Smart Data Collective

SEPTEMBER 4, 2020

Google has shown how to use big data effectively for decision-making , but many other companies don’t understand the principles to follow. Far too many businesses fail to develop a sensible data strategy, so their ROI from their data collection methodologies is often subpar. Guide to Creating a Big Data Strategy.

Data-driven 86

Data-driven Big Data Metrics Strategy 86

datapine

JANUARY 6, 2022

Yet, before any serious data interpretation inquiry can begin, it should be understood that visual presentations of data findings are irrelevant unless a sound decision is made regarding scales of measurement. Data analysis and interpretation, in the end, help improve processes and identify problems. What is the keyword?

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

datapine

OCTOBER 14, 2020

Soon businesses of all sizes will have so much amount of information that dashboard software will be the most invaluable resource a company can have. Visualizing the data and interacting on a single screen is no longer a luxury but a business necessity. Your Chance: Want to test interactive dashboard software for free?

Dashboards 235

Dashboards Interactive Reporting KPI 235

Domino Data Lab

MAY 15, 2019

Unfortunately, a common challenge that many industry people face includes battling “ the model myth ,” or the perception that because their work includes code and data, their work “should” be treated like software engineering. Product Management for Machine Learning. more probabilistic rather than deterministic).

Machine Learning 111

Machine Learning Management Experimentation Uncertainty 111

DataKitchen

MARCH 16, 2023

Under Quality, the Data Quality Incidents metric measures the average data quality of datasets, while the Active Daily Users metric measures user activity across data platforms. Other data leaders have tried to adapt the IT/software incident metrics world to the data world.

Metrics 130

Metrics Data Analytics Analytics Measurement 130

BA Learnings

AUGUST 7, 2021

In addition to that, the risk assessment will not be carried out properly, and you won’t know what pitfalls lie ahead until you’re already knee-deep in the problem. However, after putting in place infrastructure for this database, you realize you need to improve your data collection methods.

Digital Transformation 130

Digital Transformation Key Performance Indicator Cost-Benefit KPI 130

BizAcuity

FEBRUARY 22, 2019

Financial analytics is becoming an important and inherent part of software applications that are being used by event industry. Several technology companies are stepping up to address the explosion of data collections sources with an objective of improving their ROI by conducting successful events.

Analytics 75

Analytics Cost-Benefit Finance Sales 75

IBM Big Data Hub

AUGUST 28, 2023

Information retrieval The first step in the text-mining workflow is information retrieval, which requires data scientists to gather relevant textual data from various sources (e.g., The data collection process should be tailored to the specific objectives of the analysis.

Data mining 53

Data mining Machine Learning Deep Learning Marketing 53

IBM Big Data Hub

FEBRUARY 14, 2024

Generative AI can produce high-quality text, images and other content based on the data used for training. IBM Research is working to help its customers use generative models to write high-quality software code faster, discover new molecules , and train trustworthy conversational chatbots grounded on enterprise data.

Cost-Benefit 82

Cost-Benefit Insurance Unstructured Data Machine Learning 82

Sisense

SEPTEMBER 3, 2020

Overall, however, what often characterizes them is a focus on data collection, manipulation, and analysis, using standard formulas and methods, and acting as gatekeepers of an organization’s data. Data analysts might report to a CIO, a Chief Data Officer (CDO), or possibly to a data scientist or business analyst team leader.

Statistics 97

Statistics Metrics Visualization Finance 97

Jet Global

MAY 1, 2023

This is in contrast to traditional BI, which extracts insight from data outside of the app. Commercial vs. Internal Apps Any organization that develops or deploys a software application often has a need to embed analytics inside its application. These capabilities are to be made available inside the applications people use every day.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

IBM Big Data Hub

AUGUST 11, 2023

Implementing such solutions could be the key to a new era of productivity for your organization, but implementing new and expansive IT software can be intimidating. Choosing the right MES software: 12 things to think about Selecting manufacturing execution system (MES) software is a critical decision for any manufacturing organization.

