Imagine waking up Monday morning eager to make data-driven decisions. As head of marketing, you want to Fine-tune social campaigns based on latest metrics. So you dutifully log into multiple platforms, download reports and manually combine them to create one unified view before analysis can even start!
Sound familiar? This frustrating data shuffling seems like an inevitable struggle for most organizations dealing with distributed cloud tools. Metrics end up trapped in isolated reporting silos even within functions like marketing. Insights fail to scale across teams leading to disjointed experiences for customers and partners.
Supermetrics aims to liberate organizations from such data purgatory by making cloud analytics radically simple yet powerful. With the ability to automatically aggregate previously siloed metrics from 50+ platforms, teams can finally gain 360-degree contextual intelligence to spark growth and efficiency.
The High Costs of Data Fragmentation
As modern cloud-native companies embrace specialized SaaS applications across business functions, their analytics foundations become inherently fragmented. Valuable customer, product, finance and other data ends up compartmentalized across tools inadvertently worsening blindspots for leaders dependent on such insights to steer the company.
Consider that analysts spend over 80% of typical workweeks on arduous data preparation and reporting rather than actual analysis. And over 50% see their productivity limited by having to manually access metrics across disconnected sources – with CRM metrics separate from web analytics, financial KPIs isolated from marketing campaign costs and so forth.
This chronic struggle to gather a comprehensive view cuts across:
- CEOs building investor reports based on incomplete metrics
- Marketers struggling to calculate ROI of campaigns lacking revenue data
- Product managers unable to segment features by true customer value
- And other key business roles
Such pervasive data fragmentation also hinders organizations‘ speed and agility in responding to emerging opportunities or disruptive competition. Leaders often end up second-guessing decisions since available slice of data fails to represent the full picture. Critical growth opportunities get missed often at pivotal moments. At other times, excessive resources get wasted on misguided initiatives without rapid validation through readily accessible data.
Supermetrics Cuts Through the Noise for Truth
Since 2012, Supermetrics has empowered over 16,000 organizations to unshackle their data and unlock unified analytics foundations with speed at scale. With an incredibly intuitive interface and extensive automation, Supermetrics makes centralized intelligence operationally possible by letting teams automatically:
- Aggregate siloed metrics across best-of-breed SaaS applications
- Reshape fragmented datasets into analysis-ready unified structures
- Build interactive visibility through flexible dashboards and reports
- Schedule and distribute insights to stakeholders consistently
Today over 500,000 customers across 150 countries leverage Supermetrics every day to drive better business outcomes through data transformation into timely multi-source intelligence. Global leaders like Unilever, Microsoft, Sony and Verizon as well as high-growth disruptors like Canva, Squarespace and Animalz trust Supermetrics for analytics modernization.
With $35 million in venture funding and backing by leading investors like TCV, Lifeline Ventures along with experienced executives from Tableau, Microsoft, Qlik and Oracle, Supermetrics accelerates data-to-insight journeys for modern analytics leaders.
Let‘s explore the key capabilities powering such widespread analytics transformation and democratization of data.
Supermetrics Core Capabilities In-Depth
The vast range of out-of-the-box features across Supermetrics platform enables game-changing flexibility – from ad hoc analysis by business teams to centralized governance over enterprise data.
1. Unified Data Awareness Through 150+ Integrations
The starting point for organization-wide data leverage is aggregating previously siloed metrics across the dozens of point platforms active at any company – marketing analytics like Google Analytics, Facebook Ads alongside finance systems like QuickBooks or proprietary sales data in legacy on-premise warehouses.
Traditionally, analysts would have to manually extract data and move it from all these sources into a warehouse. Instead, Supermetrics provides 150+ pre-built integrations that auto-connect with SaaS and on-premise storage to ingest data through scheduled or streaming pipelines.
Whether cloud tools like Google Analytics, Salesforce CRM, email marketing platforms or local file storage in Amazon S3 and Microsoft Azure, Supermetrics leverages API and database hooks to enable analysts to skip fragmented data pulls. Unified visibility uncovers correlations like campaign costs vs. pipeline volume previously needing months of data science projects.
Such aggregated data can then load directly into 300+ destination platforms for analysis like Excel and Google Sheets to DBs like Snowflake alongside modeling tools like Dataiku.
2. Analysis-Ready Shaping With Ingestion Transformations
But Functional metrics or transactional events aggregated as-is rarely map into analysis-ready structures like cleansed dimensional tables. Extensive data modeling and reshaping usually leads to months of effort before insights unlock.
