Granularity Is the True Data Advantage
Dataversity
MAY 3, 2024
However, many organizations fall into the trap of thinking that more data means more sales, when these two factors aren’t directly correlated.
Data Modelling Digital Digital Transformation 
Considerations for MDM and Digital Transformation
The Data Administration Newsletter
APRIL 18, 2023
In today’s digital business ecosystem, digital transformation is no longer an option for modern businesses. The foundation of a business’s digital transformation is effective data management.
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Trending Sources
The Data Journey: From Raw Data to Insights
Sisense
JULY 22, 2020
Doing this will require rethinking how you handle data, learn from it, and how data fits in your digital transformation. Simplifying digital transformation. The growing amount and increasingly varied sources of data that every organization generates make digital transformation a daunting prospect.
150+ Top Global Cloud Thought Leaders and Next Generation Leaders of 2021
Whizlabs
APRIL 19, 2021
It is loud and clear that Cloud Computing is fundamental to the new wave of digital transformation. Lori’s must read blogs are The Third Wave of Cloud is Cresting , The Fourth Wave of Cloud is Imminent and Will the Emerging Edge Fix My Digital Gaming Experience? Drew started off his career as a Software Engineer.
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Self-Service Analytics for Google Cloud, now with Looker and Tableau
Tableau
OCTOBER 8, 2021
It's more important than ever in this all digital, work from anywhere world for organizations to use data to make informed decisions. However, most organizations struggle to become data driven. Leveraging Looker’s semantic layer will provide Tableau customers with trusted, governed data at every stage of their analytics journey.
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Unleash the Power of Advanced Analytics with the Sisense Q4 2019 Release
Sisense
DECEMBER 3, 2019
Even though we create a tremendous amount of it (90% of the world’s data was created in the past year), research shows that we are only using 1% of this data. The rapid growth of data volumes has effectively outstripped our ability to process and analyze it. On-demand compute resources and MPP cloud data warehouses emerged.
Incorporating Artificial Intelligence for Businesses : The Modern Approach to Data Analytics
BizAcuity
MARCH 31, 2022
You can also notice real-estate, education and automotive industries trying to leverage data for a better competitive advantage. By 2025, 80% of organizations seeking to scale digital business will fail because they do not take a modern approach to data and analytics governance. Source: Gartner Research).
How quickly can you start improving CX through digital
Clarasys
OCTOBER 19, 2021
To determine how quickly you can start improving CX through digital is dependent on how well you know several aspects of your business… 1. What kind of data is held? Who needs the data? MORE: 4 key practices to manage a digital portfolio for optimum impact to CX & ROI. Your customers.
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Self-Service Analytics for Google Cloud, now with Looker and Tableau
Tableau
OCTOBER 8, 2021
It's more important than ever in this all digital, work from anywhere world for organizations to use data to make informed decisions. However, most organizations struggle to become data driven. Leveraging Looker’s semantic layer will provide Tableau customers with trusted, governed data at every stage of their analytics journey.
Government 98
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Shift governance and data management to enable, not restrict, your organization
Tableau
OCTOBER 14, 2021
Having complete, accurate data in all employees’ hands and workstreams helps organizations solve business problems with the customer journey in mind—especially in rapidly changing markets. With organizations accelerating to digital business practices, data is the key to transformation.
Government 98
98 
Shift governance and data management to enable, not restrict, your organization
Tableau
OCTOBER 14, 2021
Having complete, accurate data in all employees’ hands and workstreams helps organizations solve business problems with the customer journey in mind—especially in rapidly changing markets. With organizations accelerating to digital business practices, data is the key to transformation.
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How Skullcandy Uses Predictive and Sentiment Analysis to Understand Customers
Sisense
SEPTEMBER 9, 2019
Mark Hopkins is the Chief Information Officer at Park City, Utah based Skullcandy, leading the global IT, Digital, and Customer Service teams. Then we ran Kraken’s machine learning and predictive modeling engine to get the results. Like any other data project, it won’t be instantly clear what your data model should look like.
Enterprise Data Management — Driving Large-Scale Change in Your Organization
Sisense
JULY 6, 2020
Inaccurate data leads to generating unreliable insights which, in the long run, lead the business in the wrong direction. This is why dealing with data should be your top priority if you want your company to digitally transform in a meaningful way, truly become data-driven, and find ways to monetize its data.
Data fabric’s value to the enterprise
Tableau
MAY 11, 2022
When you work in IT, you see first hand how the increasing business appetite for data stresses existing systems—and even in-flight digital transformations. Data refresh failure detection that flags the issue to data users for mitigation and downstream consumers. May 11, 2022 - 6:16pm. May 11, 2022.
