Smart Data Collective

JANUARY 26, 2021

Big data architecture lays out the technical specifics of processing and analyzing larger amounts of data than traditional database systems can handle. According to the Microsoft documentation page, big data usually helps business intelligence with many objectives. Using a Translation Company with Your Big Data Strategy.

Data Architecture 141

Data Architecture Big Data Data Strategy Data-driven 141

AWS Big Data

OCTOBER 30, 2024

Get started with our technical documentation. Joel Farvault is Principal Specialist SA Analytics for AWS with 25 years’ experience working on enterprise architecture, data governance and analytics, mainly in the financial services industry. Yogesh Dhimate is a Sr.

Analytics 119

Analytics Visualization Data Governance Data-driven 119

AWS Big Data

NOVEMBER 14, 2024

in Delta Lake public document. For the information about enabling UniForm, refer to Enable Delta Lake UniForm in the Delta Lake public document. Note that the extra package ( delta-iceberg ) is required to create a UniForm table in AWS Glue Data Catalog. In this post, you choose AWS Glue Data Catalog as an external catalog.

Metadata 122

Metadata Data Warehouse Big Data Data Lake 122

CIO Business Intelligence

JUNE 5, 2024

Less than half of organizations have a coherent data management process in place before they launch AI projects, say IT leaders at Databricks and Astera Software, both in the data management space. If they don’t actually have their data in order, they’re not going to have the impact they want.”

Management 142

Management Strategy Data Strategy Marketing 142

Andrew White

AUGUST 4, 2020

I read the EU Data Strategy some weeks ago. The document was made available for public comment. I posted to my blog some comments and challenges I felt it contained back in March: The Value of Data. The biggest challenge of all is that the EU is seeking to create a market for data. If I had it didn’t sink in.

Data Strategy 52

Data Strategy Strategy Data Collection Marketing 52

AWS Big Data

OCTOBER 30, 2024

Get started with our technical documentation. Joel Farvault is Principal Specialist SA Analytics for AWS with 25 years’ experience working on enterprise architecture, data governance and analytics, mainly in the financial services industry. Fabricio Hamada is a Senior Data Strategy Solutions Architect at AWS.

Visualization 119

Visualization Data Lake Testing Data Governance 119

Alation

MARCH 14, 2023

Data gathering and use pervades almost every business function these days — and it’s widely acknowledged that businesses with a clear strategy around data are best placed to succeed in competitive, challenging markets such as defence. What is a data strategy? Why is a data strategy important?

Data Strategy 52

Data Strategy Strategy Metadata Data Quality 52

CIO Business Intelligence

SEPTEMBER 12, 2024

While some enterprises are already reporting AI-driven growth, the complexities of data strategy are proving a big stumbling block for many other businesses. This needs to work across both structured and unstructured data, including data held in physical documents.

ROI 110

ROI Cost-Benefit Unstructured Data Metadata 110

Rocket-Powered Data Science

OCTOBER 16, 2020

Be sure to listen to the full recording of our lively conversation, which covered Data Literacy, Data Strategy, Data Leadership, and more. The data age has been marked by numerous “hype cycles.” That’s data. That’s all data. Yet again, that’s data. The Age of Hype Cycles.

Digital Transformation 142

Digital Transformation Experimentation Data Science Data Strategy 142

CIO Business Intelligence

MAY 2, 2023

Worse is when prioritized initiatives don’t have a documented shared vision, including a definition of the customer, targeted value propositions, and achievable success criteria. This derailment stems from having no defined data strategy or having one not aligned with digital transformation objectives.

Digital Transformation 141

Digital Transformation IT Data-driven Data Quality 141

Smart Data Collective

SEPTEMBER 21, 2020

Here are some helpful tips: Regardless of where the data is being stored – on a desktop, cloud drive, or in a specific software platform – you should have a hierarchy of folders to neatly organize files. There should be a documented method of naming files and once you zero in on a method, it must be strictly followed.

Data Governance 145

Data Governance Data Strategy Strategy Software 145

Data Science 101

NOVEMBER 26, 2019

Thus, companies need to be very careful about running data analytics projects. There are many reasons for the failure of data science projects. They are well-documented on the internet in: Why Data Science Projects Fail , Five Reasons Your Data Science Project is likely to Fail , and many others.

