CIO Business Intelligence

DECEMBER 29, 2023

The most pressing responsibilities for CIOs in 2024 will include security, cost containment, and cultivating a data-first mindset.” Among the various strategies at our disposal, automation stands out as a pivotal solution,” she says. “In Here, we detail those and others that comprise eight of the top priorities for CIOs in 2024.

Cost-Benefit 129

Cost-Benefit Digital Transformation Consulting Strategy 129

IBM Big Data Hub

DECEMBER 5, 2023

Generative AI excels at handling diverse data sources such as emails, images, videos, audio files and social media content. This unstructured data forms the backbone for creating models and the ongoing training of generative AI, so it can stay effective over time. The impact of these investments will become evident in the coming years.

Unstructured Data 90

Unstructured Data Cost-Benefit Experimentation Machine Learning 90

CIO Business Intelligence

FEBRUARY 7, 2024

Stephen Franchetti, CIO of Samsara, a fleet management SaaS provider that went public in 2021, believes the only way to optimize your AI strategy (or any emerging technology strategy, in fact) is with a bottoms-up approach. Clean up your enterprise data : Without clean data, your AI results will be limited.

KPI 85

KPI Measurement Experimentation Finance 85

Cloudera

APRIL 9, 2019

of application workloads were still on-premises in enterprise data centers; by the end of 2017, less than half (47.2%) were on-premises. A hybrid, multi-cloud strategy is the best approach to managing these distributed, heterogeneous data ecosystems. Enterprises are moving to the cloud. In 2016, 60.9% Future proof.

Strategy 54

Strategy Experimentation Metadata Business Objectives 54

Cloudera

OCTOBER 18, 2023

In fact, some of the insights presented in this blog have been assisted by the power of large language models (LLMs), highlighting the synergy between human expertise and AI-driven insights. Although this list is not exhaustive, I’ve provided an at-a-glance aggregate of use cases for quick wins, quicker wins, and longer-term strategies.

Cost-Benefit 79

Cost-Benefit Testing Machine Learning Optimization 79

AWS Big Data

JUNE 12, 2024

Swisscom’s Data, Analytics, and AI division is building a One Data Platform (ODP) solution that will enable every Swisscom employee, process, and product to benefit from the massive value of Swisscom’s data. The following high-level architecture diagram shows ODP with different layers of the modern data architecture.

Data Architecture 92

Data Architecture Cost-Benefit Experimentation Management 92

CIO Business Intelligence

MAY 12, 2022

The tools include sophisticated pipelines for gathering data from across the enterprise, add layers of statistical analysis and machine learning to make projections about the future, and distill these insights into useful summaries so that business users can act on them. Visual IDE for data pipelines; RPA for rote tasks. Highlights.

Predictive Analytics 137

Predictive Analytics Analytics Statistics Machine Learning 137

CIO Business Intelligence

OCTOBER 1, 2022

The partners say they will create the future of digital manufacturing by leveraging the industrial internet of things (IIoT), digital twin , data, and AI to bring products to consumers faster and increase customer satisfaction, all while improving productivity and reducing costs. Smart manufacturing at scale is a challenge.

Manufacturing 143

Manufacturing Digital Transformation IoT Internet of Things 143

datapine

JANUARY 31, 2022

Because things are changing and becoming more competitive in every sector of business, the benefits of business intelligence and proper use of data analytics are key to outperforming the competition. BI software uses algorithms to extract actionable insights from a company’s data and guide its strategic decisions.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

DataKitchen

APRIL 13, 2021

This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. Companies that implement DataOps find that they are able to reduce cycle times from weeks (or months) to days, virtually eliminate data errors, increase collaboration, and dramatically improve productivity.

Testing 300

Testing Machine Learning Consulting Data Quality 300

O'Reilly on Data

MARCH 31, 2020

This means that the AI products you build align with your existing business plans and strategies (or that your products are driving change in those plans and strategies), that they are delivering value to the business, and that they are delivered on time. Why AI software development is different. Machine learning adds uncertainty.

Management 339

Management Machine Learning Experimentation Metrics 339

CIO Business Intelligence

DECEMBER 14, 2023

At yet when it is home to many of your company’s assets, as is the case for ConocoPhillips, sometimes the best IT strategy is to bring technologies closer to the edge. So Mathur and De Bernardi put together a cross-functional team to develop a strategy that would rely heavily on partnerships across the company.

