Srividya Sridharan

SEPTEMBER 3, 2020

And data, analytics, and AI are going to drive this future. These capabilities are becoming more crucial to stay ahead of uncertainty and change and get smarter about every aspect of your business: your customers, your suppliers and partners, your competitors, your employees, your processes, your operations, and your markets.

Data Strategy 108

Data Strategy Strategy Uncertainty Marketing 108

CIO Business Intelligence

JUNE 28, 2022

Philosophers and economists may argue about the quality of the metaphor, but there’s no doubt that organizing and analyzing data is a vital endeavor for any enterprise looking to deliver on the promise of data-driven decision-making. And to do so, a solid data management strategy is key.

Management 132

Management Internet of Things Statistics Data-driven 132

CIO Business Intelligence

MARCH 25, 2022

Two years of pandemic uncertainty and escalating business risk have sharpened the focus of corporate boards on a technology trend once dismissed as just another IT buzzword. What’s great in what I see today is how much digital transformation is embedded into the fabric of the business strategy.

Digital Transformation 102

Digital Transformation Uncertainty Machine Learning Strategy 102

CIO Business Intelligence

APRIL 28, 2022

However, many financial services companies still prefer to build their own data centers rather than leverage cloud solutions. Much of this reluctance stems from the regulatory environment, arising from lengthy reviews and approvals processes, or even simple near-term regulatory uncertainty. .

Analytics 84

Analytics Insurance Big Data Uncertainty 84

Srividya Sridharan

SEPTEMBER 3, 2020

And data, analytics, and AI are going to drive this future. These capabilities are becoming more crucial to stay ahead of uncertainty and change and get smarter about every aspect of your business: your customers, your suppliers and partners, your competitors, your employees, your processes, your operations, and your markets.

Data Strategy 40

Data Strategy Strategy Uncertainty Marketing 40

Jen Stirrup

DECEMBER 14, 2018

December is a great time for setting personal and business goals for next year. I’d hoped for some downtime at this time of year, but I’ve picked up a crucial data science project which needs to be delivered over Christmas so there isn’t much downtime. Markets, and businesses, do not like uncertainty.

Consulting 56

Consulting Business Intelligence Data Science Marketing 56

AWS Big Data

AUGUST 7, 2023

Many businesses use different software tools to analyze historical data and past patterns to forecast future demand and trends to make more accurate financial, marketing, and operational decisions. Forecasting acts as a planning tool to help enterprises prepare for the uncertainty that can occur in the future.

Forecasting 84

Forecasting Data Warehouse Machine Learning Modeling 84

CIO Business Intelligence

JANUARY 4, 2023

In the HPC community, we recognize a need for tools to support machine learning operations and data science management; these tools must be able to scale and integrate with HPC software, compute and storage environments.

Cost-Benefit 59

Cost-Benefit Machine Learning Modeling Uncertainty 59

CIO Business Intelligence

DECEMBER 20, 2022

In the coming year, having a good read on customer needs will be crucial as many organizations battle resource constraints, challenging economic conditions, and continuing uncertainty when it comes to planning.

Uncertainty 85

Uncertainty Digital Transformation Optimization Enterprise 85

Jet Global

MARCH 2, 2021

In a quest to gain better access to information about their business, many real estate managers have sought out general-purpose business intelligence products like Microsoft Power BI or Tableau. Modern BI tools are generally geared toward data science and visualization.

Reporting 98

Reporting Slice and Dice Finance Operational Reporting 98

CIO Business Intelligence

JUNE 15, 2022

As a result, the IT group is faster and more flexible, recently deploying five new cloud services for data science and analytics developers to use within four hours —something that would have taken a cross-functional IT team several weeks to deploy in the past. Reining in application sprawl has also been valuable at Snow Software.

IT 144

IT Digital Transformation Technology Strategy 144

O'Reilly on Data

FEBRUARY 11, 2020

The responses show a surfeit of concerns around data quality and some uncertainty about how best to address those concerns. Key survey results: The C-suite is engaged with data quality. Provenance notes where the data in a data set came from; which transformations, if any, have been applied to it; and other technical minutiae.

Data Quality 311

Data Quality Metadata Data Governance Publishing 311

O'Reilly on Data

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

Peter James Thomas

AUGUST 12, 2018

By the time that people who need to take decisions based on such information are in the loop, the inherent uncertainty of the prediction may have disappeared. Why Business Intelligence projects fail” (2009). Ideas for avoiding Big Data failures and for dealing with them if they happen (2017). This can be problematic.

Metrics 49

Metrics Statistics Data Quality Measurement 49

CIO Business Intelligence

FEBRUARY 14, 2024

While the past few years have left us with a business landscape scarred by the impact of economic and geopolitical uncertainties, the current AI movement has become a rocket ship for significant transformative changes set to accelerate new opportunities.

Data-driven 72

Data-driven Uncertainty Enterprise Data Warehouse 72