Q

2.0

๐Ÿ” DataLens โ€” Unified Data Workspace Profile ยท Visualize ยท Narrate ยท Chat Core platform ยท not a separate license

Your data, fully explained. Not just delivered.

See it. Trust it. Profile it. Visualize it. Narrate it. Chat with it. One workspace. No tool switching.

DataLens is xAQUA's unified data exploration, profiling, visualization, and conversational analytics workspace. Users don't just receive rows and columns โ€” they get the data, its structure, its quality, its semantics, and the tools to analyze it in one integrated experience.

In xAQUA, data is never delivered as just a table. Quality, structure, semantics, and analytics come with it โ€” by default.

๐Ÿ”
DataLens ยท Hospital Data
Customer prediction ยท governed dataset
Live
Data View
Profile
Schema
Smart Viz
Story
Chat
Data Profile Region
Sub-Saharan
130k
Europe
129k
Asia
129k
N. America
98k
Schema 12 cols
Region String
Country String
Item Type String
Sales Channel Enum
Smart Viz auto ยท violin
Sales Timeseries live
โœ“ governed SemantIQ definitions ยท Qualix quality score 94 ยท row-level security ยท 320ms
DataLens ยท Unified Workspace
8
Capabilities
1
Workspace
0
Tool switches
Live
Not extracts
Native
Platform module
Why DataLens Exists

Most tools deliver a table. DataLens delivers the picture.

Most data tools hand back a table and walk away. The user is left to figure out what it means, whether it's complete, what the columns actually represent, and which tool to open next to make it useful.

DataLens flips that. Every dataset arrives analyzable, explainable, and analysis-ready โ€” with quality signals, schema, semantic context, profiling, smart visualization, narrative explanation, and natural-language chat all in one place. Because DataLens is built inside the xAQUA platform, it is not a bolt-on dashboard product or a separately licensed BI layer. It is a native xAQUA experience built on the same semantic foundation and data quality framework that power the rest of the platform.

Don't deliver data. Deliver understanding.

The old way
Five tools to understand one dataset. Six tabs. Zero confidence.
๐Ÿ“‘
01 ยท VIEW
Spreadsheet for the rows. Export, open, scroll, lose context.
๐Ÿ”ฌ
02 ยท QUALITY
Separate profiling tool for nulls, duplicates, anomalies. Different login, different vocabulary.
๐Ÿ“š
03 ยท STRUCTURE
Catalog or schema viewer to find out what each column actually means. If anyone documented it.
๐Ÿ“Š
04 ยท ANALYZE
BI tool to chart it. SQL editor to query it. Slack to ask the analyst what it means. Coffee to get through the day.
One workspace ยท every source

Connect anything. Understand everything.

DataLens sits on top of the data you already have. xAQUA does not store or move it โ€” it understands it, profiles it, visualizes it, and lets you chat with it where it lives.

โ„Snowflake
โ–ฒDatabricks
๐Ÿฆ†DuckDB
MMotherDuck
PPostgres
OOracle
MyMySQL
S3S3 / Parquet
XExcel / CSV
โ˜Salesforce
๐Ÿ”
xAQUA DataLens
unified data workspace
๐Ÿ“‘
Data + Profile
view ยท stats ยท quality
๐Ÿงฌ
Schema + Semantics
structure ยท meaning
๐Ÿ“Š
Smart Viz + Story
chart ยท narrative
๐Ÿ’ฌ
ConverseDataIQ
chat with data
Zero data movement. DataLens reads where your data lives โ€” Snowflake, Databricks, MotherDuck, DuckDB, Postgres, S3, files. xAQUA never stores your data.
What DataLens Does

Eight capabilities. One workspace.

Profile, structure, view, visualize, narrate, and chat โ€” without leaving the dataset, without learning a second tool, without exporting a row.

๐Ÿ“‘
01 ยท VIEW
Data View
Explore the dataset in a rich, interactive grid. Sort, filter, search, and inspect rows without exporting to a spreadsheet.
interactive grid
๐Ÿ”ฌ
02 ยท PROFILE
Data Profile
Automatic statistical summaries โ€” completeness, distributions, duplicates, anomalies, top values, and quality signals on every column.
auto ยท column-level
๐Ÿงฌ
03 ยท STRUCTURE
Data Structure
Column-level metadata, types, nullability, identifying attributes โ€” see how the dataset is organized and what each field really represents.
schema ยท metadata
๐ŸŽจ
04 ยท NO-CODE VIZ
No-Code Viz
Drag fields, choose a chart, render. Build visual analysis directly inside DataLens โ€” no export to a separate BI tool.
drag ยท drop ยท render
โœจ
05 ยท SMART VIZ
Smart Viz
LLM-powered visualization. Describe the question, DataLens picks the right chart for the data shape and analytical intent โ€” automatically.
LLM ยท auto-chart
๐Ÿ“–
06 ยท STORY
Data Story
Charts don't stop at the picture. DataLens narrates the patterns, trends, and outliers in plain business language โ€” automatically.
auto narrative
๐Ÿ’ฌ
07 ยท CHAT
ConverseDataIQ
Ask questions in natural language. Get answers, follow-ups, and visualizations without writing a single line of SQL.
integrated ยท in-page
๐Ÿง 
08 ยท SEMANTICS
Semantic Context
Governed definitions, business meaning, and trusted glossary terms shown alongside the data โ€” so users always know what they're looking at.
SemantIQ-aware
Data Profile ยท column-level

Know your data before you analyze it.