Manufacturing 71

Manufacturing Digital Transformation Experimentation Cost-Benefit 71

CIO Business Intelligence

MAY 30, 2024

Case in point is its new conversational assistant copilot, AlpiGPT an internal search engine of corporate data that can personalize travel packages and quickly answer questions, says company CIO, Francesco Ciuccarelli. Employees are even calling it a trusted colleague. In this context, generative AI is a very useful support to create content.”

Cost-Benefit 108

Cost-Benefit Sales Modeling Experimentation 108

CIO Business Intelligence

FEBRUARY 21, 2023

As part of Heineken’s 2021 EverGreen strategy to commit to future-proof the organization, adapt to market dynamics, and emerge stronger from the pandemic, there’s the objective to digitally transform the business and its relations with stakeholders. There’s also a growing emphasis on improving team performance.

Digital Transformation 91

Digital Transformation Sales Experimentation Optimization 91

Domino Data Lab

OCTOBER 14, 2020

Guest post by Jeff Melching, Distinguished Engineer / Chief Architect Data & Analytics. We’ve developed a model-driven software platform, called Climate FieldView , that captures, visualizes, and analyzes a vast array of data for farmers and provides new insight and personalized recommendations to maximize crop yield.

Experimentation 99

Experimentation Deep Learning Modeling Testing 99

Occam's Razor

JANUARY 7, 2014

First… it is important to realize that big data's big imperative is driving big action. 7: 25% of all analytical effort is dedicated to data visualization/enhancing data's communicative power. #6: Reporting Squirrels spend 75% or more of their time in data production activities.

Data-driven 140

Data-driven Consulting Reporting Marketing 140

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. A marketing report is a set of data created to analyze the performance of a specific marketing campaign or effort. What Is A Marketing Report? How To Write A Marketing Report?

Reporting 280

Reporting Marketing Advertising Metrics 280

Ontotext

JULY 6, 2023

In today’s fast changing environment, enterprises that have transitioned from being focused on applications to becoming data-driven gain a significant competitive edge. There are four groups of data that are naturally siloed: Structured data (e.g., Transaction and pricing data (e.g.,

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

AWS Big Data

NOVEMBER 14, 2023

Data is a key strategic asset for every organization, and every company is a data business at its core. However, in many organizations, data is typically spread across a number of different systems such as software as a service (SaaS) applications, operational databases, and data warehouses.

IoT 55

IoT Data-driven Data Lake Data Strategy 55

CIO Business Intelligence

JUNE 28, 2023

These circumstances have induced uncertainty across our entire business value chain,” says Venkat Gopalan, chief digital, data and technology officer, Belcorp. “As The R&D laboratories produced large volumes of unstructured data, which were stored in various formats, making it difficult to access and trace.

Digital Transformation 82

Digital Transformation Cost-Benefit Informatics Data mining 82

Octopai

OCTOBER 26, 2022

Data-driven organizations are a bad idea. Using data to drive your organization is wonderful. But data, at best, can only be a powerful vehicle, or a reliable GPS system. Except sometimes we call organizations “data-driven” when really the data is driving them up the wall. And it should be.

Data Quality 52

Data Quality Data Analytics Analytics Manufacturing 52

AWS Big Data

JULY 20, 2023

With data becoming the driving force behind many industries today, having a modern data architecture is pivotal for organizations to be successful. In this post, we describe Orca’s journey building a transactional data lake using Amazon Simple Storage Service (Amazon S3), Apache Iceberg, and AWS Analytics.

Data Lake 87

Data Lake Analytics Snapshot Optimization 87

Ontotext

NOVEMBER 2, 2023

Achieving this advantage is dependent on their ability to capture, connect, integrate, and convert data into insight for business decisions and processes. This is the goal of a “data-driven” organization. We call this the “ Bad Data Tax ”. This is partly because integrating and moving data is not the only problem.

IT 69

IT Cost-Benefit Data-driven Technology 69

Domino Data Lab

JULY 2, 2019

Paco Nathan ‘s latest article covers program synthesis, AutoPandas, model-driven data queries, and more. In other words, using metadata about data science work to generate code. In this case, code gets generated for data preparation, where so much of the “time and labor” in data science work is concentrated.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

Occam's Razor

DECEMBER 12, 2016

There is, almost literally, an unlimited number of things you could focus on to create a high impact data-influenced organization. How do you ensure that your can zig-zag with business strategy? You live or die by the data you collect, and the quality of that data. Data quality plays a role into this. So beautiful.