Data Science 109

Data Science Data Strategy Strategy Software 109

Smart Data Collective

DECEMBER 22, 2021

Data-driven businesses can develop their own infrastructure and handle all of their data management processes in-house. However, there are a lot of third-party big data applications worth investing in. Businesses Must Use the Right Applications to Facilitate their Big Data Strategy in 2022.

Data-driven 123

Data-driven Big Data Cost-Benefit Software 123

Alation

SEPTEMBER 15, 2022

But, if the conversations with seasoned data leaders on the Data Radicals podcast are any indication, good CDOs—and good leaders—know that building a data culture requires a strategy that looks far beyond just the data. Tip #1: A Good Data Strategy Starts With People. It goes bad very, very quickly.

Data Strategy 52

Data Strategy Strategy Sales Data-driven 52

BI-Survey

DECEMBER 22, 2020

Managers see data as relevant in the context of digitalization, but often think of data-related problems as minor details that have little strategic importance. Thus, it is taken for granted that companies should have a data strategy. But what is the scope of an effective strategy and who is affected by it?

Data-driven 52

Data-driven Data Strategy Strategy Enterprise 52

erwin

JANUARY 17, 2020

Companies that want to advance artificial intelligence (AI) initiatives, for instance, won’t get very far without quality data and well-defined data models. With the right approach, data modeling promotes greater cohesion and success in organizations’ data strategies. But what is the right data modeling approach?

Data-driven 138

Data-driven Modeling Metadata Data Governance 138

CIO Business Intelligence

APRIL 8, 2025

Like software, data products should have versioning and changelogs to track evolution and impact. Publish metadata, documentation and use guidelines. Make it easy to discover, understand and use data through accessible catalogs and standardized documentation.

Data Quality 102

Data Quality Data-driven Key Performance Indicator Metadata 102

Smart Data Collective

JULY 26, 2023

Big data has become an invaluable aspect to most modern businesses. Nevertheless, many companies have been reluctant to Harvard Business Review reports that only 30% of businesses have a data strategy. However, companies with data strategies are far more successful than those without.

Data-driven 97

Data-driven Management Big Data Sales 97

TDAN

MARCH 17, 2020

Top Data Management Problems The modern world functions on information. A primary aspect of data management is digitizing large amounts of documents, books, and reports that have been collected for hundreds of years. The Great Volume of Data The more that data is digitized and […].

Machine Learning 119

Machine Learning Management Reporting Data Strategy 119

CIO Business Intelligence

MARCH 19, 2025

When I joined RGA, there was already a recognition that we could grow the business by building an enterprise data strategy. We were already talking about data as a product with some early building blocks of an enterprise data product program. What was your approach to generating the mindset necessary to get this done?

Metrics 64

Metrics Enterprise Cost-Benefit Experimentation 64

Alation

MAY 10, 2021

Implementing a data catalog enhances an organization’s data management and allows for the democratization of that data But how are data catalogs implemented? In phase one, an enterprise must create a data strategy , which will inform later plans. Build a Data Strategy (Phase One).

Strategy 80

Strategy Enterprise Data Strategy Data Governance 80

AWS Big Data

SEPTEMBER 13, 2024

In recent years, driven by the commoditization of data storage and processing solutions, the industry has seen a growing number of systematic investment management firms switch to alternative data sources to drive their investment decisions. The bulk of our data scientists are heavy users of Jupyter Notebook. or later.

Interactive 109

Interactive Strategy Cost-Benefit Data Governance 109

CIO Business Intelligence

FEBRUARY 9, 2024

One of those data sources is the Next Generation Stats System (NGS), which captures real-time location, speed, and acceleration data for every player. million video frames and documents about 100 million locations and positions of players on the field. During each week of games, Digital Athlete captures and processes 6.8

Recreation/Entertainment 134

Recreation/Entertainment Data-driven Risk Digital Transformation 134

AWS Big Data

OCTOBER 30, 2024

For more details on this feature, see the Iceberg MERGE INTO syntax documentation. His focus areas are MLOps, feature stores, data lakes, model hosting, and generative AI. Anoop Kumar K M is a Data Architect at AWS with focus in the data and analytics area. format(add_column)).select("DATA_TYPE").toPandas().iterrows())[0]

Data Lake 105

Data Lake Data Processing Optimization Machine Learning 105

CIO Business Intelligence

MARCH 21, 2022

Unfortunately, they have fallen behind when it comes to automation and data integration practices, despite industry-wide recognition of the merits associated with an effective data strategy,” said Wayne Johnson , CEO & Founder of Encompass.