Data fabric’s value to the enterprise
Tableau
MAY 11, 2022
When you work in IT, you see first hand how the increasing business appetite for data stresses existing systems—and even in-flight digital transformations. Data refresh failure detection that flags the issue to data users for mitigation and downstream consumers. May 11, 2022 - 6:16pm. May 11, 2022.
Getting Started With People Analytics
Sisense
OCTOBER 27, 2020
In The Future of Work , we explore how companies are transforming to stay competitive as global collaboration becomes vital. As companies digitally transform and become data-driven, each department and team needs to find its own ways to embrace data and insights to make smarter decisions. that you’ll be using.
Analyze Data Faster with Google Cloud’s BigQuery Storage API
Sisense
APRIL 7, 2020
Google BigQuery: Made for Big Data. Pairing a company’s Google Cloud data with a great analytics tool like Sisense enhances query experience improves their digital journey. There are so many options today when choosing a cloud data warehouse. This reduces data movement and increases efficiencies for teams.
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Enterprise Innovation: Think Big, Act Small
Sisense
JULY 8, 2020
Partnering with your data team can help you get the most out of early wins by building versatile data models that can be used for multiple applications. Using a standardized data model allowed the team to tackle their customers’ other high priority needs quickly.
Tableau: 9 years a Leader in Gartner Magic Quadrant for Analytics and Business Intelligence Platforms
Tableau
JANUARY 27, 2021
In 2020, we released some of the most highly-anticipated features in Tableau, including dynamic parameters , new data modeling capabilities , multiple map layers and improved spatial support, predictive modeling functions , and Metrics. With data at its core, the Customer 360 is a key enabler for digital transformation.
Quest for the Best Low Code Platforms in 2020
Marutitech
NOVEMBER 13, 2020
Some of these include automating processes, accelerating digital transformation, and meeting business demands for development. One of the main factors for the rise of the low code development model is faster deliverability and better innovation. Offers declarative data modeling. Allows hand-coding.
Domo Named to Constellation ShortList™ for Multicloud Analytics and Business Intelligence Platforms and ShortList for Embedded Analytics
Domo
AUGUST 4, 2023
The Constellation ShortList helps organizations narrow their search for the technologies they need to meet their digital transformation goals. The company was also named to the first-ever Q2 2023 Embedded Analytics ShortList.
Changes of the business analyst role to match the latest market needs
Business Bullet
FEBRUARY 8, 2020
Design thinking , system thinking techniques, digital transformation experience and use of agile has become more important to business analysis as a result. Cloud technology, big data and machine learning have grown in popularity and use and can be termed as disruptive technologies. Disruptive technologies.
Too Much Data, Too Few Actionable Insights…Too Late!
Actian
JUNE 17, 2019
“We have more data than we know what to do with.”. Companies have been collecting large amounts of data for years in their ERP, CRM, HR, ITSM systems and many others. With digital transformation of business processes, even more data is being generated about operational processes.
Business Intelligence, and How To Get It
Insight Software
NOVEMBER 20, 2023
Unlock insights from ERP Data to Deliver Actionable Insights Let’s face it. With the volatility of the market and increasing uncertainties that arise within your business, you need actionable insights to contend with competitors buoyed by digital transformation efforts. And you need that intelligence to feed your BI tool.
Why CIOs Should Weave Data Fabrics Into Their Orgs
Domo
OCTOBER 22, 2021
It’s much easier said than done to break down data silos and to make processes more agile and nimble across a variety of stakeholder groups—mainly because each respective organization is centrally managed, but also because of the era we are in. What is a data fabric?
Unlocking Revenue Streams with BI and Analytics
Sisense
MARCH 23, 2020
Money never sleeps and neither does your data. In Monetizing Your Data , we look at digital transformation: the ways of turning data into new revenue streams and apps that boost income, increase stickiness, and help your company thrive in the world of Big Data.
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Health Data Management | Challenges and Best Practices
Astera
JANUARY 23, 2023
The global digital health market is expected to reach $456.9 Billion by 2026 , showing the crucial role of health data management in the industry. With the digitization of healthcare data, advanced analytics and reporting have taken center stage, facilitating improved decision-making in clinical care.
Five Steps for Building a Successful BI Strategy
Sisense
SEPTEMBER 12, 2019
Their BI strategy took into consideration their sensitive data, huge distribution channels, and the need for better governance to reach one version of the truth. Building on this strategy, Nasdaq provides its customers with dashboards, but it does not provide them with the ability to work directly on the data models.
7 Features You Should Look for in Your Cloud Data Warehouse Solution Providers
Astera
DECEMBER 21, 2022
Hence, it’s critical for you to look into how cloud data warehouse tools can help you improve your system. According to Mordor Intelligence , the demand for data warehouse solutions will reach $13.32 It is high time you explore which solutions can help you optimize your data warehousing system. billion by 2026. Integrations.
