Analyst.

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. Tackling the disparate data challenge.

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]. Such a model presents a series of states into which an organisation may fall with respect to its data.

Supercharging Your Digital Transformation with Embedded Analytics

Sisense

In Transform to Win , we explore the challenges facing modern companies, diving into their individual digital transformations and the people who drive them. We all know that data is becoming more and more essential for businesses, as the volume of data keeps growing.

Gartner – Introducing DataOps Into Your Data Management Discipline

Tamr

This influx of data-minded people in an organization, coupled with intense pressure to make data perform, is negatively impacting the pace at which data and analytic leaders can achieve progress and enact meaningful data transformations.

‘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.

The Data Mapping Process with Sitecore Data Exchange Framework

Perficient Data & Analytics

The Sitecore Data Exchange Framework allows for data to be synchronized between two disparate systems, neither of which need to actually be Sitecore. These are considerations that will need to be taken when determining how to model your data transformation processes.

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. Big Data SmartData Collective Exclusive

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.

How to Streamline Report Management to Enhance Your Data-Driven Business

Sisense

A critical part of effectively exploring your data, transforming it into actionable insights, and enhancing decision-making for your business is being empowered to slice and dice your data, and be less dependent on technical resources for new updates. Blog.

Big Data Technology Creates Seismic Changes In Online Gaming

Smart Data Collective

CIO reports that big data has helped the gaming industry increase its revenue to $40.6 How Is Big Data Transforming Digital Gaming? Let’s now tell you about some of the ways that big data is changing up the online gaming platforms. Big data has made this possible.

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. As our clients will know, our people are what Data Insight is all about.

Using Tamr’s metadata enrichment, discovery, and standardization to unlock new possibilities in data management

Tamr

At the genesis of any data-driven initiative or project, we must first find and access the relevant data in our organization to pull together. Better yet if the data we find can be inter-operable or re-usable across both new and old use cases.

AI, the Power of Knowledge and the Future Ahead: An Interview with Head of Ontotext’s R&I Milena Yankova

Ontotext

Milena Yankova : Ontotext works mainly on commercial and research projects that involve huge volumes of data where we search for meaning. We apply Artificial Intelligence techniques to understand the value locked in this data so we can extract knowledge that can benefit people.

Meet Perficient’s Chief Strategists: Arvind Murali

Perficient Data & Analytics

The current digital age has generated an exponential amount of data. From mobile devices and online activity to enterprise performance metrics and operational considerations, data is all around us. Some clients begin with a clean slate and want to capitalize on their legacy data assets.

Database vs. Data Warehouse: What’s the Difference?

Jet Global

In the business landscape of 2019, data is the only currency that matters. But the foundational step in getting the data to drive your business forward is first ensuring it can be collected and identified in a way that makes it simple to find and report on with the insights that matter.

How to Include BI in Your 2020 Budget

Sisense

Building a data-driven business includes choosing the right software and implementing best practices around its use. Every year when budget time rolls around, many organizations find themselves asking the same question: “what are we going to do about our data?”

Why Autonomous Data Warehouse is the Business Analyst’s Dream Database

Perficient Data & Analytics

With Oracle Autonomous Data Warehouse (ADW), the Business Analyst is now able to be the real owner of the database layer. This creates a great opportunity for the various departments to directly tap into data technologies, something that they’ve been, to some extent, forbidden to do.

Sirius Named NetApp FY19 HCI Partner of the Year

Sirius Computer Solutions

Channel partners are critical to helping customers achieve data transformation, and today we recognize and celebrate their accomplishments,” said Jeff McCullough, vice president of Channel Sales for NetApp. “I

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