Every dataset opened in DataLens is profiled automatically. No script. No "go run the EDA notebook first." Just open the data and see what's actually there.

For each column: distribution chart, top values, count of nulls and NaNs, min/max/mean/median, standard deviation, unique value count. The full statistical picture, on every field, every time.

  • Distributions and top-value frequencies, per column
  • Null, NaN, duplicate, and anomaly detection
  • Numeric summary stats โ€” min, max, mean, median, stddev
  • Unique value counts and cardinality flags
  • Quality scores from Qualix shown in line
Customer Dataset ยท 1,997 rows ยท 14 columns
profiled ยท 240ms
Customer ID
numeric
max500
unique323
Customer Name
character
Bessie Cooper (80) Esther Howard (178) Dianne Russell (130)
NA17
Age
numeric
mean42.1
median39
Gender
character
F (732) M (716) Other (539)
unique3
Email
character
customer373@โ€ฆ customer464@โ€ฆ customer93@โ€ฆ
unique1,983
Region
character
North (560) South (521) East (508)
unique4
State
character
New York (504) California (512) Texas (489)
unique50
Income Level
character
Low (732) Medium (716) High (539)
unique3
Household Inc.
character
Below 30k (540) 30kโ€“60k (508) 60kโ€“100k (109)
NA12
Education
character
Bachelor (827) Master (575) PhD (465)
unique5
Zipcode
numeric
NA17
unique1,742
Join Date
date
2024-01-20 (26) 2024-02-18 (19) 2023-08-07 (19)
range36 mo
Smart Viz + Auto Data Story

A chart is good. A chart that explains itself is better.

DataLens uses LLMs to pick the right chart from your question and your data shape โ€” then narrates what the chart actually shows in plain business language.

SMART VIZ ยท LLM-CHOSEN

Describe the question. Get the right chart.

๐Ÿ’ฌ "revenue by region โ€” show me where the money's coming from"
$800M $400M $200M peak ยท ME Asia Aus Eur SSA ME NA SA Cen Car
Revenue concentrates sharply in the Middle East and Sub-Saharan Africa regions, together accounting for roughly 52% of total revenue. North America and Australia trail meaningfully despite higher transaction counts โ€” suggesting average order value, not volume, is the real driver. Worth investigating pricing alignment in the trailing regions.
NO-CODE VIZ ยท USER-DRIVEN

Drag the fields. Pick the chart.

๐Ÿ–๏ธ drag โ†’ cost ยท region ยท channel โ€” render box plot
Asia Eur ME NA SA $715M $298M
Cost variance is highest in the Middle East โ€” wider interquartile range and a higher median. Asia and South America are tightly clustered, suggesting predictable supply chain costs. The ME outlier band is worth flagging for procurement review.
ConverseDataIQ ยท in-page

Charts answer questions. Chat asks the next one.

Every dataset in DataLens comes with ConverseDataIQ built in. No new tab, no new tool, no SQL required. Just ask.

The chat understands the same governed metrics, the same semantic layer, and the same row-level security as the rest of the workspace. One number across every interface. One trusted answer.

Business users get answers without writing SQL. Analysts get a faster way to interrogate findings. Stewards get a chat that respects governance โ€” automatically.

Chat with this dataset ConverseDataIQ ยท live
๐Ÿ‘ค
Which region grew the most quarter-over-quarter?
DL
Middle East grew fastest QoQ at +18.4%, driven mostly by a jump in office supplies. Sub-Saharan Africa was second at +11.2%.
+18.4%
๐Ÿ‘ค
Show me that broken down by sales channel.
DL
Online contributed 67% of the ME growth. Offline was flat. Want the breakdown by item category too?
How It Works

Open. Profile. Visualize. Narrate. Chat.

1
๐Ÿ“‚
Open
Connect to a dataset in Snowflake, Databricks, MotherDuck, DuckDB, or any source. xAQUA never moves your data.
โ†’
2
๐Ÿ”ฌ
Profile
Distributions, nulls, anomalies, top values, and quality scores generated automatically โ€” column by column.
โ†’
3
๐Ÿ“Š
Visualize
Smart Viz picks the right chart from your question. Or drag, drop, override โ€” your call.
โ†’
4
๐Ÿ“–
Narrate
Auto Data Story explains what the chart shows โ€” patterns, outliers, drivers โ€” in plain business language.
โ†’
5
๐Ÿ’ฌ
Chat
Ask the next question. ConverseDataIQ keeps going โ€” same dataset, same governance, no SQL.
Under the hood ยท every chart is code

Not a PNG in a ticket. A living spec.