Why Avalanche and DataConnect are Better Together … Part 1
Actian
NOVEMBER 26, 2019
The Challenges of Connecting Disparate Data Sources and Migrating to a Cloud Data Warehouse. Migrating to a cloud data warehouse makes strategic sense in the modern context of cloud services and digital transformation. Without the right tools, this task can be nearly impossible.
Exploiting Analytics in the Cloud Without Moving All Your Data There
Actian
JULY 29, 2019
Your company has competing data needs. You need IT systems optimized for real-time transaction processing to serve as the engine for digitally transformed business processes. You also need your data aggregated and optimized for analytics to generate both real-time insights and perform deep data-mining activities.
Leveraging Data Analytics and Automation to Create Durable, Agile Supply Chains
Insight Software
MAY 12, 2023
These challenges have spurred a wave of digital transformation initiatives across industries. And that’s where data, analytics, and automation tools come in. These powerful tools help businesses build resilient and agile supply chains that can withstand even the most unpredictable operating environments.
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Top Challenges and Opportunities for Chief Data Officers
Sisense
FEBRUARY 24, 2021
This situation can quickly pose a dilemma for the chief data officer. Do they stifle innovation because a group or application doesn’t fit into their overarching data model? Or do they encourage novel ideas at the risk of having unconnected data? Charles Holive is the chief monetization officer at Sisense.
Data Migration Challenges: Strategies for a Smooth Transition
Astera
AUGUST 16, 2024
Data migration is the process of selecting, extracting, preparing, and transforming data, followed by a permanent transfer to a new destination. The new destination can be a new file format, location, storage system, computing environment, database, or data center.
Unstructured Data Analytics — A Complete Guide
Astera
OCTOBER 7, 2022
Modern enterprises continue to embrace digital transformation at scale — with business analytics at the forefront of this revolution. Across industries, organizations generate a massive volume of data. It’s fair, given the unstructured data may hold valuable insights to augment a business’s market competitiveness.
What Data Practitioners Need to Know (and Do) About Common Language
Dataversity
MARCH 18, 2022
Redman) served as the judge in a mock trial of a data architect (played by Laura Sebastian Coleman) […]. The post What Data Practitioners Need to Know (and Do) About Common Language appeared first on DATAVERSITY. Weinberg [1] In March 2019, one of us (Thomas C.
Is Your Data Making a Difference?
Actian
MAY 21, 2019
The refinement process starts with the ingestion and aggregation of data from each of the source systems. This is often done in some sort of data warehouse. Once the data is in a common place, it must be merged and reconciled into a common data model – addressing, for example, duplication, gaps, time differences and conflicts.
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Do you Need a Data Fabric?
Actian
MARCH 3, 2020
It enables you to abstract your data from systems that are physically and logically different into a common set of data objects so you can treat them as a unified enterprise data set. Demand for real-time and event-driven data for decision making. Growth in operational analytics and business-led data modeling activities.
Soft Stuff Uses Analytics to Pivot During Pandemic
Sisense
JUNE 16, 2020
Every company is becoming a data company. 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.
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Business Architecture: The Ins and Outs with Whynde Kuehn
Bridging the Gap
NOVEMBER 16, 2022
Our core teachings are around process analysis, like in process analysis , use cases , data modeling , which goes to that glossary of terms that you were talking about, and how to manage a whole project or really an initiative. LAURA BRANDENBURG: Well, thank you so much for that. The first is just being very business minded.
Tableau: 9 years a Leader in Gartner Magic Quadrant for Analytics and Business Intelligence Platforms
Tableau
JANUARY 27, 2021
In 2020, we released some of the most highly-anticipated features in Tableau, including dynamic parameters , new data modeling capabilities , multiple map layers and improved spatial support, predictive modeling functions , and Metrics. With data at its core, the Customer 360 is a key enabler for digital transformation.
What is Data Modernization? Benefits, Importance & Components
Astera
AUGUST 13, 2024
It requires the entire organization, including IT, to prioritize the cultivation, connection, management, analysis, and utilization of data wherever it is located. A data-first modernization approach directs digital transformation efforts towards creating value centered around data rather than focusing on updating technology infrastructure.
A Cost/Benefit Guide to the Data Warehouse
Actian
JUNE 4, 2019
The value of your company’s realized business insights is directly dependent on the quality of data with which you are working. To maximize your potential value, continuous data maintenance is needed.
Sisense and Google Cloud: Driving Innovation and Digital Transformation Together
Sisense
MAY 21, 2020
The movement of data from on-premise systems to the cloud is imperative; the cloud market is nearly $250B and is growing quickly. Today, the ongoing shift to enable digitization into the cloud is seen as a primary way to modernize products and service offerings.
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