Analytics 141

Analytics Data-driven Strategy Consulting 141

Occam's Razor

OCTOBER 23, 2006

The title of my presentation at the Washington DC Emetrics summit was: Creating a Data Driven Web Decision Making Culture – Lessons, Tips, Insights from a Practitioner. Seven Steps to Creating a Data Driven Decision Making Culture…… Slide 1: Decision Making Landscape. 2 Solve for the Trinity. #

Data-driven 117

Data-driven Metrics KPI Reporting 117

Domino Data Lab

FEBRUARY 12, 2020

This post is for people making technology decisions, by which I mean data science team leads, architects, dev team leads, even managers who are involved in strategic decisions about the technology used in their organizations. Suppose you have an “expensive” function to run repeatedly over data records. If your team has started using ?

Experimentation 137

Experimentation Modeling Data Science Management 137

Corinium

APRIL 25, 2019

Ahead of the Chief Data Analytics Officers & Influencers, Insurance event we caught up with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity to discuss how the industry is evolving. The last 10+ years or so have seen Insurance become as data-driven as any vertical industry. Yes, definitely!

Insurance 150

Insurance Risk IoT Cost-Benefit 150

Domino Data Lab

JANUARY 24, 2019

In 2018 we saw the “data science platform” market rapidly crystallize into three distinct product segments. Over the last couple years, it would be hard to blame anyone for being overwhelmed looking at the data science platform market landscape. Proprietary (often GUI-driven) data science platforms. Automation Tools.

Data Science 65

Data Science Marketing Data-driven Statistics 65

Sisense

NOVEMBER 23, 2020

The global pandemic has driven home the fact that data is vital to the success of every organization. Sisense recently surveyed over 460 companies across Australia and New Zealand to dig into their data and analytics usage and future plans. Who is leading the way?

Analytics 98

Analytics Data-driven Marketing Reporting 98

Occam's Razor

JULY 24, 2018

Even simple questions like “ How effective is our analytics strategy? Soon, your digital analytics strategic framework that you hoped would provide a true north to the analytics strategy question looks like this …. Consequently, we lose sight of where we are, how we are doing and which direction is true north.

Analytics 93

Analytics Metrics Strategy Measurement 93

AWS Big Data

OCTOBER 4, 2023

Amazon DataZone enables customers to discover, access, share, and govern data at scale across organizational boundaries, reducing the undifferentiated heavy lifting of making data and analytics tools accessible to everyone in the organization. This is challenging because access to data is managed differently by each of the tools.

Metadata 100

Metadata Data Lake Publishing Data Governance 100

CIO Business Intelligence

MAY 9, 2024

Its ability to automate routine processes and provide data-driven insights helps create a conducive environment for deep work. Experimentation drives momentum: How do we maximize the value of a given technology? Via experimentation. AI changes the game. It’s like “fail fast” for genAI projects.

Enterprise 95

Enterprise Experimentation Sales Optimization 95

IBM Big Data Hub

JANUARY 17, 2023

Due to the convergence of events in the data analytics and AI landscape, many organizations are at an inflection point. Furthermore, a global effort to create new data privacy laws, and the increased attention on biases in AI models, has resulted in convoluted business processes for getting data to users. Data governance.

Data-driven 56

Data-driven Enterprise Data Governance Prescriptive Analytics 56

AWS Big Data

MARCH 20, 2023

We discuss how to create such a solution using Amazon Kinesis Data Streams , Amazon Managed Streaming for Kafka (Amazon MSK), Amazon Kinesis Data Analytics for Apache Flink ; the design decisions that went into the architecture; and the observed business benefits by Poshmark.

Analytics 52

Analytics Slice and Dice Data Processing Data Lake 52

Occam's Razor

OCTOBER 12, 2017

The tiny downside of this is that our parents likely never had to invest as much in constant education, experimentation and self-driven investment in core skills. Years and years of practice with R or "Big Data." Optimal Starting SCOTUS Starting Points. This reality powers my impostor syndrome, and (yet?)

Marketing 136

Marketing Analytics Machine Learning Strategy 136

Occam's Razor

MAY 27, 2015

In a recent set of keynotes and consulting engagements in the US, UK and Canada, I've had an overwhelming feeling that in very fundamental ways some companies make imprecise choices when it comes to their digital strategy. Here are the digital myths that are leading us down a profoundly sub-optimal path: 1. The web is dead.

Marketing Analytics 153

Marketing Analytics Marketing Analytics Advertising 153