Supermetrics overcomes such delays through code-free ELT orchestration functionality built directly into the extraction process. With just drag and drop steps, transformations like pivots, joins, appends, filters and business logic can be completed as data lands from each source. Teams can immediately start uncovering insights rather than wrangling for months.
For example, marketing analysts can automatically shape their dashboard reports by:
- Appending cost data to web events from Google Analytics when pulling from ad platforms
- Rolling up transaction details from payment systems to higher level revenue metrics
- Establishing common unique keys across customer identity in sales tools vs. web visits data
With hundreds of pre-built transformations and ability to handle billions of rows, Supermetrics unlocks flexibility previously needing extensive data ops engineering. Both high-level KPI alignment and detailed analyst models happen in lockstep.
3. Actionable Intelligence Through Interactive Visualizations
Even for technically adept analysts, operationalizing insights involves building reporting infrastructures like dashboards connected to the processed data in warehouse. This can be frustrating given disconnected open source tools.
Supermetrics comes bundled with Nexla‘s leading BI visualization stack to let modelers directly build interactive dashboards, stories and apps. With drag and drop simplicity rivaling leading platforms,Pivot tables, charts and control panels with parameters transform transformed data into actionable insights using:
- One-click connections from extract and load environment
- Curated visualizations templates tailored to different functions
- Real-time syncing as new data arrives
- Dynamic filter capabilities across visuals through linking
Scheduled delivery, access control restrictions and natural language search further streamline collaborative analysis while bundling context together. The integrated commenting layer allows teams to discuss trends and dig deeper into drivers and hypotheses together.
4. Operationalized Through Extensive Automation
Without extensive automation, insights rarely make an impact as new datasets arrive needing refreshed reporting and updated briefings. Supermetrics uses built-in scheduling across extraction, transformation and visualization to turn manual workflows into auto-piloted systems ensuring insights stay relevant.
Configurable workflows triggered daily, weekly or monthly mean analysts spend minutes setting up self-serve infrastructure for diverse teams rather than constantly remaking reports and fielding one-off requests. Common refresh jobs ensure:
- Dashboard visuals update dynamically with latest aggregated data
- Changes to transformations logic automatically reprocess historical reporting
- Output reports distribute via email to subscribers on set calendars
- Alerts trigger for data validation issues or anomalous variances
With so many moving pieces abstracted away through automation, technical teams can focus on higher order data leveraging and unlocking adjacent analytics use cases.
These and dozens more fine-tuned controls to customize every facet of Supermetrics ensure organizations can tailor it to any analytics maturity stage while retaining enterprise-grade foundation.
Moving Up Analytics Maturity Curve
Like any capability evolution, deriving value from Supermetrics and unified intelligence depends greatly on current analytics norms and processes active at an organization and its cloud data estate complexity.
While Supermetrics packs an exhaustive platform, unlocking ROI requires alignment to teams‘ existing practices. By distilling analytics progress into four interdependent dimensions – data, insights, decisions and users – we can discern key needs for different maturity profiles:
1. Nascent
Key gaps revolve around lack of visibility into data and metrics beyond surface level reporting from a few known critical sources. Focus lies on building foundations:
- Onboarding new cloud data sources
- Automating recurring manual reporting
- Enabling self-serve dashboards for functionality siloed teams
2. Emerging
With more cloud tools now ingrained, analytics demands decentralize across business teams though insights remain mostly retrospective and reactive. Priorities evolve to:
- Unifying definitions and standards across metrics
- Setting up cross-functional KPIs reflecting end outcomes
- Building more forward-looking models like forecasts
3. Maturing
As analytics usage matures, leaders seek to scale centralized ‘single source of truth‘ minimizing multiplicity of metrics interpretations across the enterprise. Key to this stage is:
- Universal connectivity to validate and ingest at scale
- Flexible modeling tooling to cleanse and transform
- Collaboration enablement across tools like Tableau
4. Optimized
Finally at the cutting edge, leaders aim to directly activate intelligence within operational decisions moment to moment while retaining robust validation. Necessities include:
- Near real-time connectivityacross data ecosystems
- Contextual modeling automated through machine learning
- Embedded self-service analytics intrinsic to workflows
Based on these evolving analytics priorities across stages, Supermetrics delivers quick time-to-value by tackling early fragmentation issues. Additional platform functionality and enterprise governance then underline scalable foundations to sustain long-term analytics modernization.