Data-driven 116

Data-driven IT Finance Forecasting 116

AWS Big Data

OCTOBER 25, 2023

Text, images, audio, and videos are common examples of unstructured data. Most companies produce and consume unstructured data such as documents, emails, web pages, engagement center phone calls, and social media. Amazon Textract – You can use this ML service to extract metadata from scanned documents and images.

Unstructured Data 133

Unstructured Data Metadata Management Analytics 133

AWS Big Data

FEBRUARY 29, 2024

Data is your generative AI differentiator, and a successful generative AI implementation depends on a robust data strategy incorporating a comprehensive data governance approach. Data governance is a critical building block across all these approaches, and we see two emerging areas of focus.

Data Governance 124

Data Governance Unstructured Data Metadata Data Lake 124

Sisense

SEPTEMBER 12, 2019

A business intelligence strategy is a blueprint that enables businesses to measure their performance, find competitive advantages, and use data mining and statistics to steer the business towards success. . Every company has been generating data for a while now. The question is, what are you doing with it?

Strategy 81

Strategy Dashboards Diagnostic Analytics Prescriptive Analytics 81

Sisense

AUGUST 28, 2019

What does it mean for your data? Let’s dive into what you should consider in a BI platform to ensure you’re protecting and future-proofing your company’s data strategy. But they come at the cost of true consumer flexibility — and your company’s ability to confidently invest in a cloud-agnostic data strategy.

Analytics 73

Analytics Data Strategy Strategy Data Architecture 73

CIO Business Intelligence

APRIL 8, 2024

Digital Athlete draws data from players’ radio frequency identification (RFID) tags, 38 5K optical tracking cameras placed around the field capturing 60 frames per second, and other data such as weather, equipment, and play type. million video frames and documents about 100 million locations and positions of players on the field.

Analytics 118

Analytics Broadcasting Predictive Analytics Machine Learning 118

IBM Big Data Hub

FEBRUARY 9, 2023

Building a data governance program is an iterative and incremental process Step 1: Define your data strategy and data governance goals and objectives What are the business objectives and desired results for your organization?

Data Governance 76

Data Governance Business Objectives Data Quality Measurement 76

CIO Business Intelligence

JANUARY 24, 2024

There’s also investment in robotics to automate data feeds into virtual models and business processes. We’re piloting a way to do automated payments to subcontractors based on work in place that’s been identified with photo and video documentation,” Higgins-Carter says. Put your data strategy in business turns.

Risk Management 118

Risk Management Risk Management Digital Transformation 118

Cloudera

NOVEMBER 30, 2020

The framework incorporates seven foundational principles designed to ensure organizations gain a sustainable competitive advantage by preventing privacy infractions and data breaches from occurring, right from the outset. . Data Strategy . Define a data strategy, classify sensitive data, and document how it is used.

Data Strategy 68

Data Strategy Strategy Data Architecture Risk 68

Alation

OCTOBER 5, 2021

Yet, so many companies today are still failing miserably in implementing data strategy and governance protocols. Why is your data governance strategy failing? So, why is YOUR data governance strategy failing? Common data governance challenges. Top 3 Roadblocks to Successful Data Governance.

Data Governance 96

Data Governance Strategy Data Quality Metrics 96

CIO Business Intelligence

OCTOBER 13, 2023

A sampling of data architect job descriptions shows key areas of responsibility such as: creating a DataOps and BI transformation roadmap, developing and sustaining a data strategy, implementing and optimizing physical database design, and designing and implementing data migration and integration processes.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

AWS Big Data

APRIL 19, 2023

This allows for a new way of thinking and new organizational elements—namely, a modern data community. However, today’s data mesh platform contains largely independent data products. Even with well-documented data products, knowing how to connect or join data products is a time-consuming job.

Technology 105

Technology Data-driven Machine Learning Sales 105

Andrew White

NOVEMBER 1, 2019

Only 3 years ago (see Data and Analytics Strategies Need More-Concrete Metrics of Success ) where we reviewed all the data strategies we had seen in the previous couple of years and less than 15% of them had concrete measurable outcomes. Most of these strategies were effectively based on faith, hope, and charity.

Strategy 56

Strategy Analytics Data-driven Data Strategy 56