erwin

AUGUST 13, 2020

managing risk vs ROI and emerging countries)? Compliance and Legislation : How do we manage uncertainty around legislative change (e.g., data protection, personal and sensitive data, tax issues and sustainability/carbon emissions)? Data Overload : How do we find and convert the right data to knowledge (e.g.,

Enterprise 143

Enterprise Cost-Benefit Uncertainty ROI 143

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. This resulted in staff spending more time on more complex tasks while also reducing human errors and security risks. Providing more value to citizens through data.

Digital Transformation 81

Digital Transformation Data Governance Data-driven Uncertainty 81

CIO Business Intelligence

APRIL 6, 2022

If anything, the past few years have shown us the levels of uncertainty we are facing. Infosys Living labs is a set of well-orchestrated innovation services for future-proofing customer businesses and de-risking their emerging technology transformations.

Experimentation 103

Experimentation Data Lake Uncertainty Enterprise 103

erwin

OCTOBER 16, 2020

And this time sensitivity is a massive issue, as taking a proactive and data-driven approach can literally mean life or death to your business or to your customers. And that’s where data analytics can play a huge role. What holds most companies back from faster time to insights and leveraging radical transformation?

Internet of Things 145

Internet of Things Data-driven Uncertainty Data Governance 145

DataKitchen

OCTOBER 2, 2023

With this information, data teams can know if everything ran on time and without errors and immediately identify the parts that didn’t. Journeys provide a context for understanding and observing complex elements across and down a data analytic system.

Data Quality 100

Data Quality Testing Uncertainty Data Enablement 100

Smart Data Collective

MARCH 21, 2022

More case studies are added every day and give a clear hint – data analytics are all set to change, again! . Data Management before the ‘Mesh’. In the early days, organizations used a central data warehouse to drive their data analytics. This is also true that decentralized data management is not new.

Management 66

Management Data Lake Uncertainty Data Warehouse 66

bridgei2i

JULY 8, 2020

They discuss the impact of the pandemic on enterprises and the need to adopt parallel windows – a short term window to get an enterprise’s operational system up and running as effectively as possible, and a medium-term outlook to mitigate the supply chain shocks and risks. Tune in, and don’t forget to subscribe!

Digital Transformation 132

Digital Transformation Enterprise Insurance Risk 132

Jet Global

OCTOBER 8, 2020

It also decreases the risk of errors by eliminating disjointed, manual processes. Tip 3: Make decisions with operational data. Operational, or non-financial, data enables CFOs to look further out and predict future demand for goods and service, manage costs, or reforecast inbound delivery schedules.

Finance 98

Finance Reporting Forecasting Metrics 98

Cloudera

OCTOBER 21, 2020

New processes, research, and data analytics are under pressure to help identify what should be paid, and what should not. Insurance companies are dealing with a more complicated landscape that is simultaneously evolving, and rife with uncertainty. . After all, at its core, insurance is a data business. Health data.

Insurance 72

Insurance Unstructured Data Digital Transformation Cost-Benefit 72

Cloudera

MARCH 2, 2018

The private sector already very successfully uses data analytics and machine learning not only to realise efficiency gains but also – even more importantly – to create completely new services and business models. Identify those most at risk or most affected by a problem more accurately by using predictive analytics.

Data-driven 43

Data-driven Prescriptive Analytics Descriptive Analytics Machine Learning 43

bridgei2i

MAY 4, 2020

Anirban believes that insurers can make the best of the situation by adopting digital practices with AI-tools to stay resilient in the face of uncertainty. And last but not least, insurers are changing their products and underwriting strategy to mitigate this increased risk. Tune in for more details and subscribe now! Subscribe Now.

Insurance 95

Insurance Enterprise Sales Digital Transformation 95

Smart Data Collective

JULY 31, 2022

Predictive analytics tools can be particularly valuable during periods of economic uncertainty. Predictive Analytics Helps Traders Deal with Market Uncertainty. We have talked about a lot of the benefits of using predictive analytics in finance. Analytics Vidhya, Neptune.AI

Predictive Analytics 134

Predictive Analytics Analytics Uncertainty Forecasting 134

Andrew White

APRIL 22, 2020

In this second phase executive leaders will need to make critical business decisions with even less data and with more uncertainty. Many highly leveraged firms will be at risk; debt will be at record levels in public and private so anyone who has cash will be predatory. Data, analytics and AI.

