Dataversity

DECEMBER 7, 2022

Notwithstanding the supply chain issues that continue to pose challenges, 94% of respondents in a recent McKinsey survey said that Industry 4.0 When COVID-19 threatened to derail the manufacturing industry, it was Industry 4.0 that saved many manufacturers. helped them keep their operations running during the pandemic.

Supply Chain 130

Supply Chain Cloud Computing Data Architecture Data Management 130

Dataversity

OCTOBER 28, 2022

Over the past year, inflation, supply chain delays, cybercrime, transitions to remote work, and the Great Resignation have all drastically altered the business world, forcing enterprises to reevaluate and future-proof their IT infrastructure. Now more than ever, business success relies on an agile cyber asset management strategy.

Supply Chain 130

Supply Chain Agile Cloud Computing Data Architecture 130

BizAcuity

APRIL 14, 2022

They tell you how big data helped them create a mark in today’s world. FedEx along with the data of orders, merges these with weather and traffic data. Tesla is another company that picks up data from their cars and also analyzes traffic and weather. With big data, brands want to improve their value offerings.

Big Data 130

Big Data Data Analytics Data Analytics Data Management 130

Dataversity

DECEMBER 6, 2021

Data is the backbone of many industries – supply chain functions, AI development and operation, smart manufacturing, and customer engagement in the retail industry, just to name a few – and the recent uptick in data usage means companies are finding ways to capitalize on actionable insights.

Supply Chain 130

Supply Chain Retail Data Architecture 130

Dataversity

SEPTEMBER 29, 2021

In fact, research from McKinsey found that companies accelerated their timelines for digitizing their customer, supply chain, and internal operations processes by three to four years. […]. The post R.I.P. Rip and Replace: How Process Automation Enables Digital Transformation appeared first on DATAVERSITY.

Digital Transformation 130

Digital Transformation Digital Supply Chain Data Architecture 130

Dataversity

DECEMBER 22, 2020

The emergency transition to work from home, significant changes in customer behavior, supply chain challenges, and existing pent-up digital transformation projects created a rapid-migration Voltron for many teams. Click to learn more about author Patrick Hubbard. There’s been amazing delivery on the part of […].

Supply Chain 130

Supply Chain Digital Transformation Digital Planning 130

Tableau

MAY 19, 2021

Tried and true techniques are becoming obsolete as consumer expectations evolve, demand volatility rises, and supply chain disruptions become more frequent. Retailers are also dealing with online shopping surges that add new complexities to existing data strategies due to an influx of raw, unprepped, and largely underutilized data. .

Retail 63

Retail Supply Chain Agile Data Architecture 63

Tableau

MAY 19, 2021

Tried and true techniques are becoming obsolete as consumer expectations evolve, demand volatility rises, and supply chain disruptions become more frequent. Retailers are also dealing with online shopping surges that add new complexities to existing data strategies due to an influx of raw, unprepped, and largely underutilized data. .

Retail 52

Retail Supply Chain Agile Data Architecture 52

Clarasys

MARCH 3, 2022

Are there PR or supply chain risks? The supermarket might also give responsibility for sustainability to the head of procurement, as this person will make sure every organisation in the supply chain shares similar values and is taking responsibility for its own emissions. Do you risk alienating your customers?

Supply Chain 52

Supply Chain Procurement Data Architecture Government 52

Tableau

FEBRUARY 14, 2022

Let’s look at a few focus areas of a people-centric strategy to help you achieve trusted data and successful AI projects: your data architecture, the processes for managing governed data, and balancing the roles of people and machines. Lay a strong foundation with your data architecture. “I

Chief Data Officer 74

Chief Data Officer Supply Chain Government Data Architecture 74

Tableau

FEBRUARY 14, 2022

Let’s look at a few focus areas of a people-centric strategy to help you achieve trusted data and successful AI projects: your data architecture, the processes for managing governed data, and balancing the roles of people and machines. Lay a strong foundation with your data architecture. “I

Chief Data Officer 72

Chief Data Officer Supply Chain Government Data Architecture 72

Clarasys

MARCH 31, 2022

Are there PR or supply chain risks? The supermarket might also give responsibility for sustainability to the head of procurement, as this person will make sure every organisation in the supply chain shares similar values and is taking responsibility for its own emissions. Do you risk alienating your customers?

Procurement 52

Procurement Supply Chain Data Architecture Government 52

Astera

MAY 6, 2024

Data mining tools help organizations solve problems, predict trends, mitigate risks, reduce costs, and discover new opportunities. Process Optimization: Data mining tools help identify bottlenecks, inefficiencies, and gaps in business processes.

Data Mining 52

Data Mining Supply Chain Data Quality Visualization 52

Tableau

AUGUST 6, 2021

The goal here is to make data accessible and traceable while deterring unwanted behavior, such as having users share data outside of governed channels because they felt the access was too restrictive. . Cloud services include features for governance and data management, supported by automated policies.

Cloud Computing 98

Cloud Computing Government Supply Chain Data Governance 98

Insight Software

MARCH 4, 2024

Technology teams often jump into SAP data systems expecting immediate, quantifiable ROI. However, this optimism often overlooks the reality of the situation: complex data architecture, mountains of manual tasks, and hidden inefficiencies in processing. Visions of cost savings and efficiency gains dance in their minds.

IBM cost 52

IBM cost IBM Support IBM Maintenance Supply Chain 52

Astera

MAY 31, 2024

Data analytics is used to process customer data, applying clustering algorithms to group customers based on shared characteristics. Supply Chain Optimization: Data analytics can help you scrutinize inventory levels, supplier performance, and delivery times. Enhance your data architecture with minimal effort.

Data Analytics 52

Data Analytics Data Analytics Data Warehouse Healthcare 52

Tableau

AUGUST 6, 2021

The goal here is to make data accessible and traceable while deterring unwanted behavior, such as having users share data outside of governed channels because they felt the access was too restrictive. Cloud services include features for governance and data management, supported by automated policies.

Cloud Computing 52

Cloud Computing Government Supply Chain Data Governance 52

Astera

DECEMBER 21, 2022

Most cloud data warehousing solutions also provide pay-as-you-go services which are preferred by businesses that are new to the world of data warehousing, and unsure of what they need. 6 Benefits of Cloud Data Warehousing.

Data Warehouse 52

Data Warehouse Supply Chain Business Intelligence Business Intelligence 52

Insight Software

JULY 28, 2023

Make sure your data environment is good-to-go. Meaning, the solutions you think about should mesh with your current data architecture. Plan how you will deliver and iterate these within your application. These must be flexible enough to meet the changing demands of users.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52

The Data Administration Newsletter

JANUARY 5, 2022

The world now runs on Big Data. Defined as information sets too large for traditional statistical analysis, Big Data represents a host of insights businesses can apply towards better practices. But what exactly are the opportunities present in big data? In manufacturing, this means opportunity.

Big Data 89

Big Data Supply Chain Data Architecture 89

Insight Software

MAY 1, 2023

Data Environment First off, the solutions you consider should be compatible with your current data architecture. We have outlined the requirements that most providers ask for: Data Sources Strategic Objective Use native connectivity optimized for the data source.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52