Supercharging Business Impact Through Intelligence
While the technical depth across 150+ integrations, petabyte-scale data handling and hundreds of analytical models unlocked through Supermetrics is impressive, its business impact shines brightest when seen through the lens of analytics-driven leaders.
Reducing cost and risk
For online retailer Tuft and Needle, order and inventory metrics trapped across payment and warehouse systems impeded supply chain visibility. By centralizing such data from 7 systems, Supermetrics enabled granular forecasting scaling demand predictions while cutting safety stock by over 20%.
"We can now ensure we have just enough safety stock to meet demand without tying up excess working capital. Supermetrics paid for itself 10X over in just 9 months by powering data-driven expansion." – Kent Ferguson, Co-Founder
Boosting productivity and performance
By auto-aggregating web traffic, event and financial reporting into Clean dashboards, marketing analytics consultancy KlientBoost sped client onboarding 4X over manual exports while improving campaign performance 6-8% through multi-source optimization.
"Instead of constant ad-hoc reporting requests, now entire client accounts analysis happens in under an hour automatically. Our team can purely focus on high-value analysis and strategy." – John Lincoln, Co-Founder and CEO
Informing strategic shifts confidently
For smart utility metering leader Bidgely, customer usage pattern changes needed monitoring across various instances to optimize solar solutions offerings. By unifying previously siloed usage metrics with customer and product data, Supermetrics enabled precisely targeting high propensity accounts improving win rates by 15%.
"Supermetrics enabled us to detect and validate unexpected shifts in customer usage early on rather than after months. We could tailor our solar solutions much more responsively at lower risk." – VS Raghavan, VP Data & Analytics
Hundreds more such examples showcase Supermetrics driving simplified integration in complex heterogeneous technology environments while retaining enterprise governance needed for extensive reliability and control.
Expanding the Vision for Data Leverage
Given the exponential growth and specialization of business solutions, analytics fragmentation issues only look to multiply unless systems like Supermetrics propagate. Already Supermetrics is seeing increased traction across expanded roles:
For data and analytics leads: Operationalize dataflows across core systems like data warehouses and business intelligence platforms through pre-built APIs and integration accelerators
By marketers: Enrich campaign measurement by dynamically blending marketing expenses from tools like MediaMath and Marketo with engagement data from mobile and web analytic platforms.
Empowering channel and sales managers: Combine transaction data from payment systems like Stripe with rep performance data and customer records for holistic partner visibility
Underpinning business analysts: Pull together financial actuals from enterprise systems, budget plans from planning tools and operational drivers for regular forecasting accuracy checks
Even for organizations with complex on-premise and cloud hybrid technology environments, Supermetrics forms a versatile cloud data integration overlay to significantly accelerate time-to-insight. It can readily pair with established analytics platforms like Looker, Tableau and Microsoft Power BI to enhance their connectivity across vital SaaS data sources.
For agile product development teams, Supermetrics further ensures customer signals remain accessible in centralized views even as new SaaS tools get evaluated across the enterprise periodically. The extensive connectivity shines by sustaining unified analytics perspectives amidst constantly evolving technology landscapes.
Key Takeaways
As cloud adoption crosses functional boundaries within modern digital organizations, business intelligence and data warehousing stacks struggle with keeping pace leading to fragmented visibility and insights trapped within siloed tools. Vital signals get obscured causing organizational blindspots to emerge and persist.
Powered by smart automation across key phases of the analyze-to-activate cycle, Supermetrics offers a versatile solution to help enterprises centralized data leveraging. With the Supermetrics platform, organizations can readily:
- Liberate metrics locked away across dozens of SaaS application databases onto cloud or on-premise warehouses
- Rapidly transform fragmented metrics into analysis-ready structures using intuitive ELT orchestration
- Build interactive dashboards to unlock key insights through flexible modeling
- Operationalize reporting and refresh workflows through extensive scheduling controls
Proven with thousands of global customers like Microsoft, Sony and Verizon, Supermetrics tackles head on the toughest barriers around distributed data and metrics ultimately inhibiting fact-based decisions at scale for modern businesses.
The risk-free trial makes it incredibly easy to experience first-hand how Supermetrics can help your organization resolves lingering data chaos – making cloud intelligence simple, scalable and actionable.
So why not get started today with streamlining your analytics?
