Smart Data Collective

SEPTEMBER 27, 2022

Product planning teams that use the cloud have much more flexibility in managing their teams than those still using a suite of rigid tools with separate functions. Instead, product planning teams can use the cloud to communicate, collaborate, analyze, and make decisions in one centralized location. Reliable and Trusted Security.

Agile 336

Agile Planning Data Visualization Product Management 336

Sisense

APRIL 7, 2020

Dealing with Data is your window into the ways Data Teams are tackling the challenges of this new world to help their companies and their customers thrive. We live in an era of Big Data. The sheer amount of data being generated is greater than ever (we hit 18 zettabytes in 2018) and will continue to grow.

Big Data 86

Big Data Data Warehouse Product Management Product Management 86

Sisense

JANUARY 6, 2021

Once the data is flowing to your reports, you can tweak your presentations until they look and operate exactly how you want. Here are some of your options: Model: Blend big data from a variety of sources into Sisense machine learning algorithms. Tomer Lapid is a Product Manager for Sisense analytics and reporting.

Innovation 119

Innovation Visualization Data Visualization Product Management 119

Insight Software

MAY 14, 2021

Ray is a prominent and dynamic keynote speaker and research analyst working with clients on digital innovation, business model design, engagement strategies, customer experience, matrix commerce, and big data. He is also the host of DisrupTV , a weekly enterprise tech and leadership webcast. Twitter followers : 133,900.

Supply Chain 97

Supply Chain Innovation Project Management Change Management 97

Tableau

MARCH 30, 2021

Product Manager. we’ve added new connectors to help our customers access more data in Azure than ever before: an Azure SQL Database connector and an Azure Data Lake Storage Gen2 connector. As our customers increasingly adopt the cloud, we continue to make investments that ensure they can access their data anywhere.

Data Warehouse 102

Data Warehouse Big Data Product Management Product Management 102

Sisense

JANUARY 30, 2020

In Data-Powered Businesses , we dive into the ways that companies of all kinds are digitally transforming to make smarter data-driven decisions, monetize their data, and create companies that will thrive in our current era of Big Data. When I saw Sisense BloX, I was like ‘woah.’”. Combine insights and actions.

Digital Transformation 93

Digital Transformation Product Management Product Management Digital 93

Analysts Corner

OCTOBER 26, 2023

> Keep reading… Software projects & product management 1) “Who”, “What”, “Why”, “How”, “When” in Product Development by Kavindi Bogahawatte “Who,” “what,” “why,” “how,” “when,” and “where” are collectively known as the WH questions. . > What does Big Data mean? But, how do you get started? AI Pitfalls?

Enterprise Architecture 130

Enterprise Architecture Requirements Gathering Business Analysis Business Analysis 130

Cprime

MAY 7, 2021

Big Data Analysis. On a daily basis, organizations produce an ever-increasing amount of structured and unstructured data that they have to capture and process. On top of that, companies have to shift to data-driven decision-making to remain competitive and remove processes that rely on gut-feeling or flaky data.

Data Visualization 52

Data Visualization Visualization Big Data Product Management 52

GAVS Technology

JANUARY 7, 2021

Gartner defines AIOps as a combination of big data and machine learning functionalities that empower IT functions, enabling scalability and robustness of its entire ecosystem. These systems transform the existing landscape to analyze and correlate historical and real-time data to provide actionable intelligence in an automated fashion.

Vision 52

Vision Artificial Intelligence Monitoring Big Data 52

Whizlabs

DECEMBER 13, 2020

Enterprises can achieve these outcomes by leveraging analytical systems with capabilities for ingesting big data throughout the value stream. The systems will also support human and machine data alongside relying on different analytics techniques such as NLP, deep learning, and others. Value Streams.

Monitoring 98

Monitoring Digital Transformation Product Management Product Management 98

Cprime

MARCH 17, 2023

Building the future with AI, Big Data and Cloud These conceptual updates reflect the framework’s future-facing outlook, recognizing the importance of these emerging technologies to the success of enterprises in the future. (SAI) breaks down the 6.0

Agile 52

Agile Big Data Innovation Product Management 52

Sisense

FEBRUARY 3, 2021

While most organizations know that data is crucial to having a competitive advantage, only 27% of companies have successfully created a data culture or widely adopted a big data or AI initiative, according to a recent NewVantage Partners survey. Inbar Shaham is a Senior Product Manager at Sisense.

