Data Dashboards vs. Data Insight https://lnkd.in/dYGYNBx5 Today’s BI tool and augmented analytics trends go beyond static dashboards, metrics and reporting. Static, restrictive Dashboards do not reveal the ‘why,’ the ‘what’ or the how! Augmented analytics provides true data insight and meaningful context. https://lnkd.in/dE3H7ujv #DashboardsVSDataInsight #AugmentedAnalytics #DataQuality #DataQualityDQ #DataInsight #DataQualityTools #DataIntegrity #DataGovernance #DataQualityManagement
Smarten: Insights & News
IT Services and IT Consulting
Delivering the value of your Data – You too are a Data Scientist
About us
Smarten - Delivering the value of your Data! Create Citizen Data Scientists, Suggest Trends, Predict Results Visit https://www.smarten.com for more details.
- Website
-
https://www.smarten.com
External link for Smarten: Insights & News
- Industry
- IT Services and IT Consulting
- Company size
- 51-200 employees
- Founded
- 2001
- Specialties
- Advanced Data Discovery, Data Discovery, Smart Data Visualization, Data Visualization, Predictive Analytics, Citizen Data Scientists, Data Scientists, Business Intelligence, Self-Serve BI, Self-Serve Data Preparation, Data Preparation, and Advanced Analytics
Updates
-
If analytics is still optional in your product, your product might be too. Sounds a bit harsh, but this is where things are heading for ISVs. Your users aren’t logging in to “check reports.” They’re running operations. Managing pipelines. Tracking performance. Making decisions in real time. And they expect the product to support those decisions while they’re working - not after, not somewhere else. When insights don’t show up in that moment, users notice the gap immediately. That’s when analytics stops feeling like a feature you added… and starts becoming something they depend on. And once users depend on it, the role of analytics changes. It’s no longer a layer. It’s part of the system itself - built into workflows, shaping actions, driving outcomes. That’s the shift from feature to infrastructure. If you’re building for users who rely on your product every day, this is worth thinking about! https://lnkd.in/gVy7VRCX #ISV #AugmentedAnalytics #ProductStrategy #DataDriven #BIForISVs #EmbeddedBI
-
Clickless Search Analytics and NLP: Misspellings and Abbreviations? No Problem! https://lnkd.in/dXHsNaKA Clickless Analytics leverages Natural Language Processing (NLP) with intuitive search analytics and a user-friendly approach. There is no need for business users to create complex searches or be frustrated by endless clicks and complex navigation and commands. This familiar Google-style search solution provides tools to search for answers with insight and context including synonyms, phonetics and abbreviation. Enter a question, such as ‘Who sold the most fruit juice in Seatle, Washington in Christmas of 2018’. The system will recognize and process information correcting for spelling errors, e.g., ‘Seatle’ instead of ‘Seattle’. Ask, ‘Who sold the most fruit juice in Seattle, WA’, and the system will recognize and process the question using an abbreviation, e.g., ‘WA’ instead of ‘Washington’. Ask a question and get answers in a way that is meaningful to you, while accounting for abbreviations, synonyms and phonetics. Get started today! #ClicklessAnalyticsSynonymsPhoneticsAbbreviations #CitizenDataScientist #NaturalLanguageProcessing #NLPSearch #NLPSearchAnalyticsIndia #ClicklessAnalytics #DataLiteracy
Smarten Natural Language Processing (NLP) Including Search Analytics for Synonyms and Abbreviations
https://www.youtube.com/
-
Cloud-first works. Until your buyer isn’t cloud-only. Many ISVs hit friction late in the sales cycle - not because of the product, but because of deployment constraints. We explored why this keeps happening → https://lnkd.in/gVkPT28B #ISV #EnterpriseTech #CloudComputing #HybridCloud #SaaS #B2B
-
In many ISV products, the gap isn’t data. It’s everything that comes after. Selecting columns. Choosing techniques. Figuring out how to analyze. That’s where users slow down. Or stop. Smarten Auto Insights changes that. No column selection. No Influencer analytics. No Algorithm Selection Users simply select the dataset. And the system: – understands the data – determines the most imortant columns - auto selects best fit algorithm – presents insights in clear, natural language Completely automatic. Which means users spend less time setting up analysis and more time using it. If your product already surfaces data, it’s worth asking how easily users can turn it into insight. Take a closer look 👇 https://lnkd.in/gmajphvK #AutoInsights #ISV #AugmentedAnalytics #ProductAnalytics
