Latent View Analytics Ltd
AR-FY23
First pure-play analytics company listed on Indian Stock Exchanges
Market Cap: 7594 cr
Face Value: 1.00
(1) The company provides an end to end data analytics solutions with wide-ranging capabilities like
(a) business consulting services,
AR-FY23
First pure-play analytics company listed on Indian Stock Exchanges
Market Cap: 7594 cr
Face Value: 1.00
(1) The company provides an end to end data analytics solutions with wide-ranging capabilities like
(a) business consulting services,
1/n
(b) data engineering
(c) business analytics
(d) digital solutions across:
-Marketing analytics
-Supply chain analytics
-Customer analytics
-HR, Finance and Risk analytics
(2) Company's solutions provide businesses with a comprehensive picture of the digital consumer,
(b) data engineering
(c) business analytics
(d) digital solutions across:
-Marketing analytics
-Supply chain analytics
-Customer analytics
-HR, Finance and Risk analytics
(2) Company's solutions provide businesses with a comprehensive picture of the digital consumer,
2/n
enabling them to transform existing business models or inspire new revenue streams through
(a) predictive & prescriptive analytics
(b) customer insights
(c) trend forecasts
(d) risk evaluation
(e) optimization
(f) simulation
enabling them to transform existing business models or inspire new revenue streams through
(a) predictive & prescriptive analytics
(b) customer insights
(c) trend forecasts
(d) risk evaluation
(e) optimization
(f) simulation
3/n
(3) Four major industries they serve with revenue contribution in FY23:
(a) Technology(68.9%)
(b) Industrials(12.5%)
(c) CPG & Retail(10.2%)
(d) Financial Services(8.5%)
(4) Revenue Segmentation: FY23
(a) USA: 95.1%
(b) Europe: 2.2%
(c) RoW: 2.7%
(5) Team by Qualification
(3) Four major industries they serve with revenue contribution in FY23:
(a) Technology(68.9%)
(b) Industrials(12.5%)
(c) CPG & Retail(10.2%)
(d) Financial Services(8.5%)
(4) Revenue Segmentation: FY23
(a) USA: 95.1%
(b) Europe: 2.2%
(c) RoW: 2.7%
(5) Team by Qualification
4/n
(a) Engineers: 676
(b) Management Graduates: 177
(c) Postgraduates & PhDs: 209
(d) Statisticians: 39
(e) Others: 15
(6) Talent Addition:
(a) Chief Growth Officer: Prashant Ramanujan
(b) Advisory Council: John Copeland & T.V. Kumaresh
(c) Europe Business Head
(a) Engineers: 676
(b) Management Graduates: 177
(c) Postgraduates & PhDs: 209
(d) Statisticians: 39
(e) Others: 15
(6) Talent Addition:
(a) Chief Growth Officer: Prashant Ramanujan
(b) Advisory Council: John Copeland & T.V. Kumaresh
(c) Europe Business Head
5/n
(7) The company has collaborated with renowned universities for talent sourcing & campus recruitment:
-North Carolina State University
-Carlson University
-Santa Clara University
(8) Three broad themes being played out on the overall trend of the data analytics industry:
(7) The company has collaborated with renowned universities for talent sourcing & campus recruitment:
-North Carolina State University
-Carlson University
-Santa Clara University
(8) Three broad themes being played out on the overall trend of the data analytics industry:
6/n
(a) Demand for more intelligent data tools
(b) Identification of customer pain points and crafting targeted business solutions and value propositions
(c) Embracing technological advancements
(9) Real time data continues to grow by 30% every year, with overall data projected
(a) Demand for more intelligent data tools
(b) Identification of customer pain points and crafting targeted business solutions and value propositions
(c) Embracing technological advancements
(9) Real time data continues to grow by 30% every year, with overall data projected
7/n
to grow to over 180 zettabytes by 2025
(10) FY23 performance highlights:
-Highest ever revenue
-Strong cash generation
-Employee strength 1116
-Highest onsite:offsite ratio of 1:6
(11) Clients serviced: 60
(12) Notable examples of harnessing the power of data & analytics
to grow to over 180 zettabytes by 2025
(10) FY23 performance highlights:
-Highest ever revenue
-Strong cash generation
-Employee strength 1116
-Highest onsite:offsite ratio of 1:6
(11) Clients serviced: 60
(12) Notable examples of harnessing the power of data & analytics
8/n
to overcome complex & fuzzy problems:
(a) 22% better accuracy in demand forecasting for NPI sales of a leading toy manufacturer
(b) Create an artist selection tool for easy decision-making on campaigns worth ~$70 million
(c) 25% increase in innovation success rate for one
to overcome complex & fuzzy problems:
(a) 22% better accuracy in demand forecasting for NPI sales of a leading toy manufacturer
(b) Create an artist selection tool for easy decision-making on campaigns worth ~$70 million
(c) 25% increase in innovation success rate for one
9/n
of the largest personal care brands
(13) Chennai office was Platinum certified by IGBC for it's eco-design & green interiors
(14) Key trends that will drive growth for the company:
(a) The integration of AI & ML
(b) Increased usage of big data, cloud computing, IoT &
of the largest personal care brands