Artificial Intelligence 59

Artificial Intelligence Skillset E-Commerce Product Management 59

Whizlabs

APRIL 19, 2021

His specialities include CyberSecurity, IoT, Blockchain, Crypto, Artificial Intelligence, Private Equity, Venture, Cloud, Big Data, Mobile, Social, 5G, CIO, Governance, Due-diligence, STEM, Data Centers. Richard Seroter – Director of Outbound Product Management at Google, Pluralsight Tainer, Speaker, Author.

Cloud Computing 145

Cloud Computing IBM Support IBM Maintenance IBM cost 145

Sisense

OCTOBER 21, 2020

Data models are the engine that powers every aspect of your company’s data program: You perform advanced analytics on them, product teams power your app’s embedded analytics, and front-line users rely on them for self-service exploration. Picking a direction for your data model. Build it boldly!

Data Modelling 71

Data Modelling Embedded Analytics Design Thinking Big Data 71

Tableau

MARCH 29, 2021

Product Manager. we’ve added new connectors to help our customers access more data in Azure than ever before: an Azure SQL Database connector and an Azure Data Lake Storage Gen2 connector. As our customers increasingly adopt the cloud, we continue to make investments that ensure they can access their data anywhere.

Data Warehouse 52

Data Warehouse Big Data Product Management Product Management 52

Argon Digital

NOVEMBER 15, 2022

Data Virtualization : A data layer that retrieves and takes data that is siloed across many systems, manages this unified data, and delivers it to users in real time. Big Data Platform Integration : Provides integration to Big Data sources such as Hadoop and other NoSQL sources (MongoDB, Cassandra, and HBase).

Big Data 52

Big Data Documentation Monitoring Visualization 52

Capiro

FEBRUARY 2, 2021

what data an organisation has. Modern applications such as artificial intelligence (AI), big data, machine learning, business intelligence and data warehousing are dependent on such knowledge. Business analysts who have a deep understanding of data can support the data scientists employed on applications such as AI.

Business Analysis 52

Business Analysis Business Analysis Enterprise Architecture Artificial Intelligence 52

Data Pine

MARCH 31, 2022

A BI analyst is responsible for drilling down into large sets of relevant data, including KPIs, that a business or organization uses in relation to the development of various processes, initiatives, and departments. A BI analyst assists in strategic thinking, data-driven decision-making , and the discovery of new, valuable conclusions.

Business Intelligence 95

Business Intelligence Business Intelligence Data Visualization Visualization 95

Actian

FEBRUARY 21, 2019

We’re not talking about a Big Data challenge here. Recording say 5 minutes of video per transaction and a few bits of data representing servo-mechanism action isn’t that difficult. I haven’t checked social media yet or written my feedback there yet, but you can see where this is going, lots of lost sales.

Retail 40

Retail Big Data Product Management Product Management 40

Sisense

FEBRUARY 6, 2020

In recent years, powerful BI tools that help analyze and visualize data, and allow you to collaborate in the Cloud using your data across a wide array of sources. It’s no surprise, then, that the Big Data analytics market that was worth $8.5 Andy Rudd, Google Sheets Product Manager. billion by 2023.

Data Analytics 97

Data Analytics Data Analytics Visualization Product Management 97

Insight Software

MAY 20, 2022

If you are challenged by how exactly to go about extracting the key takeaways amidst millions of records worth of data, you’re not alone. Whether a data analyst, executive, product manager, or in the marketing world, we’re all looking for the easy path. Enable cookies. How insightsoftware is using cookies.

Big Data 52

Big Data IBM Support IBM Maintenance Embedded Analytics 52

Insight Software

MAY 1, 2023

It drives increased renewal rates, exposes new opportunities to sell more products, and can create new revenue streams. Ideally, your primary data source should belong in this group. Modern Data Sources Painlessly connect with modern data such as streaming, search, big data, NoSQL, cloud, document-based sources.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52