-
-
Embedded BI Tools Provide Extreme Benefits Without Significant Investment https://lnkd.in/dnA8G7du By incorporating Embedded BI, you allow business users to access familiar enterprise software tools and apps using a single sign-on environment that allows them gather and analyze data in one place, without manual migration of data or the use of a sophisticated, complicated analytics solution. https://lnkd.in/dmGN4Juc #EmbeddedBIImprovesResults #EmbeddedBI #EmbeddedBusinessIntelligence #BIIntegrationAPIs #EmbeddedBIWithAPIs #EmbeddedAnalytics #EmbeddedAugmentedAnalytics #ModernBIAndAnalytics #AugmentedAnalytics
-
-
FY 2026–27 is a good time to ask - are your metrics truly aligned? Our Founder & CEO, Kartik Patel shares his take on why unclear definitions quietly break analytics and erode trust. A must-read before your next dashboard push! #Analytics #DataStrategy #BIForISVs #EmbeddedBI
Most analytics problems start with unclear metrics. I have seen strong products struggle even with clean data and well-built systems. The reason was simple. Teams used the same metric in completely different ways. Revenue meant one thing to product, another to finance, and a different story to customers. I have also seen this confusion reach customers, where numbers change across screens and teams explain them in different ways during reviews. At that point, analytics stops being a source of truth. It becomes a source of confusion. Before scaling dashboards, I focus on one step that changes everything. I make sure metric definitions are clear and shared across all teams and customers. - What exactly counts as an active user? - When should a conversion really register? - How do we truly measure churn? When these answers vary, insights break quietly. Decisions slow down. Trust fades across teams. Strong analytics depends on shared understanding. Clear definitions keep everyone moving in the same direction. In my experience, trust in analytics grows from clarity in what we measure and why we measure it. Start with definitions before building more dashboards. How clearly are your most critical metrics defined today? #Analytics #DataStrategy
-
Why Should My Business Consider Embedded BI Tools? #EmbeddedBI #EmbeddedBusinessIntelligence #BIIntegrationAPIs #EmbeddedBIwithAPIs #EmbeddedAnalytics #EmbeddedAugmentedAnalytics #EmbeddedBIforSoftwareProducts #AnalyticsAndBIPlatform #ModernBIandAnalytics #AugmentedAnalytics
-
Marketing Optimization Use Case: Leverage Campaigns and Messaging with Advanced Analytics https://lnkd.in/dE9e8tKY Analytics can help your business to look at data in a targeted fashion to determine whether above the line (ATL) broad-based advertising will be more effective than below the line (BTL) advertising that targeted specific customer segments or specific customer characteristics. The answer is often different for each product or service and the type of messaging, target customer and insight varies from one region or market to another. Discover the benefits of Marketing Optimization as defined in this use case. #OptimizeMarketingAndResults #AdvancedAnalyticsUseCases #AugmentedAnalyticsUseCases #MarketingOptimizationAnalysis #MarketingOptimizationAnalytics #PredictiveAnalysisUseCases #PredictiveAnalyticsUseCases
-
-
Most companies don’t lack data. They lack people who can use it without asking. In many ISV environments, data still flows like this: User → Analyst → Report → Decision Which means: Questions wait. Decisions slow down. Momentum drops. Not because data isn’t available. Because access isn’t shared. The idea of the Citizen Data Scientist shifts this. It gives business users the ability to explore, question, and act on data themselves - without needing technical expertise. That’s when data stops being a function. And starts becoming part of everyday work. If analytics is central to your product, it’s worth asking how many users can actually work with data independently. https://lnkd.in/gbE_NaAc #CitizenDataScientist #ISV #AugmentedAnalytics #DataAccess #BIForISVs #EmbeddedBI