Every DataLens chart is a declarative spec โ€” metric, dimensions, transforms, chart type. Version-controlled, shareable, reproducible. The PNG in your deck has a living equivalent that refreshes against the source.

Edit the spec with plain English. Swap metrics. Change breakdowns. The chart redraws โ€” and every published instance updates.

  • Declarative spec per chart (JSON / YAML)
  • Version-controlled, diff-able, reviewable
  • Live embed: chart stays fresh wherever it's pasted
  • Export static: PNG, SVG, PDF, PowerPoint
  • Publish as a Reeve data product with entitlements
DataLens ยท chart spec
# prompt
"revenue by region โ€” show me where the money's coming from"

โ”€โ”€ generated spec โ”€โ”€
type:     area
metric:   total_revenue        # via SemantIQ
dim:      region               # 9 values, sorted by metric
narrative: enabled              # Auto Data Story
axis:
  y_format: "$0M"
  highlight: "max"

โ”€โ”€ execution โ”€โ”€
  source  Snowflake (live)
  rows    412,037
  render  320ms
  status  โœ“ LIVE ยท embeddable ยท narrated
Who DataLens is for

Built for everyone who touches data.

๐Ÿ‘ฅ
Business users
self-service ยท non-technical
Trusted self-service exploration without the technical complexity. Open a dataset, see what's there, ask a question โ€” and trust the answer because it's governed by the same semantic layer the analysts use.
โœ“ Answers in minutes, not Mondays
๐Ÿ“ˆ
Analysts
faster profiling ยท faster delivery
Profiling, visualization, narration, and follow-up analysis in one workspace. Stop bouncing between five tabs to make sense of a fresh extract โ€” DataLens compresses that into one screen.
โœ“ One workspace, end-to-end EDA
๐Ÿ›ก๏ธ
Data stewards
structure ยท metadata ยท quality
Visibility into structure, metadata, and quality before downstream use. Profile incoming datasets in seconds. Catch bad data before it gets baked into a report.
โœ“ Quality assessment as a glance
๐ŸŽฏ
Decision-makers
execs ยท ops ยท leadership
Insight that is transparent, explainable, and analysis-ready. Charts come with a story. Numbers come with quality scores. The next question is one chat away.
โœ“ Decisions on data you can defend
What makes DataLens different

Not a separate BI tool. Part of the platform.

DataLens is a native xAQUA module โ€” built on the same semantic and quality foundation as the rest of the platform. It is included, not licensed.

Platform-native · not a bolt-on
Part of the xAQUA core platform โ€” not a standalone BI tool that's been integrated. No extra license, no separate stack, no separate identity model.
Data + quality + meaning
Not just a table viewer. DataLens combines data, quality, structure, semantics, and analytics in one experience. Every dataset arrives complete.
Built on the semantic layer
Same "revenue" as ConverseDataIQ. Same "customer" as Narratix. One number across every interface โ€” not three, not seven.
Governance enforced at render
Row-level security and column masking honored at query time. Same chart, different data, different roles โ€” safely.
Augments your team
Frees analysts from rote profiling and chart-formatting work so they can focus on the questions that matter. The analyst becomes faster, not redundant.
Zero data movement
DataLens reads where your data lives. xAQUA never stores your data. No cube, no extract, no copy that goes stale on Tuesday.
Q
DataLens is a core xAQUA module โ€” not a separately licensed BI product. Included with every xAQUA deployment. Same semantic layer. Same governance. Same security boundary as the rest of the platform.
Explore the platform โ†’
DataLens + AI Data Analyst

DataLens shows it. The Analyst decides it.

DataLens is the unified workspace. The AI Data Analyst is the agent that decides when a chart is the right answer โ€” vs. a profile from DataLens, a narrative from Narratix, or a query in ConverseSQL.

One question. The Analyst picks the right tool, hands you the right artifact. You don't think about plumbing.

Meet the AI Data Analyst โ†’
Insight-worthy query Data Analyst Agent
๐Ÿ‘ค
I'm new to this dataset โ€” what should I look at first?
Opened in DataLens. Profile complete: 1,997 rows ยท 14 columns ยท 17 NAs concentrated in Customer Name and Zipcode ยท 3 income levels heavily skewed.

Auto-generated three charts: revenue by region, cost distribution, sales over time. Story attached. Want me to drill into the income skew?
PDF
DATALENS
4 PAGES

Take DataLens with you. PDF brochure.

Cover, problem statement, the eight capabilities, the data profile detail, Smart Viz with auto data story, personas, and differentiators โ€” all in a four-page brief you can share with your team.

โ— 4 pages โ— US Letter โ— ~1.1 MB
Download PDF

Stop delivering data as just a table.

With DataLens, every dataset becomes transparent, explorable, visual, conversational, and ready for analysis โ€” all inside the xAQUA platform. See it live in a 30-minute demo.