Software 52

Software Uncertainty Measurement Marketing 52

Jet Global

OCTOBER 10, 2023

Further, as the demand for accurate reports and financial predictions increases amid a volatile economy, companies risk employee burnout and turnover. While remote hiring may help address the skills shortage, collaboration becomes more difficult if such applications and data remain disconnected. That’s the power of the connect effect.

Finance 59

Finance Operational Reporting Reporting Forecasting 59

Domino Data Lab

JUNE 2, 2019

She had much to say to leaders of data science teams, coming from perspectives of data engineering at scale. And by “scale” I’m referring to what is arguably the largest, most successful data analytics operation in the cloud of any public firm that isn’t a cloud provider. Because of compliance. Worse than flipping a coin!

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

O'Reilly on Data

SEPTEMBER 11, 2019

Terms that relate to data engineering, data management, and data analytics dominate the top tiers of proposal topics. This is noteworthy for several reasons: first, the top three terms in our data set relate in one way or another to ML. In the third place, there’s uncertainty about what to do with all of this data.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

CIO Business Intelligence

FEBRUARY 12, 2024

4 Additionally, while 63% have guardrails in place to use AI safely, these organizations worry about its role in misinformation, ethical bias and job loss among other risks, Wavestone found. Data analytics collected every step of the way will help assess performance and find blind spots that can hinder progress.

IT 137

IT Consulting Cost-Benefit Uncertainty 137

Sisense

DECEMBER 13, 2021

Without leveraging this information, businesses can easily fall into the same patterns that can stunt growth–failing to attract new customers and even leaving themselves open to security risks. This insight can inform future partnerships, and reduce uncertainty about which services will be most relevant and useful.

Data-driven 59

Data-driven IT Business Intelligence Cost-Benefit 59

Jet Global

FEBRUARY 2, 2023

Due to the Infrastructure Investment and Jobs Act of 2022 in the United States, nonresidential construction is expected to continue expanding despite expected uncertainty in 2023. Get a Demo See how companies are getting live data from their ERP into Excel, and closing their books 4 days faster every month. Want to learn more?

Uncertainty 52

Uncertainty KPI Reporting Measurement 52

Jet Global

JULY 28, 2023

Understanding evolving market conditions and consumer behaviors in EMEA remains crucial for capitalizing on emerging opportunities and mitigating risks in this dynamic and competitive landscape. Here, we discuss how factors like market uncertainty and IT dependence impact finance teams throughout EMEA.

Finance 52

Finance Uncertainty Reporting Forecasting 52

Jet Global

MARCH 22, 2023

While state-by-state provisions allow for greater visibility into your liability and risk areas, this approach comes with its own challenges. Data requirements are expanding for state-by-state calculations including new apportionment considerations, tax rates, and regional modifications.

Reporting 52

Reporting Software Risk Enterprise 52

Jet Global

JULY 14, 2022

But you can mitigate risks of business cash flow problems by having the right tools at your side. Poor cash flow can prevent your company from being agile, which can hinder your opportunities to make investments, buy a competitor, or avoid risks. It allows a business to control the risk of not being paid on time or at all.

Finance 52

Finance Cost-Benefit Measurement Sales 52

Jet Global

AUGUST 31, 2022

Other elements of change include IFRS 16/17 and parallel modifications to lease accounting under US GAAP, political uncertainty, a push toward higher tax rates and increased enforcement, and rising inflation. BEPS represents a change in global taxation, but it isn’t the only change. Prioritize policy over numbers.

Software 52

Software Reporting Forecasting Management 52

Jet Global

JUNE 28, 2022

We’re also seeing greater volatility in global events, uncertainty in global trade policies, and more. The reputational risks associated with regulatory audits and last minute scrambles to complete tax returns are too great, and the upside for truly managing the ‘data behind the numbers’ is now simply too large to ignore.

Software 52

Software Forecasting Reporting Finance 52

Jet Global

OCTOBER 14, 2022

Siloing comes with its fair share of risks, such as: Disconnect between departments. A simple example of this would be that Sales holds data around which products sell fastest and trends in customer buying behavior. A missing value in the source data, for example, can result in numbers being pasted into the wrong rows.

Finance 52

Finance Reporting Operational Reporting Forecasting 52