(13) Chennai office was Platinum certified by IGBC for it's eco-design & green interiors
(14) Key trends that will drive growth for the company:
(a) The integration of AI & ML
(b) Increased usage of big data, cloud computing, IoT &
10/n
Edge computing
(c) The ability to analyse data in real time
(d) The adoption of automation & self-service analytics
(15) Data & Analytics applications are segmented into two types:
(a) Diagnostic/Descriptive
(b) Prescriptive/Predictive (expected to grow faster)
Edge computing
(c) The ability to analyse data in real time
(d) The adoption of automation & self-service analytics
(15) Data & Analytics applications are segmented into two types:
(a) Diagnostic/Descriptive
(b) Prescriptive/Predictive (expected to grow faster)
11/n
(16) Expenditure on R&D: 1.77 cr(1.14% of FY23 PAT: 155 cr)
(17) Subsidiaries:
(a) LatentView Analytics Corporation-USA
(b) LatentView Analytics Pte-Singapore
(c) LatentView Analytics UK Ltd
(d) LatentView Analytics B.V.-Netherlands
(e) LatentView Analytics GmbH-Germany
(16) Expenditure on R&D: 1.77 cr(1.14% of FY23 PAT: 155 cr)
(17) Subsidiaries:
(a) LatentView Analytics Corporation-USA
(b) LatentView Analytics Pte-Singapore
(c) LatentView Analytics UK Ltd
(d) LatentView Analytics B.V.-Netherlands
(e) LatentView Analytics GmbH-Germany
12/n
(18) Contribution of exports as a percentage of the total turnover of the entity: 94.14%
(19) Whole Time Directors & CEO have taken a salary cut of average 40% in FY23 with variable pay criteria
(20) Investments:
Investment in Bonds: FY22: 125.7 cr
FY23: 315.1 cr
(18) Contribution of exports as a percentage of the total turnover of the entity: 94.14%
(19) Whole Time Directors & CEO have taken a salary cut of average 40% in FY23 with variable pay criteria
(20) Investments:
Investment in Bonds: FY22: 125.7 cr
FY23: 315.1 cr
13/n
Investment in Government Securities:
FY22: 0.00 cr
FY23: 101.6 cr
(21) Advances from Customer: 0.91 cr
(22) Contract Assets:
Revenue recognised during the year but not billed: 5.88 cr
(23) Contract Liabilities:
Amounts billed but not yet recognised as revenues: 13.4 cr
Investment in Government Securities:
FY22: 0.00 cr
FY23: 101.6 cr
(21) Advances from Customer: 0.91 cr
(22) Contract Assets:
Revenue recognised during the year but not billed: 5.88 cr
(23) Contract Liabilities:
Amounts billed but not yet recognised as revenues: 13.4 cr
14/n
(24) Advertisement & Sales Promotion:
FY22: 6.33 cr
FY23: 12.9 cr
(25) Segment Revenue
India: 15.48 cr
USA: 508.17 cr
Netherlands: 11.19 cr
UK: 3.91 cr
(26) Segment non current assets
India: 26.76 cr
USA: 6.06 cr
Netherlands: 0.11 cr
UK: 0.08 cr
(24) Advertisement & Sales Promotion:
FY22: 6.33 cr
FY23: 12.9 cr
(25) Segment Revenue
India: 15.48 cr
USA: 508.17 cr
Netherlands: 11.19 cr
UK: 3.91 cr
(26) Segment non current assets
India: 26.76 cr
USA: 6.06 cr
Netherlands: 0.11 cr
UK: 0.08 cr
15/n
(27) Utilisation of IPO proceeds:
(a) Funding Inorganic Growth Initiatives: Unutilised as of March 23: 147.9 cr
Net proceeds which were Unutilised were temporarily invested in FDs, Monitoring Agency Bank account & in IPO Public Issue account
(27) Utilisation of IPO proceeds:
(a) Funding Inorganic Growth Initiatives: Unutilised as of March 23: 147.9 cr
Net proceeds which were Unutilised were temporarily invested in FDs, Monitoring Agency Bank account & in IPO Public Issue account
16/n
(28) Summary:
(a) The company is very interesting being the first pure-play analytics company
(b) Understanding of their business dynamics and dependent market is critical as there are constant moving components
(c) Right now the company is majorly dependent on USA market
(28) Summary:
(a) The company is very interesting being the first pure-play analytics company
(b) Understanding of their business dynamics and dependent market is critical as there are constant moving components
(c) Right now the company is majorly dependent on USA market
17/n
(d) Utilisation of IPO Proceeds for Inorganic Growth & Other purposes needs to be followed up as action is missing
(e) Average OPM for the past 10 years is 30-31%
(f) Tax rate keeps on fluctuating every year. Need to understand reason
(g) Promoters are reducing stake YoY
(d) Utilisation of IPO Proceeds for Inorganic Growth & Other purposes needs to be followed up as action is missing
(e) Average OPM for the past 10 years is 30-31%
(f) Tax rate keeps on fluctuating every year. Need to understand reason
(g) Promoters are reducing stake YoY
18/n
(h) Rising employee count for an AI & ML company seems contradictory. Need to understand reason.
(i) Valuations will remain high for this unique company
Any hint of growth, improving ROCE and foray in new markets will trigger a positive response from investors
#LatentView
(h) Rising employee count for an AI & ML company seems contradictory. Need to understand reason.
(i) Valuations will remain high for this unique company
Any hint of growth, improving ROCE and foray in new markets will trigger a positive response from investors
#LatentView
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