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

CIO Business Intelligence

AUGUST 25, 2023

It’s around these four work streams that leading organizations are positioning themselves to mature their data strategies and, in doing so, answer not only today’s AI questions but tomorrow’s. You can’t wrangle AI by yourself. Because it’s fast, you can run proofs of concept for not massive investments.” That’s the way you want it.

Strategy 98

Strategy Data Strategy Experimentation Uncertainty 98

Sisense

APRIL 6, 2020

Your data teams and analytic platforms will be key to navigating times of growing uncertainty. Below we explore the evolving needs of data and analytics through the lens of crisis management in the retail industry. Tracking rapidly changing circumstances.

Analytics 98

Analytics Dashboards KPI Data-driven 98

Sisense

MARCH 24, 2020

Now is the time to apply the full force of business intelligence used by analytics teams to help navigate growing uncertainty. Three clear opportunities are ripe to collect, analyze, and act on data: Maximize revenues: Identify drivers to increase sales by evaluating existing customers and processes.

Analytics 94

Analytics Sales Forecasting Business Intelligence 94

Cloudera

SEPTEMBER 29, 2021

In a world rife with uncertainty, governments need to ensure that their citizens’ health and well-being are taken care of even as they seek to keep their economies afloat. Governments need to ensure that a sound data strategy is at the core of their digital transformation journeys to reap its full benefits. .

Digital Transformation 83

Digital Transformation Data Governance Data-driven Machine Learning 83

Sisense

SEPTEMBER 9, 2019

Full circle data experience: achieved. If you’re considering a similar investment in your company’s data strategy, there are a few lessons we learned along the way: Be open to false starts with data modeling. Like any other data project, it won’t be instantly clear what your data model should look like.

Predictive Analytics 75

Predictive Analytics Predictive Modeling Data-driven Forecasting 75

Jet Global

DECEMBER 31, 2019

Among several services my organization provides; we help individuals, enterprises, and public agencies plan, prepare, and manage through the uncertainty, demands, and challenges of the future. Every business today is a technology business and the fuel that largely powers it is data. What kinds of challenges do they face along the way?

Digital Transformation 59

Digital Transformation Finance Experimentation Data-driven 59

CIO Business Intelligence

MARCH 29, 2022

Duplication of data also entails duplication of effort, which is an additional cost. And the problem is not just a matter of too many copies of data. Approximately duplicated data sets may introduce uncertainty about data quality. Reducing data waste.

Cost-Benefit 52

Cost-Benefit Machine Learning Metadata Data Quality 52

bridgei2i

OCTOBER 20, 2021

But we consider the situation in view, because there is a lot of volatility and uncertainty in the market, we see that, you know, AI would disrupt the CPG industry in the next two to three years, a lot of solutions will be onboarded. and data strategy. We have seen that, you know, digital payment, like, you know.

Manufacturing 98

Manufacturing Enterprise IoT Technology 98

Alation

JUNE 14, 2023

Every organization wants to better serve its customers, and that goal is often achieved through data. One of the critical points for Nicola is “many companies are finding that individuals or teams in the organization can be quite hesitant to accept ownership, such as domain or data product ownership. That’s a problem!

Data-driven 52

Data-driven Finance Uncertainty Data Warehouse 52

Alation

MAY 12, 2022

Or, rather, every successful company these days is run with a bias toward technology and data, especially in the manufacturing industry. With so much economic uncertainty, coupled with the unrelenting advance of “Industry 4.0” Integrate a defensive and offensive data strategy. Every company is a technology company.

Manufacturing 52

Manufacturing Data Governance Cost-Benefit IoT 52

Occam's Razor

APRIL 15, 2019

It is not hard to see that a modern large corporation is likely missing out on the benefits of all they should know about their business through data. It also results in a depressing existence for data people. Short-term, this let’s not listen to the negative data strategy sometimes actually works. Long-term…. : (.

Measurement 80

Measurement Strategy Data Processing Uncertainty 80

CIO Business Intelligence

FEBRUARY 25, 2025

Typically, election years bring fear, uncertainty, and doubt, causing a slowdown in hiring, Doyle says. CIOs must be able to turn data into value, Doyle agrees. Most organizations are currently at the data integration, data governance, and data strategy level, so they need to hire the right CIO to advance those areas.

Uncertainty 126

Uncertainty Cost-Benefit Data-driven Marketing 126