Software 68

Software Manufacturing Cost-Benefit ROI 68

FineReport

MAY 31, 2023

Contemporary dashboards surpass basic visualization and reporting by utilizing financial analytics to amalgamate diverse financial and accounting data, empowering analysts to delve further into the data and uncover valuable insights that can optimize cost-efficiency and enhance profitability. Free Download of FineReport 1.

Dashboards 52

Dashboards Key Performance Indicator Metrics Visualization 52

Domino Data Lab

MAY 8, 2019

Software engineering made major breakthroughs two decades ago by applying reductionist techniques to project planning and management. The lens of reductionism and an overemphasis on engineering becomes an Achilles heel for data science work. Quick summary: there’s a persnickety problem. back to the structure of the dataset.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Domino Data Lab

FEBRUARY 4, 2019

Also, it helps us differentiate between process that’s apt for data science work and process for software engineering, i.e., Agile, Kanban, and so on. Articulating process for data science. The ability to measure results (risk-reducing evidence). Instead they require investment, tooling, and time for data collection.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Jet Global

MAY 15, 2020

This post will go over both the following explicit and implicit financial KPIs that you should be aware of, how they are calculated, and how financial reporting software can help simplify this process for your finance department: Operating Cash Flow. You have taken all this time to set goals, collect data, and compile it.

Metrics 98

Metrics Finance Reporting KPI 98

Alation

FEBRUARY 20, 2020

With an on-premise deployment, enterprises have full control over data security, data access, and data governance. Performance is more reliable, and there is wide array of mature software products at the enterprises’ disposal. earthquake, flood, or fire), where the data collected does not need to be as tightly controlled.

Data Lake 52

Data Lake ROI Metadata Cost-Benefit 52

CIO Business Intelligence

JANUARY 3, 2024

According to Rapos, early incorporation allows for better data collection, more accurate modeling, and immediate feedback during the construction or development phase. Ask the hard questions of the digital twin In addition to all of the above, it’s important to consider the ROI of the digital twin.

Cost-Benefit 121

Cost-Benefit ROI Manufacturing Optimization 121

Domino Data Lab

MARCH 3, 2019

Then, when we received 11,400 responses, the next step became obvious to a duo of data scientists on the receiving end of that data collection. Over the past six months, Ben Lorica and I have conducted three surveys about “ABC” (AI, Big Data, Cloud) adoption in enterprise.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

Domino Data Lab

JUNE 23, 2019

Skomoroch proposes that managing ML projects are challenging for organizations because shipping ML projects requires an experimental culture that fundamentally changes how many companies approach building and shipping software. You’re changing things fundamentally in how you build and ship software. Data is constantly changing.

Management 110

Management Machine Learning Experimentation Metrics 110

IBM Big Data Hub

SEPTEMBER 11, 2023

The bulk of these uncertainties do not revolve around what software package to pick or whether to migrate to the cloud; they revolve around how exactly to apply these powerful technologies and data with precision and control to achieve meaningful improvements in the shortest time possible.

Data-driven 85

Data-driven IT Measurement Cost-Benefit 85

Occam's Razor

MARCH 23, 2010

Having two tools guarantees you are going to be data collection, data processing and data reconciliation organization. You already have the paid analytics software combos mentioned above. Yet case studies in some sense reduced risk, even if they were simply over blown marketing fluff written by the vendor.

Analytics 118

Analytics Consulting Metrics Experimentation 118

Andrew White

JANUARY 9, 2022

You could also ask the Apps and Software Engineering teams as they are doing a lot with composability. How do you see next generation data management tools (governance, quality, catalogue, integration) incorporating AI/ML evolve in 2022 compare to traditional data tools? software) business capabilities from different vendors.

Analytics 64

Analytics Measurement Modeling Data-driven 64